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supportR
- Support Functions for Wrangling and Visualization
supportR is an R package where the only unifying theme
of the functions is honestly just that I wrote them. That said, there
are some useful functions for data wrangling and
plotting in particular, though functions for other
purposes are also included. I’ll add functions to this package as I
write more orphan scripts that I hope others might find useful so stay
tuned!
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("njlyon0/supportR")summary_table: Calculates summary
values (mean, standard deviation, sample size, and standard error) of a
given response variable within supplied groups
safe_rename: Renames columns in a
given dataframe by matching ‘bad’ names with ‘good’ names
name_vec: Creates a named vector of
specified contents and names. Useful when creating named vectors that
are too long to create manually or when creating the vector and then
naming it is cumbersome
crop_tri: Removes the specified
“triangle” (either upper or lower) of a symmetric data object by
replacing with NAs. Also allows user to specify whether to keep or also
drop the diagonal
array_melt: “Flattens” an array of
dimensions X, Y, and Z into a dataframe containing columns
x, y, z, and value
where value is whatever was stored in the array at those
coordinates
diff_check: Compares two vectors
and identifies what elements are found in the first but not the second
(i.e., lost components) and what elements are found in the
second but not the first (i.e., gained components). Extremely
useful prior to joining two dataframes to compare index
column contents or to ensure no columns are unexpectedly lost during
complex wrangling operations
num_check: Checks column(s) that
should contain only numeric values for any
entries that would be coerced to NA if as.numeric is
run
count: Counts instances of each
unique element in a provided vector
date_check: Checks column(s) that
should contain only date values for any
entries that would be coerced to NA if as.Date is
run
date_format_guess: Checks a column
containing multiple ambiguous date formats and identifies its best guess
for the format each date is in (e.g., ‘dd/mm/yyyy’ versus ‘yyyy/dd/mm’,
etc.)
theme_lyon: Applies a set of
modifications to the non-data aspects of a ggplot2 plot to
ensure a consistent “feel” of a set of plots
ordination: Creates an ordination
for either the nonmetric multidimensional scaling (NMS) dissimilarity
matrix created by vegan::metaMDS or for the principal
coordinates analysis (PCoA) distance matrix returned by
ape::pcoa
github_ls: Lists contents of a
GitHub repository from its URL and returns a simple dataframe containing
the name, type, and file path of identified objects. Supports recursive
listing (i.e., listing of contents of subfolders identified in first
list of contents)
github_tree: Creates a file tree
diagram of a GitHub repository from its URL
tabularize_md: Converts a markdown
file into a table that retains the nested structure of any headings in
the file. Accepts either the file name/path locally or a URL connection
to a markdown file hosted online (e.g., a GitHub repository README.md,
etc.)
rmd_export: Allows knitting of a
specified R Markdown file locally and simultaneously to a specified
Google Drive folder. NOTE: you must authorize R to work
with Google Drive by using googldrive::drive_auth() for
this function to work
More functions are likely to be developed and housed within this package so stay tuned! Feel free to post ideas for new functions as an issue on this repository and I’ll do my best to build them!
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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