From d1ec77d5163efab957afc8ee89fed106780fa6d4 Mon Sep 17 00:00:00 2001 From: JMHumphreys Date: Sat, 10 Aug 2024 17:42:07 -0500 Subject: [PATCH] update time_tree --- R/plot_time_tree.R | 2 +- docs/search.json | 23 ++++- docs/site_libs/bootstrap/bootstrap.min.css | 2 +- docs/time_tree.html | 83 ++++++++---------- .../figure-html/unnamed-chunk-10-1.png | Bin 72972 -> 73189 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 71432 -> 71582 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 54839 -> 30941 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 176565 -> 176159 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 31526 -> 31815 bytes time_tree.qmd | 10 +-- 10 files changed, 67 insertions(+), 53 deletions(-) diff --git a/R/plot_time_tree.R b/R/plot_time_tree.R index b18e083..58ee0d9 100644 --- a/R/plot_time_tree.R +++ b/R/plot_time_tree.R @@ -49,7 +49,7 @@ plot_time_tree <- function(tree, stats, legend_pos = c(0.3, 0.7)) { legend.key.width = unit(3,"line"), legend.text = element_text(size=20, face="bold"), legend.title = element_text(size=25, face="bold"), - plot.margin = unit(c(1,8,1,1), "mm")) + plot.margin = unit(c(1,8,1,0.1), "mm")) return(p) } \ No newline at end of file diff --git a/docs/search.json b/docs/search.json index 47e3ab4..3f921ce 100644 --- a/docs/search.json +++ b/docs/search.json @@ -88,7 +88,7 @@ "href": "time_tree.html#time-calibrated-phylogenies", "title": "Time Calibrated Phylogenies", "section": "Time Calibrated Phylogenies", - "text": "Time Calibrated Phylogenies\n\nSerotype A\nCheck tree model statistics the get_tracer_stats() function calculates similar summary statistics as the Tracer software typically used with BEAST.\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/a_1/As_rev.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype A Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype A Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-5625.950\n-5624.828\n-5647.862\n-5610.792\n1380\n prior\n-76.426\n-75.418\n-96.610\n-62.129\n1155\n likelihood\n-5549.524\n-5549.135\n-5560.279\n-5540.950\n23420\n treeModel.rootHeight\n15.255\n13.950\n9.710\n28.080\n816\n age.root.\n1997.688\n1998.992\n1984.863\n2003.232\n816\n treeLength\n65.001\n58.191\n37.203\n130.643\n809\n tmrca.fmd_a_rev.\n15.255\n13.950\n9.710\n28.080\n816\n clock.rate\n0.005\n0.005\n0.002\n0.007\n1395\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_A.tree <- read.nexus(here(\"local/beast/a_1/As.mcc.tre\"))\n\nplot_time_tree(sero_A.tree, check_stats)\n\n\n\n\n\nFMDV Effective Population Size\nTrees were run using several different clock and prior choices, all showed flat-line Ne. The one here was the simplest, coalescent with contant population size.\n\n\nHide code\nphylodynamic_process(sero_A.tree, check_stats, x_limits = c(\"2009-01-01\", \"2017-01-01\"))\n\n\n\n\n\n\n\nSerotype Asia1\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/asia1_1/Asia1s.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype Asia1 Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype Asia1 Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-6003.184\n-6002.404\n-6033.565\n-5977.100\n1045\n prior\n-182.388\n-181.940\n-213.118\n-154.307\n714\n likelihood\n-5820.797\n-5820.458\n-5838.825\n-5805.294\n2037\n treeModel.rootHeight\n11.511\n11.411\n9.980\n13.638\n969\n age.root.\n2005.650\n2005.751\n2003.524\n2007.182\n969\n treeLength\n51.824\n50.974\n39.204\n69.562\n716\n clock.rate\n0.004\n0.004\n0.003\n0.006\n586\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_Asia1.tree <- read.nexus(here(\"local/beast/asia1_1/asia1.mcc.tre\")) \nplot_time_tree(sero_Asia1.tree, check_stats, legend_pos = c(0.2, 0.5))\n\n\n\n\n\nFMDV Effective Population Size\nFlat Ne, like the other serotypes\n\n\nHide code\nphylodynamic_process(sero_Asia1.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))\n\n\n\n *** inla.core.safe: rerun to try to solve negative eigenvalue(s) in the Hessian \n\n\n\n\n\n\n\nSerotype O\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/o_1/sero_0.