multVarPlot: multVarPlot

In TaylorAndrew/atPlot: Methods and Wrappers for Plots in R

Description

multVarPlot provides a simple interface for plotting multiple columns in a data.frame across common X and Y axes.

Usage

multVarPlot(data, varList, grouping, legendTitle = NULL,
  legendLabels = NULL, xlab = NULL, xlabels = NULL, ylab = NULL,
  ylabels = NULL, colourManual = NULL, shapeManual = NULL, title = NULL,
  errorBars = FALSE, errorBarWidth = 0.1, errorBarType = "se")

Arguments

data	data.frame containing variables for plotting
varList	Vector of variable names to plot across the x-axis
grouping	Variable name to use for grouping data
legendTitle	Title for the legend, given a grouping variable
legendLabels	Labels for the legend, given a grouping variable
xlab	X-axis label
xlabels	X-axis value labels to match to the varList variable names
ylab	Y-axis label
ylabels	Y-axis value labels
colourManual	Manual colour pallet for grouping variable levels
shapeManual	Manual shape pallet for grouping variable levels
title	Main title for plot
errorBars	If TRUE, error bars will be added to the plot
errorBarWidth	If errorBars==TRUE, width of the error bars
errorBarType	If errorBars==TRUE, error bar type: 'sd', 'se', or 'ci'

Value

A ggplot2 object

Examples

#data(iris)
#l <- multVarPlot(data=iris,
#              varList= c("Sepal.Length", "Sepal.Width",
#                         "Petal.Length", "Petal.Width"),
#              grouping = "Species",
#              colourManual = c("blue", "red", "black"),
#              shapeManual = c(15, 16, 17),
#              errorBars = T,
#              errorBarType = "sd")
#l + theme(legend.position="bottom") +
#   scale_x_discrete("Measurement Type",
#                    labels=c("Sepal.Length"="SL",
#                             "Sepal.Width"="SW",
#                             "Petal.Length"="PL",
#                             "Petal.Width"="PW"))

TaylorAndrew/atPlot documentation built on May 9, 2019, 4:23 p.m.