From ea712a8d66e648eabc58486b591cbaf60b6e12b6 Mon Sep 17 00:00:00 2001 From: njlyon0 Date: Wed, 3 Jul 2024 11:15:29 -0400 Subject: [PATCH] Revisited remaining slide decks (6A, 7A-B, and 8A) and made minor typo fixes/clarity improvements --- .../slides_6b/execute-results/html.json | 4 +- .../figure-revealjs/ex-graph-v12-1.png | Bin 93222 -> 93069 bytes .../figure-revealjs/ex-multi-panel-1.png | Bin 219148 -> 211737 bytes .../slides_7a/execute-results/html.json | 4 +- .../slides_7b/execute-results/html.json | 4 +- .../slides_8a/execute-results/html.json | 4 +- materials/slides_6b.qmd | 45 ++++---- materials/slides_7a.qmd | 98 +++++++++--------- materials/slides_7b.qmd | 17 ++- materials/slides_8a.qmd | 24 +++-- 10 files changed, 111 insertions(+), 89 deletions(-) diff --git a/_freeze/materials/slides_6b/execute-results/html.json b/_freeze/materials/slides_6b/execute-results/html.json index bce8906..1f9497c 100644 --- a/_freeze/materials/slides_6b/execute-results/html.json +++ b/_freeze/materials/slides_6b/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "6519c4d90b381259c91079b0649b79ee", + "hash": "a2f80c9ebc57ea38f569fd7ce2d7e949", "result": { "engine": "knitr", - "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lab 6 -- Visualization II\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n::: {.cell}\n\n:::\n\n::: {.cell}\n\n:::\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Muddiest Point Review\n- Data Visualization with `ggplot2`\n - Editing `theme` elements\n- Multi-Panel Graphs\n- GitHub Presence Check-Ins (1-on-1)\n - _Not_ graded! Don't stress!\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Modify background elements in a `ggplot2` graph\n- Create publication-quality figures with `ggplot2`\n- Explain the difference between plot faceting and plot grids\n\n## [Muddiest Point Review]{.gold}\n\n- Recurring topics from most recent MPs:\n\n\\\n\n. . .\n\n- What other topic(s) would you like to review?\n\n## [`ggplot2` Review]{.orange} {.smaller}\n\n- ggplots require: (1) data, (2) aesthetics, (3) geometries\n - Optionally can mess with `theme` parameters\n\n. . .\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v7-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Theme Internal Structure]{.orange} {.smaller}\n\n- Theme is composed of [elements]{.purple}\n\n\\\n\n- Elements can be modified as desired inside of `theme` function\n\n\\\n\n- Each type of element has a different 'helper function' needed to modify that element\n - Change text = use `element_text`\n - Change line = use `element_line`\n - _Remove_ an element with `element_blank`\n\n## [Theme Syntax]{.orange} {.smaller}\n\n- You use the `theme` function _once_ with as many `element_...` functions as you need\n\n\\\n\n- Here's an example of the proper syntax\n```{.r}\n# Make a simple scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # Modify its theme to make the axis font size bigger\n theme(axis.text = element_text(size = 20),\n # Also remove the grid lines\n panel.grid = element_blank())\n```\n\n\\\n\n. . . \n\n- Note how the `theme` and `element_...` functions are used together\n\n## [Gridline Theme Components]{.orange} {.smaller}\n\n- You'll learn theme element names as you work more with `ggplot2`\n\n\\\n\n. . . \n\n- Here are a few broadly relevant ones:\n - Gridlines = `panel.grid`\n - Plot background = `panel.background`\n - Axis lines (X & Y) = `axis.line`\n\n## [Get Ready]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n1. Create a script for this week\n\n\\\n\n2. Load `ggplot2`\n\n\\\n\n3. Read \"minnow.csv\" into R and check the structure!\n\n\\\n\n4. Copy the _final_ graph we made last time\n\n\\\n\n5. Assign the graph to an object\n\n## [Remove Gridlines]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- To that graph, add the following code:\n - `theme(panel.grid = element_blank())`\n\n\\\n\n- What does this do to your graph?\n\n\\\n\n- What happens if you add these two lines as well (**inside** of the `theme` parentheses!)?\n - `panel.background = element_blank()`\n - `axis.line = element_line(color = \"black\"))`\n\n## [Remove Gridlines]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v8a-1.png){width=960}\n:::\n:::\n\n\n:::\n:::{.column width=\"50%\"}\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v8b-1.png){width=960}\n:::\n:::\n\n\n:::\n::::\n\n## [Changing Text Size]{.orange} {.smaller}\n\n- We can also modify text size inside of `theme`\n\n\\\n\n. . . \n\n- Axis \"[title]{.purple}\" vs. axis \"[text]{.gold}\"\n - `axis.title` = axis label text (given to `labs` function)\n - `axis.text` = text on axis tick marks\n\n\\\n\n. . . \n\n![](images/graph-title-v-text.png){.absolute top=80 left=750 width=\"40%\" fig-alt=\"Screen capture of the x-axis of a ggplot2-style graph with the axis label (i.e., the bigger text -- a.k.a. 'title') in a rectangle and the axis tick labels (i.e., the smaller text -- a.k.a. 'text') in a separate rectangle\"}\n\n. . . \n\n- Want to modify just X or Y? Add that to the element name!\n - E.g., `theme(axis.text.x = element_text(...))`\n\n\\\n\n. . . \n\nIncrease font size with: `element_text(size = 14)`\n\n## [Change Text Size]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- Take your most recent graph\n - No gridlines, no background gray square, black axis lines\n\n\\\n\n. . .\n\n- And make the following tweaks:\n - Make the axis _title_ font size 15\n - Make the axis _text_ font size 13\n\n\\\n\n. . .\n\n- What does that leave you with?\n\n## [Change Text Size]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v9-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Customizing Legend]{.orange} {.smaller}\n\n- You can also customize the plot legend in the `theme` function!\n - Legend placement = `legend.position`\n - Legend title = `legend.title`\n\n\\\n\n. . .\n\n- `legend.position` works differently than most other elements!\n - Instead of wanting `element_...` it wants `c(, )`\n - Positions range from 0 (left / bottom) to 1 (right / top)\n\n## [Customizing Legend Syntax]{.orange} {.smaller}\n\n- Check out an example where we put the legend in the middle of the plot\n```{.r}\n# Example scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # With legend in the middle of the space\n theme(legend.position = c(0.5, 0.5))\n```\n\n\\\n\n. . .\n\n- That graph would have the legend in both:\n - the center (left / right)\n - the middle (top / bottom)\n\n## [Customize Legend]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- To the graph you created last practice:\n - Remove the legend title\n - Experiment with legend placement until you’re happy\n\n\\\n\n- You may put the legend wherever you'd like _but_:\n - It should not overlap any points / boxplots\n\n\\\n\n- What does _that_ graph look like?\n\n## [Customize Legend]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v10-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Multi-Panel Background]{.orange} {.smaller}\n\n::::{.columns}\n:::{.column width=\"65%\"}\n- Sometimes nice to have multiple graphs next to each other\n - Makes direct comparison easier\n - Journals have limits on number of figures but multi-panels still count as 1\n\n\\\n\n- Two methods (for ggplots):\n 1. `ggplot2::facet_...`\n 2. `cowplot::plot_grid()`\n\n:::\n:::{.column width=\"35%\"}\n\n\"Three\n\n:::\n::::\n\n## [Facted Graphs]{.orange} {.smaller}\n\n- `ggplot2` has an internal way of handling this called [facets]{.purple}\n\n\\\n\n- Facets work just like geometries\n - You get separate plots for each level of the facet variable\n\n\\\n\n- Facets must _all_ be the same plot type and _have identical axes_\n - Sometimes not an issue but good to keep in mind!\n\n## [Fact Syntax]{.orange} {.smaller}\n\n- To facet into 1 row x many columns:\n```{.r}\n# Example scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # Facet into rows of some other variable\n facet_grid(. ~ facet_variable)\n```\n\n\\\n\n. . .\n\n- To facet into many rows x 1 column:\n```{.r}\n# Example scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # Facet into rows of some other variable\n facet_grid(facet_variable ~ .)\n```\n\n## [Facet Example]{.orange} {.smaller}\n\n![](images/hex-penguins.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for palmerpenguins R package\"}\n![](images/hex-ggplot2.png){.absolute top=0 left=965 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- `facet_grid(. ~ island)`\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-facet-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Facet]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- Using the fish data, make a new graph that:\n - Has nest _diameter_ on the X axis\n - Has nest _depth_ on the Y axis\n - Is a scatterplot\n - Faceted by species\n - Plus any additional `theme` tweaks you want to make!\n\n\\\n\n- What does your plot look like?