numSummaryIPSUR: Mean, Standard Deviation, Skewness, Kurtosis, and Quantiles...

In RcmdrPlugin.IPSUR: An IPSUR Plugin for the R Commander

Description

numSummary creates neatly formatted tables of means, standard deviations, skewness, kurtosis, and quantiles of numeric variables. Note that the e1071 package must be installed to compute skewness or kurtosis.

Usage

numSummaryIPSUR(data, statistics=c("mean", "sd", "skewness", "kurtosis","quantiles"), 
    quantiles=c(0, .25, .5, .75, 1), groups)
    
## S3 method for class 'numSummaryIPSUR'
print(x, ...)

Arguments

data	a numeric vector, matrix, or data frame.
statistics	any of "mean", "sd", "skewness", "kurtosis",or "quantiles", defaulting to the first four.
quantiles	quantiles to report; default is c(0, 0.25, 0.5, 0.75, 1).
groups	optional variable, typically a factor, to be used to partition the data.
x	object of class "numSummaryIPSUR" to print.
...	arguments to pass down from the print method.

Value

numSummaryIPSUR returns an object of class "numSummaryIPSUR" containing the table of statistics to be reported along with information on missing data, if there are any.

Author(s)

John Fox [e-mail], with skewness and kurtosis added by G. Jay Kerns [e-mail]

See Also

mean, sd, skewness, kurtosis, quantile.

RcmdrPlugin.IPSUR documentation built on May 2, 2019, 2:43 a.m.