meanPlot: Computes standard error and confidence intervals under...

In felixchiasson/meanPlot: Computes standard error and confidence interval of means under various designs and sampling schemes

Description

Computes standard error and confidence interval under various designs and sampling schemes

Usage

meanPlot(data, ..., bsfactor = NULL, wsfactor = NULL, factorOrder,
  measure, statistic = "mean", errorbar = "SE", gamma,
  adjustments = list(purpose = "single", popsize = Inf, decorrelation =
  "none"), sep, plot = TRUE, plot.type = "bar",
  error.params = list(width = 0.8), graph.params = list())

Arguments

data	Data frame
bsfactor	The name of your between-subject factor(s)
wsfactor	The name of your within-subject factor(s)
factorOrder	Order of factors as shown in the graph (x axis, groups, panels)
measure	Your dependent variable
errorbar	The content of your error bar. Can either be "CI" or "SE". Defaults to "SE"
gamma	Only necessary if errorbar == "CI". The confidence level.
adjustments	List of adjustments as described below
sep	The separator used to separate dependent variables from within-subject factors in a wide data frame. Only required for wide data frames where wsfactors are separated by a character. Can be skipped if you would like to have groups of within factors in your graph.
plot	Defaults to TRUE. Set to FALSE if you do not want the output to be a plot.
plot.type	The type of object to plot on the graph. Can be either "bar" or "line". Defaults to "bar".
error.params	a list of ggplot2 parameters to input inside geom_errobar (see ?geom_errorbar in ggplot2)
graph.params	a list of ggplot2 parameters to input inside geoms (see ?geom_bar in ggplot2)
popsize	Size of the population under study if known. Defaults to Inf
purpose	The purpose of the comparisons. Defaults to "single". Options: single, difference
decorrelation	For repeated measure designs only. Chooses the decorrelation method ("CM" or "LM"). Defaults to "none".

Examples

meanPlot(ToothGrowth, bsfactor = c("dose", "supp"), measure = "len",
statistic = "mean",
xlab = xlab("Dose"), ylab = ylab("Tooth Growth"),
theme = theme_bw())

felixchiasson/meanPlot documentation built on May 7, 2019, 7:16 p.m.