summarySE: Summarize data for between-subjects designs.

In chavezlab/csnl: CSN Lab Helper Functions

Summarize data for between-subjects designs.

Description

Gives count, mean, standard deviation, standard error of the mean, and confidence interval (default 95 percent)

Usage

summarySE(
  data = NULL,
  measurevar,
  groupvars = NULL,
  na.rm = FALSE,
  conf.interval = 0.95,
  .drop = TRUE
)

Arguments

data	A data frame.
measurevar	The name of a column that contains the variable to be summariezed.
na.rm	A boolean that indicates whether to ignore NA's.
conf.interval	The percent range of the confidence interval, 95 percent default.
betweenvars	A vector containing names of columns that are between-subjects variables.
idvar	The name of a column that identifies each subject (or matched subjects).

Note

See : http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_(ggplot2)/

Author(s)

Winston Chang

Examples

x <- rnorm(100,100,15)
y <- sample(c("Group 1","Group 2"),100,TRUE)
df <- data.frame(x,y)
summarySE(data=df, measurevar="x", betweenvars="y")

chavezlab/csnl documentation built on June 12, 2022, 10:09 a.m.