\n\n## [Facet]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v11-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Plot Grids]{.orange} {.smaller}\n\n- Facets work great when all panels are the same\n - What about when you have several types of graph?\n\n\\\n\n. . . \n\n- `cowplot::plot_grid` lets you put multiple different graphs together\n\n\\\n\n. . . \n\n- Have to make graphs _separately_ first, _then_ combine them\n\n\\\n\n. . . \n\n- Example syntax: \n - `cowplot::plot_grid(plot1, plot2, ncol = 1, nrow = 2)`\n - A lot of other optional arguments\n\n## [Plot Grid Example]{.orange} {.smaller}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-multi-panel-1.png){fig-align='center' width=960}\n:::\n:::\n\n\n## [Plot Grids]{.pink} {.smaller}\n\n![](images/hex-cowplot.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for cowplot R package\"}\n![](images/hex-ggplot2.png){.absolute top=0 left=965 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- Make two graphs using the fish data:\n\n1. Copy your faceted graph of diameter vs. depth\n - But remove the facet by species\n\n2. Make a boxplot with flow on the y-axis and species on the x-axis\n\n\\\n\n- Using `plot_grid`, make a multi-panel graph with these two graphs\n - Make them side by side (I.e., 2 columns, 1 row)\n\n## [Plot Grids]{.pink} {.smaller}\n\n![](images/hex-cowplot.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for cowplot R package\"}\n![](images/hex-ggplot2.png){.absolute top=0 left=965 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\\\n\\\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v12-1.png){fig-align='center' width=960}\n:::\n:::\n\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [GitHub Presence FAQ]{.orange} {.smaller}\n\n- Worth 40 pts (16% course grade)\n\n\\\n\n- Checklist-style rubric on Canvas\n\n\\\n\n- Due [day before _last_ lab]{.blue}\n\n\\\n\n- Can basically finish all of it now though if you want!\n\n## [GitHub Presence Assignment]{.orange} {.smaller}\n\n- This assignment will seriously help in interviews / job apps!\n - Shows how good of a data scientist you are\n\n\\\n\n. . .\n\n- I don't want anyone caught unawares by this assignment\n - So I'll meet with each of you 1-on-1 today to see where you're at so far\n\n\\\n\n. . .\n\n- Good chance for you to ask any questions you have!\n - Also lets me give you tips for success\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Homework \\#6\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Muddiest Point \\#7\n- Submit [Draft 2]{.pink} of Function Tutorials\n - Double check rubric to see that you're not leaving any points on the table!\n - Remember to also submit the Revision Response\n\n:::\n::::\n\n## [GitHub 1-on-1s]{.gold} {.smaller}\n\n- Stick around until we do our 1-on-1\n\n\\\n\n- After you have met with me you can leave\n - Though you're welcome to stay and work on Homework \\#6 / course assignments!\n\n\\\n\n- Any volunteers to go first?\n", + "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lab 6 -- Visualization II\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n::: {.cell}\n\n:::\n\n::: {.cell}\n\n:::\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Muddiest Point Review\n- Data Visualization with `ggplot2`\n - Editing `theme` elements\n- Multi-Panel Graphs\n- GitHub Presence Check-Ins (1-on-1)\n - _Not_ graded! Don't stress!\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Modify background elements in a `ggplot2` graph\n- Create publication-quality figures with `ggplot2`\n- Explain the difference between plot faceting and plot grids\n\n## [Muddiest Point Review]{.gold}\n\n- Recurring topics from most recent MPs:\n\n\\\n\n. . .\n\n- What other topic(s) would you like to review?\n\n## [`ggplot2` Review]{.orange} {.smaller}\n\n- ggplots require: (1) data, (2) aesthetics, (3) geometries\n - Optionally can mess with `theme` parameters\n\n. . .\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v7-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Theme Internal Structure]{.orange} {.smaller}\n\n- Theme is composed of [elements]{.purple}\n\n\\\n\n. . . \n\n- Elements can be modified as desired inside of `theme` function\n\n\\\n\n. . . \n\n- Each type of element has a different 'helper function' needed to modify that element\n - Change text = use `element_text`\n - Change line = use `element_line`\n - _Remove_ an element with `element_blank`\n\n## [Theme Syntax]{.orange} {.smaller}\n\n- You use the `theme` function _once_ with as many `element_...` functions as you need\n\n\\\n\n. . . \n\n- Here's an example of the proper syntax\n```{.r}\n# Make a simple scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # Modify its theme to make the axis font size bigger\n theme(axis.text = element_text(size = 20),\n # Also remove the grid lines\n panel.grid = element_blank())\n```\n\n\\\n\n. . . \n\n- Note how the `theme` and `element_...` functions are used together\n\n## [Gridline Theme Components]{.orange} {.smaller}\n\n- You'll learn `theme` argument names as you work more with `ggplot2`\n\n\\\n\n. . . \n\n- Here are a few broadly relevant ones:\n - Gridlines = `panel.grid`\n - Plot background = `panel.background`\n - Axis lines (X & Y) = `axis.line`\n\n## [Get Ready]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n1. Create a script for this week\n\n\\\n\n2. Load `ggplot2`\n\n\\\n\n3. Read \"minnow.csv\" into R and check the structure!\n\n\\\n\n4. Copy the _final_ graph we made last time\n\n\\\n\n5. Assign the graph to an object\n\n## [Remove Gridlines]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- To that graph, add the following code:\n - `theme(panel.grid = element_blank())`\n\n\\\n\n. . . \n\n- What does this do to your graph?\n\n\\\n\n. . . \n\n- What happens if you add these two lines as well (**inside** of the `theme` parentheses!)?\n - `panel.background = element_blank()`\n - `axis.line = element_line(color = \"black\"))`\n\n## [Remove Gridlines]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v8a-1.png){width=960}\n:::\n:::\n\n\n:::\n:::{.column width=\"50%\"}\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v8b-1.png){width=960}\n:::\n:::\n\n\n:::\n::::\n\n## [Changing Text Size]{.orange} {.smaller}\n\n- We can also modify text size inside of `theme`\n\n\\\n\n. . . \n\n- Axis \"[title]{.purple}\" vs. axis \"[text]{.purple}\"\n - `axis.title` = axis label text (given to `labs` function)\n - `axis.text` = text on axis tick marks\n\n\\\n\n. . . \n\n![](images/graph-title-v-text.png){.absolute top=80 left=750 width=\"40%\" fig-alt=\"Screen capture of the x-axis of a ggplot2-style graph with the axis label (i.e., the bigger text -- a.k.a. 'title') in a rectangle and the axis tick labels (i.e., the smaller text -- a.k.a. 'text') in a separate rectangle\"}\n\n. . . \n\n- Want to modify just X or Y? Add that to the argument name!\n - E.g., `theme(axis.text.x = element_text(...))`\n\n## [Change Text Size]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- Take your most recent graph\n - No gridlines, no background gray square, black axis lines\n\n\\\n\n. . .\n\n- And make the following tweaks:\n - Make the axis _title_ font size 15\n - Make the axis _text_ font size 13\n\n\\\n\n. . .\n\n- What does that leave you with?\n\n## [Change Text Size]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v9-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Customizing Legend]{.orange} {.smaller}\n\n- You can also customize the plot legend in the `theme` function!\n - Legend placement = `legend.position`\n - Legend title = `legend.title`\n\n\\\n\n. . .\n\n- `legend.position` works differently than most other elements!\n - Instead of wanting `element_...` it wants `c(, )`\n - Positions range from 0 (left / bottom) to 1 (right / top)\n\n## [Customizing Legend Syntax]{.orange} {.smaller}\n\n- Check out an example where we put the legend in the middle of the plot\n```{.r}\n# Example scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # With legend in the middle of the space\n theme(legend.position = c(0.5, 0.5))\n```\n\n\\\n\n. . .\n\n- That graph would have the legend in both:\n - the center (left / right)\n - the middle (top / bottom)\n\n## [Customize Legend]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- To the graph you created last practice:\n - Remove the legend title\n - Experiment with legend placement until you’re happy\n\n\\\n\n- You may put the legend wherever you'd like _but_:\n - It should not overlap any points / boxplots\n\n\\\n\n- What does _that_ graph look like?