scan (version 0.20)

pem: Percent exceeding the median

Description

The pem function returns the percentage of phase B data exceeding the phase A median. Additionally, a chi square test against a 50/50 distribution is computed. Different measures of central tendency can be addressed for alternative analyses.

Usage

pem(data, decreasing = FALSE, binom.test = TRUE, chi.test = FALSE, FUN = median, ...)

Arguments

data

A single-case data frame or a list of single-case data frames. See makeSCDF to learn about this format.

decreasing

If you expect data to be lower in the B phase, set decreasing = TRUE. Default is decreasing = FALSE.

binom.test

Computes a binomial test for a 50/50 distribution. Default is binom.test = TRUE.

chi.test

Computes a Chi-square test. The default setting chi.test = FALSE skips the Chi-square test.

FUN

Data points are compared with the phase A median. Use this argument to implement alternative measures of central tendency. Default is FUN = median

…

Additional arguments for the FUN parameter (e.g. FUN = mean, trim = 0.1 will use the 10 percent trimmed arithmetic mean instead of the median for comparisons).

Value

PEM

Percent exceeding the median.

test

A list of results from the binomial- and chi-square test.

decreasing

Logical argument from function call (see Arguments above).

See Also

overlapSC, describeSC, nap, pand, pet, pnd

Examples

# NOT RUN {
## Calculate the PEM including the Binomial and Chi-square tests for a single-case
dat <- rSC(5, d.level = 0.5)
pem(dat, chi.test = TRUE)
# }