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remove inline todos and replace with issue #276

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Dec 2, 2024
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remove inline todos and replace with issue #276

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4 changes: 0 additions & 4 deletions vignettes/cookbook_preparatory_steps.Rmd
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Expand Up @@ -66,7 +66,6 @@ This data set provides information on the production profiles and emission inten
The ABCD data set must be an XLSX file and contains the following columns:

```{r cols_abcd, echo = FALSE, results = 'asis'}
# TODO: should this be in the data dictionary?
cat(paste0("- `", pacta.multi.loanbook:::cols_abcd, "`", collapse = "\n"))
```

Expand All @@ -85,7 +84,6 @@ For sectors with technology level trajectories, the data set provides the TMSR a
The target market share scenario data set must be a CSV file and contains the following columns:

```{r cols_tms_scenario, echo = FALSE, results = 'asis'}
# TODO: should this be in the data dictionary?
cat(paste0("- `", names(pacta.multi.loanbook:::col_types_scenario_tms[["cols"]]), "`", collapse = "\n"))
```

Expand All @@ -94,7 +92,6 @@ For sectors that do not have technology level pathways, PACTA uses the Sectoral
The SDA scenario data set must be a CSV file and contains the following columns:

```{r cols_sda_scenario, echo = FALSE, results = 'asis'}
# TODO: should this be in the data dictionary?
cat(paste0("- `", names(pacta.multi.loanbook:::col_types_scenario_sda[["cols"]]), "`", collapse = "\n"))
```

Expand All @@ -116,7 +113,6 @@ The raw loan books are the financial data sets that you would like to analyze. T
The raw loan books must be prepared as CSV files and contain at a minimum the following columns:

```{r cols_raw_loanbooks, echo = FALSE, results = 'asis'}
# TODO: should this be in the data dictionary?
cat(paste0("- `", names(pacta.multi.loanbook:::col_types_raw[["cols"]]), "`", collapse = "\n"))
```

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