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype O Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype O Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-5209.488\n-5208.762\n-5226.241\n-5197.209\n3568\n prior\n-75.522\n-74.950\n-89.019\n-65.512\n2568\n likelihood\n-5133.966\n-5133.702\n-5145.086\n-5124.659\n8002\n treeModel.rootHeight\n15.158\n14.650\n11.776\n21.363\n2294\n age.root.\n2000.962\n2001.470\n1994.757\n2004.345\n2294\n treeLength\n51.497\n49.341\n38.452\n77.114\n2042\n clock.rate\n0.004\n0.004\n0.003\n0.005\n2758\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_O.tree <- read.nexus(here(\"local/beast/o_1/Os.mcc.tre\"))\n\nplot_time_tree(sero_O.tree, check_stats, legend_pos = c(0.2, 0.5))\n\n\n\n\n\nFMDV Effective Population Size\nFlat Ne, like the other serotypes\n\n\nHide code\nphylodynamic_process(sero_O.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))" + "text": "Time Calibrated Phylogenies\n\nSerotype A\nCheck tree model statistics the get_tracer_stats() function calculates similar summary statistics as the Tracer software typically used with BEAST.\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/a_1/As_rev.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype A Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype A Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-5625.950\n-5624.828\n-5647.862\n-5610.792\n1380\n prior\n-76.426\n-75.418\n-96.610\n-62.129\n1155\n likelihood\n-5549.524\n-5549.135\n-5560.279\n-5540.950\n23420\n treeModel.rootHeight\n15.255\n13.950\n9.710\n28.080\n816\n age.root.\n1997.688\n1998.992\n1984.863\n2003.232\n816\n treeLength\n65.001\n58.191\n37.203\n130.643\n809\n tmrca.fmd_a_rev.\n15.255\n13.950\n9.710\n28.080\n816\n clock.rate\n0.005\n0.005\n0.002\n0.007\n1395\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_A.tree <- read.nexus(here(\"local/beast/a_1/As.mcc.tre\"))\n\nplot_time_tree(sero_A.tree, check_stats)\n\n\n\n\n\nFMDV Effective Population Size\nTrees were run using several different clock and prior choices, all showed flat-line Ne. The one here was the simplest, coalescent with contant population size.\n\n\nHide code\nphylodynamic_process(sero_A.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))\n\n\n\n\n\n\n\nSerotype Asia1\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/asia1_1/Asia1s.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype Asia1 Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype Asia1 Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-6003.184\n-6002.404\n-6033.565\n-5977.100\n1045\n prior\n-182.388\n-181.940\n-213.118\n-154.307\n714\n likelihood\n-5820.797\n-5820.458\n-5838.825\n-5805.294\n2037\n treeModel.rootHeight\n11.511\n11.411\n9.980\n13.638\n969\n age.root.\n2005.650\n2005.751\n2003.524\n2007.182\n969\n treeLength\n51.824\n50.974\n39.204\n69.562\n716\n clock.rate\n0.004\n0.004\n0.003\n0.006\n586\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_Asia1.tree <- read.nexus(here(\"local/beast/asia1_1/asia1.mcc.tre\")) \nplot_time_tree(sero_Asia1.tree, check_stats, legend_pos = c(0.2, 0.5))\n\n\n\n\n\nFMDV Effective Population Size\nFlat Ne, like the other serotypes\n\n\nHide code\nphylodynamic_process(sero_Asia1.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))\n\n\n\n\n\n\n\nSerotype O\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/o_1/sero_0.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype O Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype O Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-5209.488\n-5208.762\n-5226.241\n-5197.209\n3568\n prior\n-75.522\n-74.950\n-89.019\n-65.512\n2568\n likelihood\n-5133.966\n-5133.702\n-5145.086\n-5124.659\n8002\n treeModel.rootHeight\n15.158\n14.650\n11.776\n21.363\n2294\n age.root.