\n\n## [Customize Legend]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v10-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Multi-Panel Background]{.orange} {.smaller}\n\n::::{.columns}\n:::{.column width=\"65%\"}\n- Sometimes nice to have multiple graphs next to each other\n - Makes direct comparison easier\n - Journals have limits on number of figures but multi-panels still count as 1\n\n\\\n\n- Two methods (for ggplots):\n 1. `ggplot2::facet_grid()`\n 2. `cowplot::plot_grid()`\n\n:::\n:::{.column width=\"35%\"}\n\n\"Three\n\n:::\n::::\n\n## [Facted Graphs]{.orange} {.smaller}\n\n- `ggplot2` has an internal way of handling this called [facets]{.purple}\n\n\\\n\n. . . \n\n- Facets work similarly to geometries\n - You get separate plots for each level of the facet variable\n\n\\\n\n. . . \n\n- Facets must _all_ be the same plot type and _have identical axes_\n - Sometimes not an issue but good to keep in mind!\n\n## [Fact Syntax]{.orange} {.smaller}\n\n- To facet into 1 row x many columns:\n```{.r}\n# Example scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # Facet into rows of some other variable\n facet_grid(. ~ facet_variable)\n```\n\n\\\n\n. . .\n\n- To facet into many rows x 1 column:\n```{.r}\n# Example scatterplot\nggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) +\n geom_point() +\n # Facet into rows of some other variable\n facet_grid(facet_variable ~ .)\n```\n\n## [Facet Example]{.orange} {.smaller}\n\n![](images/hex-penguins.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for palmerpenguins R package\"}\n![](images/hex-ggplot2.png){.absolute top=0 left=965 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- `facet_grid(. ~ island)`\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-facet-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Facet]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- Using the fish data, make a new graph that:\n - Has nest _diameter_ on the X axis\n - Has nest _depth_ on the Y axis\n - Is a scatterplot\n - Faceted by species\n - Plus any additional `theme` tweaks you want to make!\n\n\\\n\n- What does your plot look like?\n\n## [Facet]{.pink} {.smaller}\n\n![](images/hex-ggplot2.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v11-1.png){fig-align='center' width=576}\n:::\n:::\n\n\n## [Plot Grids]{.orange} {.smaller}\n\n- Facets work great when all panels are the same\n - What about when you want different graphs in each panel?\n\n\\\n\n. . . \n\n- `cowplot::plot_grid` lets you put multiple different graphs together\n\n\\\n\n. . . \n\n- Have to make graphs _separately_ first, _then_ combine them\n\n\\\n\n. . . \n\n- Example syntax: \n - `cowplot::plot_grid(plot1, plot2, ncol = 1, nrow = 2)`\n - A lot of other optional arguments\n\n## [Plot Grid Example]{.orange} {.smaller}\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-multi-panel-1.png){fig-align='center' width=960}\n:::\n:::\n\n\n## [Plot Grids]{.pink} {.smaller}\n\n![](images/hex-cowplot.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for cowplot R package\"}\n![](images/hex-ggplot2.png){.absolute top=0 left=965 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n- Make two graphs using the fish data:\n\n1. Copy your faceted graph of diameter vs. depth\n - But remove the facet by species\n\n2. Make a boxplot with flow on the y-axis and species on the x-axis\n\n\\\n\n- Using `plot_grid`, make a multi-panel graph with these two graphs\n - Make them side by side (I.e., 2 columns, 1 row)\n\n## [Plot Grids]{.pink} {.smaller}\n\n![](images/hex-cowplot.png){.absolute top=0 left=1100 width=\"12%\" fig-alt=\"hex logo for cowplot R package\"}\n![](images/hex-ggplot2.png){.absolute top=0 left=965 width=\"12%\" fig-alt=\"hex logo for ggplot2 R package\"}\n\n\\\n\\\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](slides_6b_files/figure-revealjs/ex-graph-v12-1.png){fig-align='center' width=960}\n:::\n:::\n\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [GitHub Presence FAQ]{.orange} {.smaller}\n\n- Worth 40 pts (16% course grade)\n\n\\\n\n- Checklist-style rubric on Canvas\n\n\\\n\n- Due [day before _last_ lab]{.blue}\n\n\\\n\n- Can basically finish all of it now though if you want!\n\n## [GitHub Presence Assignment]{.orange} {.smaller}\n\n- This assignment will seriously help in interviews / job apps!\n - Demonstrates your data science skills\n\n\\\n\n. . .\n\n- I don't want anyone caught unawares by this assignment\n - So I'll meet with each of you 1-on-1 today to see where you're at so far\n\n\\\n\n. . .\n\n- Good chance for you to ask any questions you have!\n - Also lets me give you tips for success\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Homework \\#6\n- Muddiest Point \\#7\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Homework \\#7\n- Submit [Draft 2]{.blue} of Function Tutorials\n - Double check rubric to see that you're not leaving any points on the table!\n - Remember to also submit the Revision Response\n\n:::\n::::\n\n## [GitHub 1-on-1s]{.gold} {.smaller}\n\n- Stick around until we do our 1-on-1\n\n\\\n\n- After you have met with me you can leave\n - Though you're welcome to stay and work on Homework \\#6 / course assignments!\n\n\\\n\n- Any volunteers to go first?\n", "supporting": [ "slides_6b_files" ], diff --git a/_freeze/materials/slides_6b/figure-revealjs/ex-graph-v12-1.png b/_freeze/materials/slides_6b/figure-revealjs/ex-graph-v12-1.png index 5c199fa235fd7bf2ea8e9f397d9178d7519c84fc..24630d35bb75576b76663cbba16806873549282a 100644 GIT binary patch literal 93069 zcmeFabyU=A*FQWApo9u42!eznBCXO5A|fCm-Ka=64BdJxS}COll}_mnl@O2|x(2DC zL%N3d8qdMQaC^?P-nE`T-uL&rUF*2!%zWdz_O*NO&-SH~g7iruDk2C3a#H5bEoBJg zxDNz^TTO5beA8L*s00GRJ7p#*sbnE3EoozEW3OWSz|ctA$lA!>%ureSCIrGC7^tRa zdO?j$G`b{@^>WLT&ZMN*r_elM`IgG5YCox<&}jNTU0a+ZcWB4dZC6L 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zpu^)d7wUOQ$$`DfP^O18usS9nFIdrmj{Yw?_fM7G-{>BtH&~zvFQ}9CO}Y*nsZRU` z@fR5p6+>j!1S<-%ZAKnE6sB`Rw|g>95cB+n*j>T?VumBDQvlm51`p50hGpTCuPO z@DSx&A}CjQb|Lkr1<>Mv6(t;x{f8i?4nsmw$KK_qQ#T-^k>B(34cmb$Z16*3-MVTF z9_6k*F~ZrUjN)i)!w}WlDuhAwJ3p(lO1XgqUB&=SxfSCjAL;?ItH#!Q3XRYv4P00pd0Jx0j%UwgSohd3!K7ghP@K z$-spXB}f#q2V+MhB4;Ea-|NYtT+*tONn3z-OT6djmHS47jtB$?bj2@pf74w2^#nu) zV9NN`UHdM1-f-z4`f$YcyAjxZE**@ToQTVI_XGo`r^q!GC^<3s1@S z^zRbI|K)f7TO9g-ewTm#jGI8W{{QtjtI?Qq7akR)E1q4%fd5I0E8NPwY3TL;03wcI A8vp\n\"Comic-style\n

\n\n## [Messaging with R]{.orange} {.smaller}\n\n- By default, loops don't put stuff in the Console\n - This can make figuring out what is going on difficult\n\n\\\n\n. . .\n\n- Fortunately, R contains functions for putting text into the Console\n - `print` is the one we'll focus on!\n\n\\\n\n. . .\n\n- However, `print` only accepts one vector at a time\n\n\\\n\n. . .\n\n- `paste` makes multiple vectors into one vector\n\n## [`print` + `paste`]{.orange} {.smaller}\n\n- We can combine `print` and `paste` to assemble informative messages!\n\n\\\n\n. . .\n\n- For example:\n\n::: {.cell}\n\n```{.r .cell-code}\n# Use `paste` to combine multiple vectors\ntext <- paste(\"Hello\", \"my\", \"name\", \"is\", \"Nick\")\n\n# Then give that to `print` to return!\nprint(text)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] \"Hello my name is Nick\"\n```\n\n\n:::\n:::\n\n\n\\\n\n. . .\n\n- This can be used in a loop to create messages that change with each iteration!\n\n## [Message Example]{.orange} {.smaller}\n\n- Let's consider an example of a loop that uses `print` and `paste` to make messages\n\n\\\n\n. . . \n\n- For instance:\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|8\"}\n# Loop across vector of numbers\nfor(k in 1:5){\n \n # Square that number\n square_k <- k * k\n \n # Print a message about that result\n print(paste(\"The square of\", k, \"is\", square_k))\n\n}\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] \"The square of 1 is 1\"\n[1] \"The square of 2 is 4\"\n[1] \"The square of 3 is 9\"\n[1] \"The square of 4 is 16\"\n[1] \"The square of 5 is 25\"\n```\n\n\n:::\n:::\n\n\n## [Write Messages]{.pink} {.smaller}\n\n- We'll modify your earlier practice loops to make informative messages!\n\n\\\n\n- For the loop with `j` as the index:\n - Make the `print` step tell you the starting number and its square root\n\n\\\n\n. . . \n\n- Answer:\n```{.r}\nfor(j in 5:25){\n j_root <- sqrt(j)\n print(paste(\"The square root of\", j, \"is\", j_root))\n}\n```\n\n## [More Message Pratice]{.pink} {.smaller}\n\n- For the loop with `i` as the index:\n - Write a message that says each number and what it times 32 is equal to\n\n\\\n\n. . .\n\n- Answer:\n```{.r}\nfor(i in 5:25){\n i_mult <- i * 32\n print(paste(i, \"times 32 is equal to\", i_mult))\n}\n```\n\n## [Conditionals]{.orange} {.smaller}\n\n- You can write code to do something _only_ if some condition is met\n - Do this by using conditionals!\n\n\\\n\n. . .\n\n- Syntax is similar to logical statements for subsetting\n - Recall our earlier conversations about conditional operators:\n - `==`, `&`, `!=`, `>`, etc.\n\n\\\n\n. . .\n\n- Two main conditional functions: `if` & `else`\n\n## [Conditional Syntax]{.orange} {.smaller}\n\n```{.r}\n# Do something if a condition is met\nif(2 == 2){\n\n print(\"Math is mathing!