octopus

The aim of library(octopus) is to make a few of my commonly-used utility functions available to colleagues.

Installation

devtools::install_github("woodwards/octopus")

Functions

• %notin% is a companion for %in%.

• allequal() determines whether two objects are equal.

• as_numeric() is the same as as.numeric but suppressing the warnings.

• autosnake(df) converts dataframe names to snake_case using ensnakeify().

• despace() removes factors, spaces and NA from a dataframe prior to writing.

• dotty(df) quickly visualises dataframe contents using ggplot().

• ensnakeify() converts strings to snake_case. Symbols are converted to underscore, but you can optionally convert them to text, by supplying a named vector such as c("%" = "percent", "/" = "per", "@" = "at", "#" = "hashtag").

• excel_to_date() converts Excel date numbers to Date.

• fillgaps() fills gaps in a vector with the first non-NA value.

• is_loaded() checks whether a package is loaded.

• not_all_na() is a helper function to identify dataframe columns that contain values.

• not_all_same() is a helper function to identify dataframe columns that contain more than one value.

• obj_to_str() converts an object to a string.

• str_to_obj() converts a string (generated using obj_to_str()) back to an object.

• summaree(df) is a modification of summary(df) that gives more information on string columns.

• write_data(df) writes a dataframe to a text file (but only if it has changed).