In cj-holmes/holmesr: A collection of miscellaneous helper functions

knitr::opts_chunk$set(
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holmesr

This code is designed and shared for my own personal use and will always be a work in progress, with bugs, issues and outright errors! Use at your own risk

The goal of holmesr is to collate (and make portable) a miscellany of my personal R functions.

Some of the more useful functions

• Visualisation
• dists()
• numeric_dists()
• categoric_dists()
• rotate_x_labs()
• geom_origin()
• move_legend()

• theme_holmes()

• Data wrangling

• remove_outliers()
• print_all()

Install package, add it to the search path and set the plotting theme

remotes::install_github('cj-holmes/holmesr')

library(holmesr)

# Set the holmesr plotting theme
ggplot2::theme_set(theme_holmes())

Visualising dataframe distributions

Probably the most useful function is dists() which returns a plot of the distributions of numeric and categorical columns in a dataframe.

dists(ggplot2::diamonds)

Ther are several arguments for customisation, including remove_outliers to remove outliers before numerical distirutions are computed, and cols for selecting the columns to include/not include with tidyselect semantics. For instance, when a categorical column contains unique values for every row (the dplyr::starwars name column) it is useful to not plot its distribution (below)...

dists(dplyr::starwars, remove_outliers = TRUE, cols=c(-name, -sex))

Arguments passed to ... are passed on to patchwork::wrap_plots and control the layout of the visualisation (ncol, nrow, widths, heights, etc...)

cj-holmes/holmesr documentation built on Sept. 20, 2020, 12:44 a.m.