\")\n\n # If that condition is not met...\n} else { print(\"Math is--somehow--not mathing...\") }\n```\n\n\\\n\n. . . \n\n- `if` wants:\n - Condition to check in parentheses `(...)`\n - What to do if the condition **_is_** met in curly braces `{...}`\n\n\\\n\n. . . \n\n- `else` wants:\n - Only curly braces `{...}` bits\n - Can only be used if `if` is used first\n\n## [Multiple `if`s]{.orange} {.smaller}\n\n- The example in the previous slide is just for one `if`\n - Essentially 'either [this]{.purple} or [that]{.orange}'\n\n\\\n\n. . .\n\n- You can add multiple conditions if desired!\n```{.r}\n# If the number is less than 0\nif(x < 0){\n print(\"Number is negative\")\n\n# If it's more than 0\nelse if(x > 0){\n print(\"Number is positive\")\n\n# Otherwise ...\n} else { print(\"Number is zero\") }\n```\n- See how the second condition uses `else if(...){...}`?\n\n## [Conditionals in Loops]{.orange} {.smaller}\n\n- You can use conditionals to make one loop handle _multiple_ possibilities\n\n\\\n\n- For example:\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|8|9|12|13\"}\n# Test vector\nmy_vec <- c(-10, -9, -8, 0, 4, 5, 6)\n\n# Loop across it\nfor(value in my_vec){\n \n # Make negative numbers positive\n if(value < 0){ \n print(value * -1)\n \n # Take the square root of positive numbers\n } else if(value > 0){\n print(sqrt(value)) }\n \n} # Close loop curly brace\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 10\n[1] 9\n[1] 8\n[1] 2\n[1] 2.236068\n[1] 2.44949\n```\n\n\n:::\n:::\n\n\n## [Loop Conditional Visual]{.orange} {.smaller}\n\n

\n\"Comic\n

\n\n## [Loops with Conditionals]{.pink} {.smaller}\n\n- Write a loop that:\n - Uses `g` as the index\n - Uses a vector that has all the integers between 10 and 20\n - Prints each value in the vector\n\n\\\n\n. . .\n\n- Add two conditionals to that loop:\n 1. If `g` is less than 14, `print` \"Less than 14\"\n 2. Otherwise, `print` the value as-is\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [In-Class Free Work]{.gold} {.smaller}\n\n- Draft 2 of Function Tutorials is due tomorrow!\n - Presentations during [Lab \\#7]{.blue} (this week)!\n - Requires 'revision response' where you discuss what changes you made due to feedback\n\n\\\n\n. . . \n\n- GitHub Presence is due next week\n - You have most of what you need for full points on that already\n\n\\\n\n. . . \n\n- Any questions about upcoming assignments / past topics?\n - I _strongly_ recommend taking advantage of this time!\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Muddiest Point \\#7\n- Submit [Draft 2]{.pink} of Function Tutorials\n - Remember to include _both_ the revised .Rmd _and_ your \"revision response\"\n - Check the rubric for more details\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Homework \\#7\n\n:::\n::::\n", + "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lecture 7 -- Code Iteration\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Code Iteration with Loops\n- Conditionals in Loops\n- In-Class Free Work\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Describe the contexts where iteration is useful\n- Apply loops to small arithmetic problems\n- Create a loop with a conditional\n\n## [Repeated Operations]{.orange} {.smaller}\n\n- Often we want to repeat a given operation multiple times\n - I.e., repeat _iteratively_\n\n\\\n\n. . . \n\n- Could just copy/paste our code for each iteration\n - Labor intensive & inefficient & ugly (IMO)\n\n\\\n\n. . . \n\n- Copy/pasting fails if you need to do something _many_ times\n - [Code iteration]{.purple} is our solution to these types of problems!\n\n## [Code Iteration]{.orange} {.smaller}\n\n- Iteration process:\n 1. Define the operation that you want to repeat\n 2. Define the values to be passed through that operation\n 3. Press \"go\" and sit back while the code does the work!\n\n\\\n\n. . . \n\n- Benefits:\n - Much faster than copy/pasting code\n - Code is more human-readable / navigable\n - Allows you to do something else while the code iterates itself!\n\n\\\n\n. . . \n\n- This method is called a \"[for loop]{.purple}\"\n\n## [Loop Syntax]{.orange} {.smaller}\n\n- For loops repeat an operation for each value given to them\n\n\\\n\n. . .\n\n- Fundamental syntax is as follows:\n```{.r}\n# Start of loop\nfor ( index in vector ) {\n\n # Actual operation of loop\n function(index) \n\n} # End of loop\n```\n\n\\\n\n. . .\n\n- More info:\n - index = placeholder for one value in vector\n - vector = set of values to pass through loop\n - curly brace (`{`/`}`) to define start/end\n\n## [Loop Example]{.orange} {.smaller}\n\n- Let's check out an example loop to get more comfortable with these!\n\n\\\n\n- Square each integer between 1 and 5\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|5|8|10\"}\n# Loop across vector of numbers\nfor(k in 1:5){\n \n # Square that number\n square_k <- k * k\n \n # Print that result\n print(square_k)\n \n}\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 1\n[1] 4\n[1] 9\n[1] 16\n[1] 25\n```\n\n\n:::\n:::\n\n\n## [Loop Practice]{.pink} {.smaller}\n\n- Make a vector of numbers between 5 and 25\n\n\\\n\n- Write a for loop that:\n - 1. Takes the square root of each number (see `?sqrt`)\n - 2. Prints that result (use `print` function)\n\n## [Loop Practice (Answer)]{.pink}\n\n- Demonstrating on only a few numbers\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# Define loop\nfor(j in 5:8){\n \n # Take square root\n j_root <- sqrt(x = j)\n \n # Print that result\n print(x = j_root)\n \n} # Close loop\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 2.236068\n[1] 2.44949\n[1] 2.645751\n[1] 2.828427\n```\n\n\n:::\n:::\n\n\n\n\n## [More Loop Practice]{.pink} {.smaller}\n\n- Write a second loop that:\n 1. multiplies each number by 32\n 2. Prints the result in the console\n\n\\\n\n. . .\n\n- Answer:\n```{.r}\nfor(i in 5:25){\n i_mult <- i * 32\n print(i_mult)\n}\n```\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Messaging with R]{.orange} {.smaller}\n\n- By default, loops don't put stuff in the Console\n - This can make figuring out what is going on difficult\n\n\\\n\n. . .\n\n- Fortunately, R contains functions for putting text into the Console\n - `print` is the one we'll focus on!\n\n\\\n\n. . .\n\n- However, `print` only accepts one vector at a time\n\n\\\n\n. . .\n\n- `paste` makes multiple vectors into one vector\n\n## [`print` + `paste`]{.orange} {.smaller}\n\n- We can combine `print` and `paste` to assemble informative messages!\n\n\\\n\n. . .\n\n- For example:\n\n::: {.cell}\n\n```{.r .cell-code}\n# Use `paste` to combine multiple vectors\ntext <- paste(\"Hello\", \"my\", \"name\", \"is\", \"Nick\")\n\n# Then give that to `print` to return!\nprint(text)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] \"Hello my name is Nick\"\n```\n\n\n:::\n:::\n\n\n\\\n\n. . .\n\n- This can be used in a loop to create messages that change with each iteration!\n\n## [Message Example]{.orange} {.smaller}\n\n- Let's consider an example of a loop that uses `print` and `paste` to make messages\n\n\\\n\n. . . \n\n- For instance:\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|8\"}\n# Loop across vector of numbers\nfor(k in 1:5){\n \n # Square that number\n square_k <- k * k\n \n # Print a message about that result\n print(paste(\"The square of\", k, \"is\", square_k))\n\n}\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] \"The square of 1 is 1\"\n[1] \"The square of 2 is 4\"\n[1] \"The square of 3 is 9\"\n[1] \"The square of 4 is 16\"\n[1] \"The square of 5 is 25\"\n```\n\n\n:::\n:::\n\n\n## [Write Messages]{.pink} {.smaller}\n\n- We'll modify your earlier practice loops to make informative messages!\n\n\\\n\n. . .\n\n- For the loop with `j` as the index:\n - Make the `print` step tell you the starting number and its square root\n\n\\\n\n. . . \n\n- Answer:\n```{.r}\nfor(j in 5:25){\n j_root <- sqrt(j)\n print(paste(\"The square root of\", j, \"is\", j_root))\n}\n```\n\n## [More Message Practice]{.pink} {.smaller}\n\n- For the loop with `i` as the index:\n - Write a message that says each number and what it times 32 is equal to\n\n\\\n\n. . .\n\n- Answer:\n```{.r}\nfor(i in 5:25){\n i_mult <- i * 32\n print(paste(i, \"times 32 is equal to\", i_mult))\n}\n```\n\n## [Conditionals]{.orange} {.smaller}\n\n- You can write code to do something _only_ if some condition is met\n - Do this by using conditionals!\n\n\\\n\n. . .\n\n- Syntax is similar to logical statements for subsetting\n - Recall our earlier conversations about conditional operators:\n - `==`, `&`, `>`, etc.\n\n\\\n\n. . .\n\n- Two main conditional functions: `if` & `else`\n\n## [Conditional Example]{.orange}\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# Do something if a condition is met\nif(2 == 2){\n\n print(\"Math is mathing!\")\n\n # If that condition is not met...