conf 2023 solutions

R/01_write-installed-packages.R

@@ -2,6 +2,9 @@
 
 # 1. Create a data frame of your installed packages. ---------------------------
 # hint: installed.packages() is the function you need
+library(tidyverse)
+df_pkgs <- installed.packages() |>
+  as_tibble()
 
 # optional: select just some of the variables, such as
 #   * Package
@@ -13,6 +16,7 @@
 # 2. Write this data frame to data/installed-packages.csv. ---------------------
 # hint: readr::write_csv() or write.table()
 # idea: try using here::here() to create the file path
+readr::write_csv(df_pkgs, "data/installed-packages.csv")
 
 # YES overwrite the file that is there now (or delete it first)
 # that is an old result from Jenny

R/02_wrangle-packages.R

@@ -3,6 +3,8 @@
 # 1. Create a data frame by reading from data/installed-packages.csv. ----------
 # hint: readr::read_csv() or read.csv()
 # idea: try using here::here() to create the file path
+library(tidyverse)
+df_pkgs <- readr::read_csv(here::here("data", "installed-packages.csv"))
 
 
 # 2. Filter out the base and recommended packages. -----------------------------
@@ -16,6 +18,10 @@ df_pkgs_addon <- df_pkgs |>
 # 3. Write this new, smaller data frame to data/add-on-packages.csv. -----------
 # hint: readr::write_csv() or write.table()
 # idea: try using here::here() to create the file path
+readr::write_csv(
+  df_pkgs_addon,
+  here::here("data", "add-on-packages.csv")
+)
 
 # 4. Summarize the packages with a frequency table of the version in Built. ----
 # if you use dplyr, code like this will work:
@@ -30,3 +36,7 @@ pkgs_addon_freqtable <- df_pkgs_addon |>
 # YES overwrite the files that are there now
 # they are old output from Jenny
 # they are just examples
+readr::write_csv(
+  pkgs_addon_freqtable,
+  here::here("data", "add-on-packages-freqtable.csv")
+)

R/03_barchart-packages-built.R

@@ -3,6 +3,10 @@
 # 1. Read data/add-on-packages-freqtable.csv into a data frame.-----------------
 # hint: readr::read_csv() or read.csv()
 # idea: try using here::here() to create the file path
+library(tidyverse)
+pkgs_addon_freqtable <- readr::read_csv(
+  here::here("data", "pkgs_addon_freqtable.csv")
+)
 
 # 2. Make a barchart from the frequency table you read in. ---------------------
 # if you use ggplot2, code like this will work:
@@ -15,3 +19,9 @@ ggplot(pkgs_addon_freqtable, aes(x = Built, y = n)) +
 # ----
 # YES overwrite the file that is there now
 # that is old output from Jenny
+ggsave(
+  here::here(
+    "figs",
+    "built-barchart.png"
+  )
+)

README.md

@@ -12,6 +12,6 @@ usethis::use_course("rstats-wtf/wtf-packages-report")
   - `R/02_wrangle-packages.R`
   - `R/03_barchart-packages-built.R`
 * It's OK if you don't finish! We can keep working on this later.
-* If you finish quickly, write an R script to run the whole analysis and, perhaps, another script that does a `make clean` style reset.
+* If you finish quickly, write an R script to run the whole analysis.
 
 Solutions are in the [solutions](https://github.com/rstats-wtf/wtf-packages-report/commit/f9fe5aacc004cf8c79356acdd4638f641f6f8ae7) branch.