seWithin: Compute standard errors (within-subjects)

In hauselin/hausekeep: Miscellaneous helper and utility functions

Compute standard errors (within-subjects)

Description

seWithin is used to compute the standard error(s) for one or more variables, for one or more groups in a dataframe, handling within-subjects variables by removing inter-subject variability

Usage

seWithin(data = NULL, measurevar, betweenvars = NULL, withinvars = NULL,
idvar = NULL, na.rm = TRUE, conf.interval = 0.95, shownormed = FALSE)

Arguments

data	a dataframe
measurevar	the name(s) of column(s) that contain the variable to be summariezed
betweenvars	a vector containing names of columns that are between-subjects variables
withinvars	a vector containing names of columns that are within-subjects variables
idvar	the name of the column that identifies each subject
na.rm	boolean that indicates whether to ignore NA's
conf.interval	confidence interval range
shownormed	whether to show noramlized results

Value

A data.table

Note

Code adapted from R cookbook (see references).

Author(s)

Hause Lin

References

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

See Also

stderror

stderror

Examples

result <- seWithin(data = ChickWeight, measurevar = "weight",
betweenvars = "Diet", withinvars = "Time", idvar = "Chick")

# multiple outcome variables
ChickWeight2 <- ChickWeight
ChickWeight2$weight2 <- ChickWeight2$weight * 100 # create a new outcome variable
result <- seWithin(data = ChickWeight2, measurevar = c("weight", "weight2"),
betweenvars = "Diet", withinvars = "Time", idvar = "Chick")

hauselin/hausekeep documentation built on Feb. 3, 2023, 3:09 p.m.