\n} else { \n \n print(\"Math is--somehow--not mathing...\")\n\n}\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] \"Math is mathing!\"\n```\n\n\n:::\n:::\n\n\n## [Conditional Syntax]{.orange} {.smaller}\n\n- `if` wants:\n - Condition to check in parentheses `(...)`\n - What to do if the condition **_is_** met in curly braces `{...}`\n\n\\\n\n. . . \n\n- `else` wants:\n - Only curly braces `{...}` bits\n - Can only be used if `if` is used first\n\n## [Multiple `if`s]{.orange} {.smaller}\n\n- The example in the previous slide is just for one `if`\n - Essentially '[either this or that]{.purple}'\n\n\\\n\n. . .\n\n- You can add multiple conditions if desired!\n```{.r}\n# If the number is less than 0\nif(x < 0){\n print(\"Number is negative\")\n\n# If it's more than 0\nelse if(x > 0){\n print(\"Number is positive\")\n\n# Otherwise ...\n} else { print(\"Number is zero\") }\n```\n- See how the second condition uses `else if(...){...}`?\n\n## [Conditionals in Loops]{.orange} {.smaller}\n\n- You can use conditionals to make one loop handle _multiple_ possibilities\n\n\\\n\n. . . \n\n- For example:\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|8|9|12|13\"}\n# Test vector\nmy_vec <- c(-10, -9, -8, 0, 4, 5, 6)\n\n# Loop across it\nfor(value in my_vec){\n \n # Make negative numbers positive\n if(value < 0){ \n print(value * -1)\n \n # Take the square root of positive numbers\n } else if(value > 0){\n print(sqrt(value)) }\n \n} # Close loop curly brace\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 10\n[1] 9\n[1] 8\n[1] 2\n[1] 2.236068\n[1] 2.44949\n```\n\n\n:::\n:::\n\n\n## [Loop Conditional Visual]{.orange} {.smaller}\n\n

\n\"Comic\n

\n\n## [Loops with Conditionals]{.pink} {.smaller}\n\n- Write a loop that:\n - Uses `g` as the index\n - Uses a vector that has all the integers between 10 and 20\n - Prints each value in the vector\n\n\\\n\n. . .\n\n- Add two conditionals to that loop:\n 1. If `g` is less than 14, `print` \"Less than 14\"\n 2. Otherwise, `print` the value as-is\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [In-Class Free Work]{.gold} {.smaller}\n\n- Draft 2 of Function Tutorials is due next week!\n - Presentations during [Lecture \\#8]{.blue}\n - Requires 'revision response' where you discuss what changes you made due to feedback\n\n\\\n\n. . . \n\n- GitHub Presence is due next week\n - You have most of what you need for full points on that already\n\n\\\n\n. . . \n\n- Any questions about upcoming assignments / past topics?\n - I _strongly_ recommend taking advantage of this time!\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Homework \\#7\n- Submit [Draft 2]{.blue} of Function Tutorials\n - Double check rubric to see that you're not leaving any points on the table!\n - Remember to also submit the Revision Response\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Homework \\#8\n- Muddiest Point \\#8\n- GitHub Presence\n\n:::\n::::\n", "supporting": [], "filters": [ "rmarkdown/pagebreak.lua" diff --git a/_freeze/materials/slides_7b/execute-results/html.json b/_freeze/materials/slides_7b/execute-results/html.json index 5b681e7..bb6beb3 100644 --- a/_freeze/materials/slides_7b/execute-results/html.json +++ b/_freeze/materials/slides_7b/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "6c71a5a140067a001ce0f4ba12b2a062", + "hash": "a3aa4665f1039c1a020f60e56012191a", "result": { "engine": "knitr", - "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lab 7 -- Function Tutorials (Draft 2)\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Muddiest Point Review\n- Create New Feedback Surveys\n- Function Tutorials – Draft 2 Presentations\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Demonstrate integration of feedback\n- Refine a feedback survey\n- Explain R functions to an audience of your peers\n - Even more confidently!\n\n\n## [Muddiest Point Review]{.gold}\n\n- Recurring topics from most recent MPs:\n\n\\\n\n. . .\n\n- What other topic(s) would you like to review?\n\n## [Create a Google Form]{.pink} {.smaller}\n\n- Consult [Lab \\#5]{.blue} slides for a refresher on making Google Forms\n\n\\\n\n- Make a new Google Form for peer feedback today\n - Remember to add me to the editing side!\n\n\\\n\n- Your form should have (at least):\n - Paragraph about whether people feel you addressed their feedback from [Draft 1]{.pink}\n - Any questions from first survey that you think are still valuable\n\n## [Feedback Reminder]{.orange}\n\nKeep the following pieces of advice in mind:\n\n\\\n\n. . .\n\n1. Be specific and reasonable!\n\n\\\n\n2. Pair critiques with positive comments\n\n\\\n\n3. Be constructively critical\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n\n## [Get Ready]{.pink} {.smaller}\n\n- Find & knit your R Markdown file, then open the product\n\n\\\n\n- Take a deep breath and relax!\n - You got this!\n\n\\\n\n- Let me know when you're ready\n\n## [Revised Function Tutorials]{.orange} {.smaller}\n\n- Something to keep in mind:\n - There is an optional 3^rd^ draft! \n - If you submit draft 3 and do better than draft 2, [it will replace your score]{.gold}\n - So take feedback seriously just in case you're unhappy with your draft 2 points!\n\n\\\n\n. . . \n\n- Anyone want to volunteer to go first?\n - I'll pick order randomly if there are no volunteers\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Homework \\#7\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Muddiest Point \\#8\n- Homework \\#8\n - Note reduced time to complete for this one!\n- GitHub Presence evaluation\n- _Optional_ 3^rd^ draft of Function Tutorials\n\n:::\n::::\n", + "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lab 7 -- Function Tutorials (Draft 2)\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Muddiest Point Review\n- Create New Feedback Surveys\n- Function Tutorials – Draft 2 Presentations\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Demonstrate integration of feedback\n- Refine a feedback survey\n- Explain R functions to an audience of your peers\n - Even more confidently!\n\n\n## [Muddiest Point Review]{.gold}\n\n- Recurring topics from most recent MPs:\n\n\\\n\n. . .\n\n- What other topic(s) would you like to review?\n\n## [Create a Google Form]{.pink} {.smaller}\n\n- Consult [Lab \\#5]{.blue} slides for a refresher on making Google Forms\n\n\\\n\n. . .\n\n- Make a new Google Form for peer feedback today\n - Remember to add me to the editing side!\n\n\\\n\n. . .\n\n- Your form should have (at least):\n - Question about whether people feel you addressed their feedback from [Draft 1]{.blue}\n - Any questions from first survey that you think are still valuable\n\n## [Feedback Reminder]{.orange}\n\nKeep the following pieces of advice in mind:\n\n\\\n\n. . .\n\n1. Be specific and reasonable!\n\n\\\n\n2. Pair critiques with positive comments\n\n\\\n\n3. Be constructively critical\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n\n## [Get Ready]{.pink} {.smaller}\n\n- Find and open your R Markdown file\n - Knit it if you want\n\n\\\n\n. . .\n\n- Take a deep breath and relax!\n - [You got this]{.purple}!\n\n\\\n\n. . .\n\n- Let me know when you're ready\n\n## [Revised Function Tutorials]{.orange} {.smaller}\n\n- Something to keep in mind:\n - There is an optional 3^rd^ draft! \n - If you submit draft 3 and do better than draft 2, [it will replace your score]{.purple}\n - So take feedback seriously just in case you're unhappy with your draft 2 points!\n\n\\\n\n. . . \n\n- Anyone want to volunteer to go first?\n - I'll pick order randomly if there are no volunteers\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Homework \\#7\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Muddiest Point \\#8\n- Homework \\#8\n - Note reduced time to complete for this one!\n- GitHub Presence evaluation\n- _Optional_ 3^rd^ draft of Function Tutorials\n\n:::\n::::\n", "supporting": [], "filters": [ "rmarkdown/pagebreak.lua" diff --git a/_freeze/materials/slides_8a/execute-results/html.json b/_freeze/materials/slides_8a/execute-results/html.json index 3b376b7..4a783f6 100644 --- a/_freeze/materials/slides_8a/execute-results/html.json +++ b/_freeze/materials/slides_8a/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "09754c167a6fc72257653ea0d783d649", + "hash": "af251d9fc6e2a0b341f75f44933813e0", "result": { "engine": "knitr", - "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lecture 8 -- Custom Functions\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Muddiest Point Review\n- Custom Functions\n- Free Work on GitHub Presence\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Describe the process of writing a new function\n- Create a custom function to perform arithmetic\n\n## [Muddiest Point Review]{.gold}\n\n- Recurring topics from most recent MPs:\n\n\\\n\n. . . \n\n- What other topic(s) would you like to review?