\n2000.962\n2001.470\n1994.757\n2004.345\n2294\n treeLength\n51.497\n49.341\n38.452\n77.114\n2042\n clock.rate\n0.004\n0.004\n0.003\n0.005\n2758\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_O.tree <- read.nexus(here(\"local/beast/o_1/Os.mcc.tre\"))\n\nplot_time_tree(sero_O.tree, check_stats, legend_pos = c(0.2, 0.5))\n\n\n\n\n\nFMDV Effective Population Size\nFlat Ne, like the other serotypes\n\n\nHide code\nphylodynamic_process(sero_O.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))" }, { "objectID": "index.html", @@ -96,5 +96,26 @@ "title": "Overview", "section": "", "text": "Under Active Development\n\n\n\nThe tabs across the top of this webpage can be navigated to view various exploratory analyses examining FMDV co-infection and recombination dynamics in water buffalo. The code, data, and analyses on this site have not been verified or validated and are subject to change." + }, + { + "objectID": "time_tree.html#serotype-a", + "href": "time_tree.html#serotype-a", + "title": "Time Calibrated Phylogenies", + "section": "Serotype A", + "text": "Serotype A\nCheck tree model statistics the get_tracer_stats() function calculates similar summary statistics as the Tracer software typically used with BEAST.\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/a_1/As_rev.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype A Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype A Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-5625.950\n-5624.828\n-5647.862\n-5610.792\n1380\n prior\n-76.426\n-75.418\n-96.610\n-62.129\n1155\n likelihood\n-5549.524\n-5549.135\n-5560.279\n-5540.950\n23420\n treeModel.rootHeight\n15.255\n13.950\n9.710\n28.080\n816\n age.root.\n1997.688\n1998.992\n1984.863\n2003.232\n816\n treeLength\n65.001\n58.191\n37.203\n130.643\n809\n tmrca.fmd_a_rev.\n15.255\n13.950\n9.710\n28.080\n816\n clock.rate\n0.005\n0.005\n0.002\n0.007\n1395\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_A.tree <- read.nexus(here(\"local/beast/a_1/As.mcc.tre\"))\n\nplot_time_tree(sero_A.tree, check_stats)\n\n\n\n\n\nFMDV Effective Population Size\nTrees were run using several different clock and prior choices, all showed flat-line Ne. The one here was the simplest, coalescent with contant population size.\n\n\nHide code\nphylodynamic_process(sero_A.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))" + }, + { + "objectID": "time_tree.html#serotype-asia1", + "href": "time_tree.html#serotype-asia1", + "title": "Time Calibrated Phylogenies", + "section": "Serotype Asia1", + "text": "Serotype Asia1\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/asia1_1/Asia1s.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype Asia1 Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype Asia1 Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-6003.184\n-6002.404\n-6033.565\n-5977.100\n1045\n prior\n-182.388\n-181.940\n-213.118\n-154.307\n714\n likelihood\n-5820.797\n-5820.458\n-5838.825\n-5805.294\n2037\n treeModel.rootHeight\n11.511\n11.411\n9.980\n13.638\n969\n age.root.\n2005.650\n2005.751\n2003.524\n2007.182\n969\n treeLength\n51.824\n50.974\n39.204\n69.562\n716\n clock.rate\n0.004\n0.004\n0.003\n0.006\n586\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_Asia1.tree <- read.nexus(here(\"local/beast/asia1_1/asia1.mcc.tre\")) \nplot_time_tree(sero_Asia1.tree, check_stats, legend_pos = c(0.2, 0.5))\n\n\n\n\n\nFMDV Effective Population Size\nFlat Ne, like the other serotypes\n\n\nHide code\nphylodynamic_process(sero_Asia1.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))" + }, + { + "objectID": "time_tree.html#serotype-o", + "href": "time_tree.html#serotype-o", + "title": "Time Calibrated Phylogenies", + "section": "Serotype O", + "text": "Serotype O\n\n\nHide code\ncheck_stats <- get_tracer_stats(here(\"local/beast/o_1/sero_0.log\"))\n\nkeep_stats <- c(\"joint\", \"prior\", \"likelihood\", \"treeModel.rootHeight\", \"age.root.\",\n \"treeLength\", \"tmrca.fmd_a_rev.