ggExpress

Development of the ggExpress package for quick ggpubr based plotting ala 'Type less, Plot more'. This package is work in progress.

Installation

Install directly from GitHub via devtools with one R command:

# install.packages("devtools"); # If you don't have it.
require("devtools")

# Install dependencies
devtools::install_github(repo = "vertesy/Stringendo", upgrade = F)
devtools::install_github(repo = "vertesy/ReadWriter", upgrade = F)
devtools::install_github(repo = "vertesy/CodeAndRoll2", upgrade = F)
devtools::install_github(repo = "vertesy/MarkdownHelpers", upgrade = F)

# Install MarkdownHelpers
devtools::install_github(repo = "vertesy/ggExpress")

...then simply load the package:

require("ggExpress")

Alternatively, you simply source it from the web. This way function help will not work, and you will have no local copy of the code on your hard drive.

source("https://raw.githubusercontent.com/vertesy/ggExpress/main/R/ggExpress.functions.R")
source("https://raw.githubusercontent.com/vertesy/ggExpress/main/R/ggExpress.auxiliary.functions.R")

Troubleshooting

If you encounter a bug, something doesn't work or unclear, please let me know by raising an issue on ggExpress – Please check if it has been asked.

Usage

require('ggpubr')
require('cowplot')
require('Stringendo')
require('ReadWriter')
require('CodeAndRoll2')
require('MarkdownHelpers')

require('ggExpress')


# Test ------------------

weight <- rnorm(1000); 
qhistogram(weight, vline = 3)
qdensity(weight)

weight3 <- runif (12)
qbarplot(weight3)

xvec <- c("A"=12, "B"=29)
qpie(vec = xvec)


dfx <- as.data.frame(cbind("AA"=rnorm(12), "BB"=rnorm(12)))
qscatter(dfx, suffix = "2D.gaussian")

Output

Saved as pdf by default.

List of Functions in ggExpress.R (19)

Updated: 2024/10/24 15:51

• 1 qhistogram()

Quick Histogram Plotting. This function generates a histogram and saves the plot for a given vector and offers several customizations.

• 2 qdensity()

qdensity. Draw and save a density plot.

• 3 qpie()

qpie. Draw and save a pie chart

• 4 qbarplot()

qbarplot. Draw and save a barplot.

• 5 qbarplot.stacked.from.wide.df()

qbarplot.stacked.from.wide.df - Barplot for tibbles or dataframes. Draw and save a stacked barplot for each row of a dataframe.

• 6 qbarplot.df()

qbarplot.df - Barplot for tibbles or dataframes. Draw and save a barplot for tibbles or dataframes

• 7 qscatter()

qscatter. Draw and save a 2D-scatter plot.

• 8 qboxplot()

qboxplot. Draw and save a boxplot

• 9 qviolin()

qviolin. Draw and save a violin plot

• 10 qstripchart()

qstripchart. Generates a stripchart and saves the plot for a given 2-column dataframe and offers several customizations.

• 11 # qheatmap()

qvenn - Venn Diagram. Draw and save a Venn Diagram using the ggVennDiagram package.

• 12 qqSave()

qqSave. Quick-Save ggplot objects

• 13 q32vA4_grid_plot()

q32vA4_grid_plot. Plot up to 6 panels (3-by-2) on vertically standing A4 page.

• 14 qA4_grid_plot()

qA4_grid_plot. Plot up to 6 panels (3-by-1) on vertically standing A4 page.

• 15 qMarkdownImageLink()

qMarkdownImageLink. Insert Markdown image link to .md report

• 16 qqqAxisLength()

qqqAxisLength. Define Axis Length

• 17 qqqNamed.Vec.2.Tbl()

qqqNamed.Vec.2.Tbl. Covert a named vector to a table.

• 18 qqqTbl.2.Vec()

qqqTbl.2.Vec. Covert a table to a named vector.

• 19 qqqList.2.DF.ggplot()

qqqList.2.DF.ggplot. Convert a list to a tow-column data frame to plot boxplots and violin plots