\n\n## [What is a \"Custom Function\"?]{.orange}\n\n- We've been working with functions throughout the course\n - These functions have come from packages we can install from CRAN\n\n\\\n\n. . .\n\n- However, R _also_ lets you write your own functions!\n\n\\\n\n. . .\n\n- Functions you write are called [custom functions]{.purple}\n\n## [Why Write Functions?]{.orange} {.smaller}\n\n- Rewriting / duplicating anything is _risky_\n - Chance for human error when you're typing\n - Typos make each \"copy\" potentially give different results\n\n\\\n\n. . .\n\n- Instead you could write/use a custom function!\n\n\\\n\n. . .\n\n- Functions are a \"single source of truth\"\n - Something went wrong? Fix the function!\n\n\\\n\n. . .\n\n- Can also share function scripts with friends to make their lives easier\n\n## [Special Syntax Note]{.orange} {.smaller}\n\n- R Uses the following special syntax for creating functions\n - You have to use the `function` function\n\n\\\n\n. . . \n\n- Example syntax:\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|5|8|10|13\"}\n# Define function name\nmultiply <- function(arg1, arg2){\n \n # Multiply the arguments together\n result <- arg1 * arg2\n \n # Return that to the user\n return(result)\n \n} # End function operations\n\n# Once created, it can be used!\nmultiply(arg1 = 10, arg2 = 5)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 50\n```\n\n\n:::\n:::\n\n\n. . . \n\n- Looks kind of like a conditional or loop, right?\n\n## [Process of Function Writing]{.orange} {.smaller}\n\n- My tips for success in custom function writing:\n\n. . .\n\n1. Write a normal script that does what you want your function to do\n\n\\\n\n. . .\n\n2. Identify which part(s) of the script you want the function user to specify\n - These will be the arguments!\n\n\\\n\n. . .\n\n3. Do the special formatting to make R recognize it as a function\n\n\\\n\n. . .\n\n4. Use the function like you would any other!\n\n## [Custom Function Demo]{.gold} {.smaller}\n\n- Let's create a function together for practice!\n\n\\\n\n. . .\n\n- Following my tips:\n 1. Write the script version of the function\n 2. Figure out what the function user should have control over\n 3. Make R consider it a function\n 4. Use our new function!\n\n## [Demo Step 1: Write Script]{.gold} {.smaller}\n\n- Let's make a function that adds two numbers together\n - Artificially simple I know but useful to learn with!\n\n\\\n\n. . .\n\n- We begin by making the script version of our function\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"true\"}\n# Add two numbers together\n4 + 3\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n## [Demo Step 2: Identify Inputs]{.gold} {.smaller}\n\n- Now we identify what the user of our function should be able to control\n\n\\\n\n. . .\n\n- If the function adds two numbers together, the user:\n - Should control the [first number]{.orange}\n - Should control the [second number]{.purple}\n - Should not control the plus sign\n\n\\\n\n. . .\n\n- Let's replace our numbers with objects\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"true\"}\n# Make objects\nx <- 4\ny <- 3\n\n# Add two objects together\nx + y\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n## [Demo Step 3: Special Format]{.gold} {.smaller}\n\n- We can now make this a real function!\n\n\\\n\n. . .\n\n- Define the function using special R syntax\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|5|8|9\"}\n# Define function\nplus <- function(x, y){\n \n # Add arguments together\n result <- x + y\n \n # Return that\n return(result)\n}\n```\n:::\n\n\n## [Demo Step 4: Use Function!]{.gold} {.smaller}\n\n- Now that the function exists, we can use it just like any other function\n\n\\\n\n. . .\n\n- Add 4 and 3 together using our new function\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"true\"}\n# Define function\nplus(x = 4, y = 3)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n## [Write Your Own!]{.pink} {.smaller}\n\n- Write a function that converts pounds (lb) to kilograms (kg)\n - Formula: (pound / 2.2) = kilograms\n\n\\\n\n- Remember my tips:\n 1. Write it like a normal script\n 2. Replace values a user would change with objects\n 3. Use special R syntax\n 4. Then use the function!\n\n\\\n\n- Let me know when you've finished your function\n - Or if you need help!\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Argument Defaults]{.orange} {.smaller}\n\n- You can set argument defaults when you create a function\n\n\\\n\n. . .\n\n- Advantage: user doesn't have to specify all arguments\n\n\\\n\n. . .\n\n- How do we do this?\n - Set it in the `function` _parentheses_!\n\n## [Default Example]{.orange} {.smaller}\n\n- Let's define defaults in our addition function\n\n. . .\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|11\"}\n# Define function\nplus <- function(x = 4, y = 3){\n \n # Add arguments together\n result <- x + y\n \n # Return that\n return(result) }\n```\n:::\n\n\n\\\n\n. . .\n\n- We can then use the function without specifying those arguments\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"false\"}\nplus()\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n\\\n\n. . .\n\n- If the user specifies an argument differently, their input \"wins\"\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"false\"}\nplus(x = 10)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 13\n```\n\n\n:::\n:::\n\n\n## [Make a Default]{.pink} {.smaller}\n\n- Let's revisit your pound to kilogram function\n\n\\\n\n- Set the default pounds to **175**\n\n\\\n\n- What happens if you run your function with _nothing_ in the parentheses?\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Muddiest Point \\#8\n- Homework \\#8\n - Note reduced time to complete for this one!\n- GitHub Presence evaluation\n- _Optional_ [3^rd^ draft]{.pink} of Function Tutorials\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Final deadline for **_all_** work from a summer course\n\n\n:::\n::::\n\n## [Free Work on GitHub]{.gold} {.smaller}\n\n\n- Assignment is due at end of course (_soon!_)\n\n\\\n\nTips for success:\n\n. . .\n\n1. Check out the rubric and make sure you don't miss any \"easy\" points\n\n. . .\n\n2. Don't leave after this slide!\n\n. . .\n\n3. If you have questions, [ask them _now_]{.purple} during this free work time\n", + "markdown": "---\ntitle: \"Intro to Data Science\"\nauthor: \"Lecture 8 -- Custom Functions\"\nengine: knitr\nformat: \n revealjs: \n slide-number: c\n scrollable: false\n code-overflow: wrap\n code-line-numbers: false\n code-copy: hover\n theme: [night, slides.scss]\n reference-location: document\n footer: \"[Programming in R for Biologists](https://njlyon0.github.io/teach_r-for-biologists/)\"\n---\n\n\n## A Guide to Your Process\n\n### [Scheduling]{.blue}\n\n### [Learning Objectives]{.purple}\n\n### [Practice]{.pink}\n\n### [Supporting Information]{.orange}\n\n### [Class Discussion]{.gold}\n\n## [Today's Plan]{.blue}\n\n- Muddiest Point Review\n- Custom Functions\n- Free Work\n\n## [Today's Learning Objectives]{.purple}\n\nAfter today's session you will be able to:\n\n. . .\n\n- Describe the process of writing a new function\n- Create a custom function to perform arithmetic\n\n## [Muddiest Point Review]{.gold}\n\n- Recurring topics from most recent MPs:\n\n\\\n\n. . . \n\n- What other topic(s) would you like to review?\n\n## [What is a \"Custom Function\"?]{.orange} {.smaller}\n\n- We've been working with functions throughout the course\n - These functions have come from packages we can install from CRAN\n\n\\\n\n. . .\n\n- However, R _also_ lets you write your own functions!\n\n\\\n\n. . .\n\n- Functions _you_ write are called [custom functions]{.purple}\n\n## [Why Write Functions?]{.orange} {.smaller}\n\n- Rewriting / duplicating anything is _risky_\n - Chance for human error when you're typing\n - Typos make each \"copy\" potentially give different results\n\n\\\n\n. . .\n\n- Instead you could write/use a custom function!\n\n\\\n\n. . .\n\n- Functions are a \"single source of truth\"\n - Something went wrong? Fix the function!\n\n\\\n\n. . .\n\n- Can also share function scripts with friends to make their lives easier\n\n## [Special Syntax Note]{.orange} {.smaller}\n\n- R Uses the following special syntax for creating functions\n - You have to use the `function` function\n\n\\\n\n. . . \n\n- Example syntax:\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|5|8|10|13\"}\n# Define function name\nmultiply <- function(arg1, arg2){\n \n # Multiply the arguments together\n result <- arg1 * arg2\n \n # Return that to the user\n return(result)\n \n} # End function operations\n\n# Once created, it can be used!\nmultiply(arg1 = 10, arg2 = 5)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 50\n```\n\n\n:::\n:::\n\n\n. . . \n\n- Looks kind of like a conditional or loop, right?