\", \"clock.rate\")\n\ncheck_stats %>%\n filter(Parameter %in% keep_stats) %>%\n gt() %>%\n tab_header(\n title = md(\"Serotype O Stats\")) %>%\n cols_width(starts_with(\"Parameter\") ~ px(200),\n starts_with(\"label\") ~ px(60),\n everything() ~ px(95)) %>%\n tab_options(table.font.size = \"small\",\n row_group.font.size = \"small\",\n stub.font.size = \"small\",\n column_labels.font.size = \"medium\",\n heading.title.font.size = \"large\",\n data_row.padding = px(2),\n heading.title.font.weight = \"bold\",\n column_labels.font.weight = \"bold\") %>%\n opt_stylize(style = 6, color = 'gray')\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n Serotype O Stats\n\n \n \n \n Parameter\n Mean\n Median\n Q_0.025\n Q_0.975\n ESS\n \n \n \n joint\n-5209.488\n-5208.762\n-5226.241\n-5197.209\n3568\n prior\n-75.522\n-74.950\n-89.019\n-65.512\n2568\n likelihood\n-5133.966\n-5133.702\n-5145.086\n-5124.659\n8002\n treeModel.rootHeight\n15.158\n14.650\n11.776\n21.363\n2294\n age.root.\n2000.962\n2001.470\n1994.757\n2004.345\n2294\n treeLength\n51.497\n49.341\n38.452\n77.114\n2042\n clock.rate\n0.004\n0.004\n0.003\n0.005\n2758\n \n \n \n\n\n\n\n\nLoad MCC tree\n\n\nHide code\nsero_O.tree <- read.nexus(here(\"local/beast/o_1/Os.mcc.tre\"))\n\nplot_time_tree(sero_O.tree, check_stats, legend_pos = c(0.2, 0.5))\n\n\n\n\n\nFMDV Effective Population Size\nFlat Ne, like the other serotypes\n\n\nHide code\nphylodynamic_process(sero_O.tree, check_stats, x_limits = c(\"2011-01-01\", \"2013-01-01\"))" } ] \ No newline at end of file diff --git a/docs/site_libs/bootstrap/bootstrap.min.css b/docs/site_libs/bootstrap/bootstrap.min.css index 0430e9b..47ec88b 100644 --- a/docs/site_libs/bootstrap/bootstrap.min.css +++ b/docs/site_libs/bootstrap/bootstrap.min.css @@ -7,4 +7,4 @@ * * ansi colors from IPython notebook's * -*/.ansi-black-fg{color:#3e424d}.ansi-black-bg{background-color:#3e424d}.ansi-black-intense-fg{color:#282c36}.ansi-black-intense-bg{background-color:#282c36}.ansi-red-fg{color:#e75c58}.ansi-red-bg{background-color:#e75c58}.ansi-red-intense-fg{color:#b22b31}.ansi-red-intense-bg{background-color:#b22b31}.ansi-green-fg{color:#00a250}.ansi-green-bg{background-color:#00a250}.ansi-green-intense-fg{color:#007427}.ansi-green-intense-bg{background-color:#007427}.ansi-yellow-fg{color:#ddb62b}.ansi-yellow-bg{background-color:#ddb62b}.ansi-yellow-intense-fg{color:#b27d12}.ansi-yellow-intense-bg{background-color:#b27d12}.ansi-blue-fg{color:#208ffb}.ansi-blue-bg{background-color:#208ffb}.ansi-blue-intense-fg{color:#0065ca}.ansi-blue-intense-bg{background-color:#0065ca}.ansi-magenta-fg{color:#d160c4}.ansi-magenta-bg{background-color:#d160c4}.ansi-magenta-intense-fg{color:#a03196}.ansi-magenta-intense-bg{background-color:#a03196}.ansi-cyan-fg{color:#60c6c8}.ansi-cyan-bg{background-color:#60c6c8}.ansi-cyan-intense-fg{color:#258f8f}.ansi-cyan-intense-bg{background-color:#258f8f}.ansi-white-fg{color:#c5c1b4}.ansi-white-bg{background-color:#c5c1b4}.ansi-white-intense-fg{color:#a1a6b2}.ansi-white-intense-bg{background-color:#a1a6b2}.ansi-default-inverse-fg{color:#fff}.ansi-default-inverse-bg{background-color:#000}.ansi-bold{font-weight:bold}.ansi-underline{text-decoration:underline}:root{--quarto-body-bg: #fff;--quarto-body-color: #55595c;--quarto-text-muted: #6c757d;--quarto-border-color: rgba(0, 0, 0, 0.05);--quarto-border-width: 1px;--quarto-border-radius: 0.25rem}table.gt_table{color:var(--quarto-body-color);font-size:1em;width:100%;background-color:transparent;border-top-width:inherit;border-bottom-width:inherit;border-color:var(--quarto-border-color)}table.gt_table th.gt_column_spanner_outer{color:var(--quarto-body-color);background-color:transparent;border-top-width:inherit;border-bottom-width:inherit;border-color:var(--quarto-border-color)}table.gt_table th.gt_col_heading{color:var(--quarto-body-color);font-weight:bold;background-color:transparent}table.gt_table thead.gt_col_headings{border-bottom:1px solid currentColor;border-top-width:inherit;border-top-color:var(--quarto-border-color)}table.gt_table