Convert scripts that use the
palmerpenguins
package to use the versions of the penguins
and penguins_raw
datasets that are available in R ≥ 4.5.0.
The Palmer Penguins datasets have become very
popular in the R
community, especially in educational contexts, and as an alternative to
the iris
dataset. Now that
penguins
and penguins_raw
are in datasets (R ≥ 4.5.0), they are
more widely available and easier to get started with, especially for new
R users and for use in teaching.
The version of penguins
in datasets (R ≥ 4.5.0) has some shorter
variable names than the palmerpenguins equivalent (e.g. bill_len
instead of bill_length_mm
), for more compact code and data display. It
does mean, however, that for those wanting to use R’s version of
penguins
, it isn’t simply a case of removing the call to
library(palmerpenguins)
or replacing palmerpenguins
with datasets
in data("penguins", package = "palmerpenguins")
and the script still
running. The basepenguins package takes care of converting files by
removing the call to palmerpenguins and making the necessary
conversions to variable names, ensuring that the resulting scripts still
run using the datasets versions of penguins
and penguins_raw
.
basepenguins is available on CRAN:
install.packages("basepenguins")
Or get the development version from R-universe:
install.packages("basepenguins", repos = "https://ellakaye.r-universe.dev")
If a file is ‘convertible’, i.e. it contains library(palmerpenguins)
or data("penguins", package = "palmerpenguins")
(with any style of
quotes), and has one of a specified set of extensions (by default "R"
,
"r"
, "qmd"
, "rmd"
, "Rmd"
), then converting it will do the
following:
library(palmerpenguins)
(or same with palmerpenguins
in
quotes) with the empty string""
data("penguins", package = "palmerpenguins")
(with any style
of quotes) with data("penguins", package = "datasets")
bill_length_mm
-> bill_len
bill_depth_mm
-> bill_dep
flipper_length_mm
-> flipper_len
body_mass_g
-> body_mass
ends_with("_mm")
with
starts_with("flipper_"), starts_with("bill_")
Here, we simply show the ‘before-and-after’ when converting a single
file. For a more extensive guide to using the package, see the Get
Started
vignette, vignette("basepenguins")
.
library(basepenguins)
Get and see an example file provided by the package (adapted from a section of the palmerpenguins Get Started vignette):
penguins_file <- example_files("penguins.R")
cat(readLines(penguins_file), sep = "\n")
#> library(palmerpenguins)
#> library(ggplot2)
#> library(dplyr)
#>
#> # exploring scatterplots
#> penguins |>
#> select(body_mass_g, ends_with("_mm")) |>
#> ggplot(aes(x = flipper_length_mm, y = body_mass_g)) +
#> geom_point(aes(color = species, shape = species), size = 2) +
#> scale_color_manual(values = c("darkorange", "darkorchid", "cyan4"))
Then, convert the file (saving it to a new file) and see the new script:
convert_files(penguins_file, "penguins_converted.R")
#> - ends_with("_mm") replaced on line 7 in penguins_converted.R
#> - Please check the changed output files.
cat(readLines("penguins_converted.R"), sep = "\n")
#>
#> library(ggplot2)
#> library(dplyr)
#>
#> # exploring scatterplots
#> penguins |>
#> select(body_mass, starts_with("flipper_"), starts_with("bill_")) |>
#> ggplot(aes(x = flipper_len, y = body_mass)) +
#> geom_point(aes(color = species, shape = species), size = 2) +
#> scale_color_manual(values = c("darkorange", "darkorchid", "cyan4"))
There are four functions in basepenguins to convert mulitple files.
In each case, the default extensions
(i.e. file types to convert) are
"R"
, "r"
, "qmd"
, "rmd"
, "Rmd"
. If input
contains
non-convertible files (i.e. without the specified extensions or without
reference to palmerpenguins
), they will be copied unmodified to their
new output
location in convert_files()
and convert_dir()
, or left
untouched by convert_files_inplace()
and convert_dir_inplace()
.
| | |
|----|----|
| convert_files(input, output, extensions)
| convert an input
vector of files to new output
locations |
| convert_files_inplace(input, extensions)
| convert a vector of files by overwriting them |
| convert_dir(input, output, extensions)
| convert all files in input
directory into a new output
directory (preserving nesting structure) |
| convert_dir_inplace(input, extensions)
| convert all files in a directory by overwriting them |
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