\n\n## [Process of Function Writing]{.purple} {.smaller}\n\n- My tips for success in custom function writing:\n\n. . .\n\n1. Write a normal script that does what you want your function to do\n\n\\\n\n. . .\n\n2. Identify which part(s) of the script you want the function user to specify\n - These will be the arguments!\n\n\\\n\n. . .\n\n3. Do the special formatting to make R recognize it as a function\n\n\\\n\n. . .\n\n4. Use the function like you would any other!\n\n## [Custom Function Demo]{.gold} {.smaller}\n\n- Let's create a function together for practice!\n\n\\\n\n. . .\n\n- Following my tips:\n 1. Write the script version of the function\n 2. Figure out what the function user should have control over\n 3. Make R consider it a function\n 4. Use our new function!\n\n## [Demo Step 1: Write Script]{.gold} {.smaller}\n\n- Let's make a function that adds two numbers together\n - Artificially simple, I know, but useful to learn with!\n\n\\\n\n. . .\n\n- We begin by making the script version of our function\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"true\"}\n# Add two numbers together\n4 + 3\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n## [Demo Step 2: Identify Inputs]{.gold} {.smaller}\n\n- Now we identify what the user of our function should be able to control\n\n\\\n\n. . .\n\n- If the function adds two numbers together, the user:\n - Should control the [first number]{.orange}\n - Should control the [second number]{.orange}\n - Should not control the plus sign\n\n\\\n\n. . .\n\n- Let's replace our numbers with objects\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"true\"}\n# Make objects\nx <- 4\ny <- 3\n\n# Add two objects together\nx + y\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n## [Demo Step 3: Special Format]{.gold} {.smaller}\n\n- We can now make this a real function!\n\n\\\n\n. . .\n\n- Define the function using special R syntax\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|5|8|9\"}\n# Define function\nplus <- function(x, y){\n \n # Add arguments together\n result <- x + y\n \n # Return that\n return(result)\n}\n```\n:::\n\n\n## [Demo Step 4: Use Function!]{.gold} {.smaller}\n\n- Now that the function exists, we can use it just like any other function\n\n\\\n\n. . .\n\n- Add 4 and 3 together using our new function\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"true\"}\n# Define function\nplus(x = 4, y = 3)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n## [Write Your Own!]{.pink} {.smaller}\n\n- Write a function that converts pounds (lb) to kilograms (kg)\n - Formula: (pound / 2.2) = kilograms\n\n\\\n\n- Remember my tips:\n 1. Write it like a normal script\n 2. Replace values a user would change with objects\n 3. Use special R syntax\n 4. Then use the function!\n\n\\\n\n- Let me know when you've finished your function\n - Or if you need help!\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Argument Defaults]{.orange} {.smaller}\n\n- You can set argument defaults when you create a function\n\n\\\n\n. . .\n\n- Advantage: user doesn't have to specify all arguments\n\n\\\n\n. . .\n\n- How do we do this?\n - Set it in the `function` _parentheses_!\n\n## [Default Example]{.orange} {.smaller}\n\n- Let's define defaults in our addition function\n\n. . .\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"|2|11\"}\n# Define function\nplus <- function(x = 4, y = 3){\n \n # Add arguments together\n result <- x + y\n \n # Return that\n return(result) }\n```\n:::\n\n\n\\\n\n. . .\n\n- We can then use the function without specifying those arguments\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"false\"}\nplus()\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 7\n```\n\n\n:::\n:::\n\n\n\\\n\n. . .\n\n- If the user specifies an argument differently, their input \"wins\"\n\n\n::: {.cell}\n\n```{.r .cell-code code-line-numbers=\"false\"}\nplus(x = 10)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n[1] 13\n```\n\n\n:::\n:::\n\n\n## [Make a Default]{.pink} {.smaller}\n\n- Let's revisit your pound to kilogram function\n\n\\\n\n. . .\n\n- Set the default pounds to **175**\n\n\\\n\n. . .\n\n- What happens if you run your function with _nothing_ in the parentheses?\n\n## [Temperature Check]{.purple}\n\n#### How are you Feeling?\n\n

\n\"Comic-style\n

\n\n## [Upcoming Due Dates]{.blue} {.smaller}\n\n::::{.columns}\n:::{.column width=\"50%\"}\n\n### Due before lab\n\n#### (By midnight)\n\n- Muddiest Point \\#8\n- Homework \\#8\n - Note reduced time to complete for this one!\n- GitHub Presence evaluation\n- _Optional_ [3^rd^ draft]{.pink} of Function Tutorials\n\n:::\n:::{.column width=\"50%\"}\n\n### Due before lecture\n\n#### (By midnight)\n\n- Final deadline for **_all_** work from a summer course\n\n\n:::\n::::\n\n## [Free Work]{.gold} {.smaller}\n\n\n- Everything is due at the end of course (_soon!_)\n\n\\\n\nTips for success:\n\n. . .\n\n1. Check out rubrics and make sure you don't miss any \"easy\" points\n\n. . .\n\n2. Don't leave after this slide!\n\n. . .\n\n3. If you have questions, **ask them _now_** during this free work time\n", "supporting": [], "filters": [ "rmarkdown/pagebreak.lua" diff --git a/materials/slides_6b.qmd b/materials/slides_6b.qmd index 7e43a1c..8270f27 100644 --- a/materials/slides_6b.qmd +++ b/materials/slides_6b.qmd @@ -103,10 +103,14 @@ fish_graph \ +. . . + - Elements can be modified as desired inside of `theme` function \ +. . . + - Each type of element has a different 'helper function' needed to modify that element - Change text = use `element_text` - Change line = use `element_line` @@ -118,6 +122,8 @@ fish_graph \ +. . . + - Here's an example of the proper syntax ```{.r} # Make a simple scatterplot @@ -137,7 +143,7 @@ ggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) + ## [Gridline Theme Components]{.orange} {.smaller} -- You'll learn theme element names as you work more with `ggplot2` +- You'll learn `theme` argument names as you work more with `ggplot2` \ @@ -179,10 +185,14 @@ ggplot(data = my_df, mapping = aes(x = x_var, y = y_var)) + \ +. . . + - What does this do to your graph? \ +. . . + - What happens if you add these two lines as well (**inside** of the `theme` parentheses!)? - `panel.background = element_blank()` - `axis.line = element_line(color = "black"))` @@ -226,7 +236,7 @@ fish_graph + . . . -- Axis "[title]{.purple}" vs. axis "[text]{.gold}" +- Axis "[title]{.purple}" vs. axis "[text]{.purple}" - `axis.title` = axis label text (given to `labs` function) - `axis.text` = text on axis tick marks @@ -238,15 +248,9 @@ fish_graph + . . . -- Want to modify just X or Y? Add that to the element name! +- Want to modify just X or Y? Add that to the argument name! - E.g., `theme(axis.text.x = element_text(...))` -\ - -. . . - -Increase font size with: `element_text(size = 14)` - ## [Change Text Size]{.pink} {.smaller} ![](images/hex-ggplot2.png){.absolute top=0 left=1100 width="12%" fig-alt="hex logo for ggplot2 R package"} @@ -373,7 +377,7 @@ fish_graph + \ - Two methods (for ggplots): - 1. `ggplot2::facet_...` + 1. `ggplot2::facet_grid()` 2. `cowplot::plot_grid()` ::: @@ -390,11 +394,15 @@ fish_graph + \ -- Facets work just like geometries +. . . + +- Facets work similarly to geometries - You get separate plots for each level of the facet variable \ +. . . + - Facets must _all_ be the same plot type and _have identical axes_ - Sometimes not an issue but good to keep in mind! @@ -482,7 +490,7 @@ ggplot(data = fish_df, aes(x = diameter_cm, y = depth_cm, color = species)) + ## [Plot Grids]{.orange} {.smaller} - Facets work great when all panels are the same - - What about when you have several types of graph? + - What about when you want different graphs in each panel? \ @@ -574,7 +582,7 @@ fish1 <- ggplot(data = fish_df, aes(x = diameter_cm, y = depth_cm, color = speci theme(legend.position = "none") # Make second desired graph -fish2 <- ggplot(data = fish_df, aes(x = species, y = flow_cfs, color = species)) + +fish2 <- ggplot(data = fish_df, aes(x = species, y = flow_cfs, fill = species)) + geom_boxplot() + labs(x = "Species", y = "Flow (cubic feet / second)") + theme_bw() + @@ -611,7 +619,7 @@ cowplot::plot_grid(fish1, fish2, labels = "AUTO", ncol = 2, nrow = 1) ## [GitHub Presence Assignment]{.orange} {.smaller} - This assignment will seriously help in interviews / job apps! - - Shows how good of a data scientist you are + - Demonstrates your data science skills \ @@ -632,21 +640,22 @@ cowplot::plot_grid(fish1, fish2, labels = "AUTO", ncol = 2, nrow = 1) ::::{.columns} :::{.column width="50%"} -### Due before lecture +### Due before lab #### (By midnight) - Homework \#6 +- Muddiest Point \#7 ::: :::{.column width="50%"} -### Due before lab +### Due before lecture #### (By midnight) -- Muddiest Point \#7 -- Submit [Draft 2]{.pink} of Function Tutorials +- Homework \#7 +- Submit [Draft 2]{.blue} of Function Tutorials - Double check rubric to see that you're not leaving any points on the table! - Remember to also submit the Revision Response diff --git a/materials/slides_7a.qmd b/materials/slides_7a.qmd index d7eb7d8..81ebad8 100644 --- a/materials/slides_7a.qmd +++ b/materials/slides_7a.qmd @@ -28,7 +28,6 @@ format: ## [Today's Plan]{.blue} -- Choose [Lab \#8]{.blue} "Bonus Content" - Code Iteration with Loops - Conditionals in Loops - In-Class Free Work @@ -43,22 +42,6 @@ After today's session you will be able to: - Apply loops to small arithmetic problems - Create a loop with a conditional -## [Bonus Content]{.gold} {.smaller} - -- [Lab \#8]{.blue} topic is your choice! - -\ - -- Some options include: - - Biodiversity and ecological communities - - Pairwise comparisons (i.e., what to do after ANOVA says 'at least one group differs') - - Heatmaps - -\ - -- What 1-2 topic(s) seem interesting to you? - - Feel free to propose topics that aren't listed! - ## [Repeated Operations]{.orange} {.smaller} - Often we want to repeat a given operation multiple times @@ -82,7 +65,7 @@ After today's session you will be able to: - Iteration process: 1. Define the operation that you want to repeat - 2. Define what the values to be passed through that operation + 2. Define the values to be passed through that operation 3. Press "go" and sit back while the code does the work! \ @@ -98,7 +81,7 @@ After today's session you will be able to: . . . -- This method is named "for loop" +- This method is called a "[for loop]{.purple}" ## [Loop Syntax]{.orange} {.smaller} @@ -157,24 +140,31 @@ for(k in 1:5){ \ -- Write a for loop that takes the square root of each number - - Function is `sqrt` +- Write a for loop that: + - 1. Takes the square root of each number (see `?sqrt`) + - 2. Prints that result (use `print` function) -- The loop should print the result for each square root in the Console - - Function is `print` +## [Loop Practice (Answer)]{.pink} -\ +- Demonstrating on only a few numbers -. . . +```{r practice-answer-1} +#| echo: true -- Answer: -```{.r} -for(j in 5:25){ - j_root <- sqrt(j) - print(j_root) -} +# Define loop +for(j in 5:8){ + + # Take square root + j_root <- sqrt(x = j) + + # Print that result + print(x = j_root) + +} # Close loop ``` + + ## [More Loop Practice]{.pink} {.smaller} - Write a second loop that: @@ -281,6 +271,8 @@ for(k in 1:5){ \ +. . . + - For the loop with `j` as the index: - Make the `print` step tell you the starting number and its square root @@ -296,7 +288,7 @@ for(j in 5:25){ } ``` -## [More Message Pratice]{.pink} {.smaller} +## [More Message Practice]{.pink} {.smaller} - For the loop with `i` as the index: - Write a message that says each number and what it times 32 is equal to @@ -324,7 +316,7 @@ for(i in 5:25){ - Syntax is similar to logical statements for subsetting - Recall our earlier conversations about conditional operators: - - `==`, `&`, `!=`, `>`, etc. + - `==`, `&`, `>`, etc. \ @@ -332,21 +324,25 @@ for(i in 5:25){ - Two main conditional functions: `if` & `else` -## [Conditional Syntax]{.orange} {.smaller} +## [Conditional Example]{.orange} + +```{r demo-conditional} +#| echo: true -```{.r} # Do something if a condition is met if(2 == 2){ print("Math is mathing!") # If that condition is not met... -} else { print("Math is--somehow--not mathing...") } -``` +} else { + + print("Math is--somehow--not mathing...") -\ +} +``` -. . . +## [Conditional Syntax]{.orange} {.smaller} - `if` wants: - Condition to check in parentheses `(...)` @@ -363,7 +359,7 @@ if(2 == 2){ ## [Multiple `if`s]{.orange} {.smaller} - The example in the previous slide is just for one `if` - - Essentially 'either [this]{.purple} or [that]{.orange}' + - Essentially '[either this or that]{.purple}' \ @@ -390,6 +386,8 @@ else if(x > 0){ \ +. . . + - For example: ```{r ex-loop-3} #| echo: true @@ -443,8 +441,8 @@ for(value in my_vec){ ## [In-Class Free Work]{.gold} {.smaller} -- Draft 2 of Function Tutorials is due tomorrow! - - Presentations during [Lab \#7]{.blue} (this week)! +- Draft 2 of Function Tutorials is due next week! + - Presentations during [Lecture \#8]{.blue} - Requires 'revision response' where you discuss what changes you made due to feedback \ @@ -466,23 +464,25 @@ for(value in my_vec){ ::::{.columns} :::{.column width="50%"} -### Due before lab +### Due before lecture #### (By midnight) -- Muddiest Point \#7 -- Submit [Draft 2]{.pink} of Function Tutorials - - Remember to include _both_ the revised .Rmd _and_ your "revision response" - - Check the rubric for more details +- Homework \#7 +- Submit [Draft 2]{.blue} of Function Tutorials + - Double check rubric to see that you're not leaving any points on the table! + - Remember to also submit the Revision Response ::: :::{.column width="50%"} -### Due before lecture +### Due before lab #### (By midnight) -- Homework \#7 +- Homework \#8 +- Muddiest Point \#8 +- GitHub Presence ::: :::: diff --git a/materials/slides_7b.qmd b/materials/slides_7b.qmd index b6ad4ee..9de179f 100644 --- a/materials/slides_7b.qmd +++ b/materials/slides_7b.qmd @@ -60,13 +60,17 @@ After today's session you will be able to: \ +. . . + - Make a new Google Form for peer feedback today - Remember to add me to the editing side! \ +. . . + - Your form should have (at least): - - Paragraph about whether people feel you addressed their feedback from [Draft 1]{.pink} + - Question about whether people feel you addressed their feedback from [Draft 1]{.blue} - Any questions from first survey that you think are still valuable ## [Feedback Reminder]{.orange} @@ -98,22 +102,27 @@ Keep the following pieces of advice in mind: ## [Get Ready]{.pink} {.smaller} -- Find & knit your R Markdown file, then open the product +- Find and open your R Markdown file + - Knit it if you want \ +. . . + - Take a deep breath and relax! - - You got this! + - [You got this]{.purple}! \ +. . . + - Let me know when you're ready ## [Revised Function Tutorials]{.orange} {.smaller} - Something to keep in mind: - There is an optional 3^rd^ draft! - - If you submit draft 3 and do better than draft 2, [it will replace your score]{.gold} + - If you submit draft 3 and do better than draft 2, [it will replace your score]{.purple} - So take feedback seriously just in case you're unhappy with your draft 2 points! \ diff --git a/materials/slides_8a.qmd b/materials/slides_8a.qmd index 46a7cb9..d398c3c 100644 --- a/materials/slides_8a.qmd +++ b/materials/slides_8a.qmd @@ -30,7 +30,7 @@ format: - Muddiest Point Review - Custom Functions -- Free Work on GitHub Presence +- Free Work ## [Today's Learning Objectives]{.purple} @@ -51,7 +51,7 @@ After today's session you will be able to: - What other topic(s) would you like to review? -## [What is a "Custom Function"?]{.orange} +## [What is a "Custom Function"?]{.orange} {.smaller} - We've been working with functions throughout the course - These functions have come from packages we can install from CRAN @@ -66,7 +66,7 @@ After today's session you will be able to: . . . -- Functions you write are called [custom functions]{.purple} +- Functions _you_ write are called [custom functions]{.purple} ## [Why Write Functions?]{.orange} {.smaller} @@ -126,7 +126,7 @@ multiply(arg1 = 10, arg2 = 5) - Looks kind of like a conditional or loop, right? -## [Process of Function Writing]{.orange} {.smaller} +## [Process of Function Writing]{.purple} {.smaller} - My tips for success in custom function writing: @@ -170,7 +170,7 @@ multiply(arg1 = 10, arg2 = 5) ## [Demo Step 1: Write Script]{.gold} {.smaller} - Let's make a function that adds two numbers together - - Artificially simple I know but useful to learn with! + - Artificially simple, I know, but useful to learn with! \ @@ -196,7 +196,7 @@ multiply(arg1 = 10, arg2 = 5) - If the function adds two numbers together, the user: - Should control the [first number]{.orange} - - Should control the [second number]{.purple} + - Should control the [second number]{.orange} - Should not control the plus sign \ @@ -355,10 +355,14 @@ plus(x = 10) \ +. . . + - Set the default pounds to **175** \ +. . . + - What happens if you run your function with _nothing_ in the parentheses? ## [Temperature Check]{.purple} @@ -397,10 +401,10 @@ plus(x = 10) ::: :::: -## [Free Work on GitHub]{.gold} {.smaller} +## [Free Work]{.gold} {.smaller} -- Assignment is due at end of course (_soon!_) +- Everything is due at the end of course (_soon!_) \ @@ -408,7 +412,7 @@ Tips for success: . . . -1. Check out the rubric and make sure you don't miss any "easy" points +1. Check out rubrics and make sure you don't miss any "easy" points . . . @@ -416,4 +420,4 @@ Tips for success: . . . -3. If you have questions, [ask them _now_]{.purple} during this free work time +3. If you have questions, **ask them _now_** during this free work time