prism.plots: Plot prism-like Plots

In dustinfife/fifer: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis

Description

Plot prism-like Plots

Usage

prism.plots(
  formula,
  data,
  centerfunc = median,
  interquartile = TRUE,
  spreadfunc = function(x) {     return(1.96 * sd(x)/sqrt(length(x))) },
  def.axis = TRUE,
  jitter.y = FALSE,
  add = FALSE,
  start = 0,
  col = "gray",
  ...
)

Arguments

formula	a formula object with the quantitative variable as the response variable (e.g., Var~group).
data	a dataset containing the variables indicated in formula
centerfunc	what function should be used to indicate the center of the distribution. Defaults to median.
interquartile	Should the interquartile range be plotted? Defaults to TRUE.
spreadfunc	what function should be used to calculate the spread of the distribution? If interquartile=TRUE, this argument will be ignored. The default (when not ignored) is to produce a 95% confidence interval (1.96*sd(x)/sqrt(n)).
def.axis	Logical. Should the default axes be used?
jitter.y	Logical. Should the y values be jittered as well?
add	Should the plot be added to an existing plot?
start	What X value should the plot start at? (defaults to zero)
col	What color should the dots be painted? Defaults to gray.
...	other arguments passed to plot

Details

Given a factor (e.g., group membership) and a quantitative variable, this function plots a psuedo-scatterplot of the groups on the x axis (jittered) and the DV on the y axis.

Author(s)

Dustin Fife

See Also

boxplot, densityPlotR, plotSigBars

Examples

prism.plots(count ~ spray, data = InsectSprays, centerfunc=mean)
prism.plots(count ~ spray, data = InsectSprays, centerfunc=median)

dustinfife/fifer documentation built on Oct. 31, 2020, 3:36 p.m.