sm_common_axis: A function to plot panels with common x- and y- axes

In smin95/sesplot: Creating Standalone and Composite Plots in 'ggplot2' for Publications

A function to plot panels with common x- and y- axes

Description

This function is used to create a composite figure.

Usage

sm_common_axis(location, hmargin = 1, wmargin = 1)

Arguments

location	Location of the panel. ''topleft'': removes x-axis title, x-axis ticklabel, y-axis title. ''topright'': removes x-axis title, x-axis ticklabel, y-axis title, y-axis ticklabel. ''bottomleft'': removes x-axis title, y-axis title. ''bottomright'': removes x-axis title, y-axis title, y-axis ticklabel. ''topcenter'': removes x-axis title, x-axis ticklabel, y-axis title, y-axis ticklabel. ''bottomcenter'': removes x-axis title, y-axis title, y-axis ticklabel. ''single'': keeps all ticks but removes title ''centerleft'' : removes some ticks and titles ''centerright'' : removes some ticks and titles ''center'': removes everything
hmargin	The amount of height of blank space between subplots. It sets the size of the empty space (i.e., margin) between panels. T he default is set to 1, which should reduce the empty space (right and left side of each panel) between the panels.
wmargin	The amount of width of blank space between subplots. It sets the size of the empty space (i.e., margin) between panels. T he default is set to 1, which should reduce the empty space (right and left side of each panel) between the panels.

Value

Returns a ggplot2 output with ticks removed.

Examples

library(ggplot2)
library(smplot2)
set.seed(1) # generate random data
day1 = rnorm(16,2,1)
day2 = rnorm(16,5,1)
Subject <- rep(paste0('S',seq(1:16)), 2)
Data <- data.frame(Value = matrix(c(day1,day2),ncol=1))
Day <- rep(c('Day 1', 'Day 2'), each = length(day1))
df <- cbind(Subject, Data, Day)

# with aesthetic defaults of smplot
ggplot(data = df, mapping = aes(x = Day, y = Value, color = Day)) +
sm_bar() +
scale_color_manual(values = sm_color('blue','orange')) +
sm_common_axis('bottomleft')

smin95/sesplot documentation built on July 2, 2024, 9:35 a.m.