thead.gt_col_headings:not(:first-child){border-top-width:1px;border-top-color:var(--quarto-border-color)}table.gt_table td.gt_row{border-bottom-width:1px;border-bottom-color:var(--quarto-border-color);border-top-width:0px}table.gt_table tbody.gt_table_body{border-top-width:1px;border-bottom-width:1px;border-bottom-color:var(--quarto-border-color);border-top-color:currentColor}div.columns{display:initial;gap:initial}div.column{display:inline-block;overflow-x:initial;vertical-align:top;width:50%}@media print{:root{font-size:11pt}#quarto-sidebar,#TOC,.nav-page{display:none}.page-columns .content{grid-column-start:page-start}.fixed-top{position:relative}.panel-caption,.figure-caption,figcaption{color:#666}}.code-copy-button{position:absolute;top:0;right:0;border:0;margin-top:5px;margin-right:5px;background-color:transparent}.code-copy-button:focus{outline:none}.code-copy-button-tooltip{font-size:.75em}pre.sourceCode:hover>.code-copy-button>.bi::before{display:inline-block;height:1rem;width:1rem;content:"";vertical-align:-0.125em;background-image:url('data:image/svg+xml,');background-repeat:no-repeat;background-size:1rem 1rem}pre.sourceCode:hover>.code-copy-button-checked>.bi::before{background-image:url('data:image/svg+xml,')}pre.sourceCode:hover>.code-copy-button:hover>.bi::before{background-image:url('data:image/svg+xml,')}pre.sourceCode:hover>.code-copy-button-checked:hover>.bi::before{background-image:url('data:image/svg+xml,')}main ol ol,main ul ul,main ol ul,main ul 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[page-start-inset] minmax(0px, 145px) [body-start-outset] 35px [body-start] 1.5em [body-content-start] minmax(450px, calc(750px - 3em)) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body:not(.floating):not(.docked) .page-columns.toc-left .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start] 35px [page-start-inset] minmax(0px, 145px) [body-start-outset] 35px [body-start] 1.5em [body-content-start] minmax(450px, calc(750px - 3em)) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.floating .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(75px, 150px) 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[body-content-start] minmax(500px, calc(800px - 3em)) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.docked.slimcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 35px [body-end-outset] minmax(75px, 145px) [page-end-inset] 35px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.docked.listing .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(25px, 50px) [page-end-inset] 50px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.floating.slimcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 35px [body-end-outset] minmax(75px, 145px) [page-end-inset] 35px [page-end] 4fr [screen-end-inset] 1.5em [screen-end]}body.floating.listing .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(75px, 150px) [page-end-inset] 25px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}}@media(max-width: 767.98px){body .page-columns,body.fullcontent:not(.floating):not(.docked) .page-columns,body.slimcontent:not(.floating):not(.docked) .page-columns,body.docked .page-columns,body.docked.slimcontent .page-columns,body.docked.fullcontent .page-columns,body.floating .page-columns,body.floating.slimcontent .page-columns,body.floating.fullcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(0px, 1fr) [body-content-end body-end body-end-outset page-end-inset page-end screen-end-inset] 1.5em [screen-end]}body:not(.floating):not(.docked) .page-columns.toc-left{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(0px, 1fr) [body-content-end body-end body-end-outset page-end-inset page-end screen-end-inset] 1.5em [screen-end]}body:not(.floating):not(.docked) .page-columns.toc-left .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start 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[screen-end-inset] 1.5em [screen-end]}body.slimcontent:not(.floating):not(.docked) .