summary.freqtab {equate}

Descriptive Statistics for Frequency Tables

Description

These functions return descriptive statistics for a frequency table of class “freqtab”.

Usage

## S3 method for class 'freqtab'
summary(object, margin = seq(margins(object)), ...)

## S3 method for class 'freqtab'
mean(x, margin = 1, ...)

sd.freqtab(x, margin = 1)

var.freqtab(x, margin = 1)

cov.freqtab(x, margin = seq(margins(x)))

cor.freqtab(x, margin = seq(margins(x)))

## S3 method for class 'freqtab'
min(x, margin = 1, ..., na.rm = FALSE)

## S3 method for class 'freqtab'
max(x, margin = 1, ..., na.rm = FALSE)

## S3 method for class 'freqtab'
range(x, margin = 1, ..., na.rm = FALSE)

skew.freqtab(x, margin = 1)

kurt.freqtab(x, margin = 1)

Arguments

object, x

object of class “freqtab”.

margin

integer vector specifying the margin(s) for which summary statistics will be returned. This defaults to 1 for univariate statistics, and seq(margins(x)), i.e., all the margins, for multivariate statistics (covariance and correlation).

...

further arguments passed to or from other methods.

na.rm

logical indicating whether missing values should be removed, currently ignored since frequency tables cannot contain missing values.

Details

mean, sd.freqtab, var.freqtab, skew.freqtab, and kurt.freqtab return the mean, standard deviation, variance, skewness, and kurtosis. min and max return the minimum and maximum observed scores, and range returns both. cov.freqtab and cor.freqtab return the covariance and correlation matrices for one or more variables. summary returns univariate statistics across one or more margins.

Value

summary returns a data frame of summary statistics, including the mean, standard deviation, skewness, kurtosis, minimum, maximum, and number of observations for each variable in margin. Otherwise, a vector of length length(margin) is returned with the corresponding statistic for each variable.

Author(s)

Anthony Albano [e-mail]

See Also

freqtab

Examples

summary(as.freqtab(ACTmath[, 1:2]))

ny <- freqtab(KBneat$y, scales = list(0:36, 0:12))
summary(ny)
cov.freqtab(ny)