psych (version 1.0-33)

error.bars: Plot means and confidence intervals

Description

One of the many functions in R to plot means and confidence intervals. Meant mainly for demonstration purposes for showing the probabilty of replication from multiple samples. Can also be combined with such functions as boxplot to summarize distributions.

Usage

error.bars(x, ylab = "Dependent Variable",xlab="", ylim = NULL, ci = 1.96, labels = NULL, pos = NULL, arrow.len = 0.05, add = FALSE, ...)

Arguments

x

A data frame or matrix

ylab

y label

xlab

x label

ylim

if specified, the limits for the plot, otherwise based upon the data

ci

What size confidence interval to use

labels

X axis label

pos

~~Describe pos here~~

arrow.len

How long should the top of the error bars be?

add

add=FALSE, new plot, add=TRUE, just points and error bars

...

~~Describe ... here~~

Value

See Also

See Also as error.crosses, ~~~

Examples

x <- matrix(rnorm(500),ncol=20)
error.bars(x)
#now do a boxplot and then add error bars
x.df <- as.data.frame(x)
boxplot(x.df)
error.bars(x.df, add=TRUE)