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset] 5fr [body-start] 1.5em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 35px [body-end-outset] minmax(75px, 145px) [page-end-inset] 35px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.listing:not(.floating):not(.docked) .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset] 5fr [body-start] 1.5em [body-content-start] minmax(500px, calc(1200px - 3em)) [body-content-end body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body:not(.floating):not(.docked) .page-columns.toc-left{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start] 35px [page-start-inset] minmax(0px, 145px) [body-start-outset] 35px [body-start] 1.5em [body-content-start] minmax(450px, calc(750px - 3em)) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body:not(.floating):not(.docked) .page-columns.toc-left .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start] 35px [page-start-inset] minmax(0px, 145px) [body-start-outset] 35px [body-start] 1.5em [body-content-start] minmax(450px, calc(750px - 3em)) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.floating .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(75px, 150px) [page-end-inset] 25px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.docked .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(25px, 50px) [page-end-inset] 50px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.docked.fullcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(500px, calc( 1000px - 3em )) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.floating.fullcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(800px - 3em)) [body-content-end] 1.5em [body-end body-end-outset page-end-inset page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.docked.slimcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 35px [body-end-outset] minmax(75px, 145px) [page-end-inset] 35px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.docked.listing .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset page-start page-start-inset body-start-outset body-start body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(25px, 50px) [page-end-inset] 50px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}body.floating.slimcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 35px [body-end-outset] minmax(75px, 145px) [page-end-inset] 35px [page-end] 4fr [screen-end-inset] 1.5em [screen-end]}body.floating.listing .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc(750px - 3em)) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(75px, 150px) [page-end-inset] 25px [page-end] 5fr [screen-end-inset] 1.5em [screen-end]}}@media(max-width: 767.98px){body .page-columns,body.fullcontent:not(.floating):not(.docked) .page-columns,body.slimcontent:not(.floating):not(.docked) .page-columns,body.docked .page-columns,body.docked.slimcontent 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body-content-start] minmax(0px, 1fr) [body-content-end body-end body-end-outset page-end-inset page-end screen-end-inset] 1.5em [screen-end]}nav[role=doc-toc]{display:none}}body,.page-row-navigation{grid-template-rows:[page-top] max-content [contents-top] max-content [contents-bottom] max-content [page-bottom]}.page-rows-contents{grid-template-rows:[content-top] minmax(max-content, 1fr) [content-bottom] minmax(60px, max-content) [page-bottom]}.page-full{grid-column:screen-start/screen-end !important}.page-columns>*{grid-column:body-content-start/body-content-end}.page-columns.column-page>*{grid-column:page-start/page-end}.page-columns.column-page-left>*{grid-column:page-start/body-content-end}.page-columns.column-page-right>*{grid-column:body-content-start/page-end}.page-rows{grid-auto-rows:auto}.header{grid-column:screen-start/screen-end;grid-row:page-top/contents-top}#quarto-content{padding:0;grid-column:screen-start/screen-end;grid-row:contents-top/contents-bottom}body.floating 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Page Contents

@@ -228,10 +230,8 @@

Time Calibrated Phylogenies

-
-

Time Calibrated Phylogenies

-
-

Serotype A

+
+

Serotype A

Check tree model statistics the get_tracer_stats() function calculates similar summary statistics as the Tracer software typically used with BEAST.

@@ -262,7 +262,7 @@

Serotype A

-
+
@@ -362,15 +362,15 @@

Serotype A

Hide code -
phylodynamic_process(sero_A.tree, check_stats, x_limits = c("2009-01-01", "2017-01-01"))
+
phylodynamic_process(sero_A.tree, check_stats, x_limits = c("2011-01-01", "2013-01-01"))

-
-

Serotype Asia1

+
+

Serotype Asia1

Hide code @@ -400,7 +400,7 @@

Serotype Asia1

-
+
@@ -495,47 +495,43 @@

Serotype Asia1

Hide code
phylodynamic_process(sero_Asia1.tree, check_stats, x_limits = c("2011-01-01", "2013-01-01"))
-
-

- *** inla.core.safe:  rerun to try to solve negative eigenvalue(s) in the Hessian
-

-
-

Serotype O

+
+

Serotype O

Hide code -
check_stats <- get_tracer_stats(here("local/beast/o_1/sero_0.log"))
-
-keep_stats <- c("joint", "prior", "likelihood", "treeModel.rootHeight", "age.root.",
-                "treeLength", "tmrca.fmd_a_rev.", "clock.rate")
-
-check_stats %>%
-  filter(Parameter %in% keep_stats) %>%
-  gt() %>%
-  tab_header(
-    title = md("Serotype O Stats")) %>%
-  cols_width(starts_with("Parameter") ~ px(200),
-             starts_with("label") ~ px(60),
-             everything() ~ px(95)) %>%
-  tab_options(table.font.size = "small",
-              row_group.font.size = "small",
-              stub.font.size = "small",
-              column_labels.font.size = "medium",
-              heading.title.font.size = "large",
-              data_row.padding = px(2),
-              heading.title.font.weight = "bold",
-              column_labels.font.weight = "bold") %>%
-  opt_stylize(style = 6, color = 'gray')
+
check_stats <- get_tracer_stats(here("local/beast/o_1/sero_0.log"))
+
+keep_stats <- c("joint", "prior", "likelihood", "treeModel.rootHeight", "age.root.",
+                "treeLength", "tmrca.fmd_a_rev.", "clock.rate")
+
+check_stats %>%
+  filter(Parameter %in% keep_stats) %>%
+  gt() %>%
+  tab_header(
+    title = md("Serotype O Stats")) %>%
+  cols_width(starts_with("Parameter") ~ px(200),
+             starts_with("label") ~ px(60),
+             everything() ~ px(95)) %>%
+  tab_options(table.font.size = "small",
+              row_group.font.size = "small",
+              stub.font.size = "small",
+              column_labels.font.size = "medium",
+              heading.title.font.size = "large",
+              data_row.padding = px(2),
+              heading.title.font.weight = "bold",
+              column_labels.font.weight = "bold") %>%
+  opt_stylize(style = 6, color = 'gray')
-
+
@@ -616,9 +612,9 @@

Serotype O

Hide code -
sero_O.tree <- read.nexus(here("local/beast/o_1/Os.mcc.tre"))
-
-plot_time_tree(sero_O.tree, check_stats, legend_pos = c(0.2, 0.5))
+
sero_O.tree <- read.nexus(here("local/beast/o_1/Os.mcc.tre"))
+
+plot_time_tree(sero_O.tree, check_stats, legend_pos = c(0.2, 0.5))

@@ -629,7 +625,7 @@

Serotype O

Hide code -
phylodynamic_process(sero_O.tree, check_stats, x_limits = c("2011-01-01", "2013-01-01"))
+
phylodynamic_process(sero_O.tree, check_stats, x_limits = c("2011-01-01", "2013-01-01"))

@@ -637,7 +633,6 @@

Serotype O

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z|NZTA7GM$Le{r?i|J&uD|E}oY)&!RlrvBSMVgFCp@%|r292s#s>QeykY9kS39O%j= L?TdM;7JmN$c+woM diff --git a/time_tree.qmd b/time_tree.qmd index 4efdc98..ce7de29 100644 --- a/time_tree.qmd +++ b/time_tree.qmd @@ -68,10 +68,8 @@ source_dir(here("R")) ``` -## Time Calibrated Phylogenies - -### Serotype A +## Serotype A Check tree model statistics the *get_tracer_stats()* function calculates similar summary statistics as the Tracer software typically used with BEAST. ```{r message=FALSE, warning=FALSE} check_stats <- get_tracer_stats(here("local/beast/a_1/As_rev.log")) @@ -109,11 +107,11 @@ plot_time_tree(sero_A.tree, check_stats) FMDV Effective Population Size Trees were run using several different clock and prior choices, all showed flat-line Ne. The one here was the simplest, coalescent with contant population size. ```{r fig.width=8, fig.height=6, warning=FALSE, message=FALSE} -phylodynamic_process(sero_A.tree, check_stats, x_limits = c("2009-01-01", "2017-01-01")) +phylodynamic_process(sero_A.tree, check_stats, x_limits = c("2011-01-01", "2013-01-01")) ``` -### Serotype Asia1 +## Serotype Asia1 ```{r} check_stats <- get_tracer_stats(here("local/beast/asia1_1/Asia1s.log")) @@ -152,7 +150,7 @@ Flat Ne, like the other serotypes phylodynamic_process(sero_Asia1.tree, check_stats, x_limits = c("2011-01-01", "2013-01-01")) ``` -### Serotype O +## Serotype O ```{r} check_stats <- get_tracer_stats(here("local/beast/o_1/sero_0.log"))