numSummary: Summary Statistics for Numeric Variables

In RcmdrMisc: R Commander Miscellaneous Functions

Summary Statistics for Numeric Variables

Description

numSummary creates neatly formatted tables of means, standard deviations, coefficients of variation, skewness, kurtosis, and quantiles of numeric variables. CV computes the coefficient of variation.

Usage

numSummary(data, 
           statistics=c("mean", "sd", "se(mean)", "var", "CV", "IQR", 
                "quantiles", "skewness", "kurtosis"),
            type=c("2", "1", "3"),
            quantiles=c(0, .25, .5, .75, 1),
            groups)

CV(x, na.rm=TRUE)
    
## S3 method for class 'numSummary'
print(x, ...)

Arguments

data	a numeric vector, matrix, or data frame.
statistics	any of "mean", "sd", "se(mean)", "var", "CV", "IQR", "quantiles", "skewness", or "kurtosis", defaulting to c("mean", "sd", "quantiles", "IQR").
type	definition to use in computing skewness and kurtosis; see the skewness and kurtosis functions in the e1071 package. The default is "2".
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 "numSummary" to print, or for CV, a numeric vector or matrix.
na.rm	if TRUE (the default) remove NAs before computing the coefficient of variation.
...	arguments to pass down from the print method.

Value

numSummary returns an object of class "numSummary" containing the table of statistics to be reported along with information on missing data, if there are any. CV returns the coefficient(s) of variation.

Author(s)

John Fox [e-mail]

See Also

mean, sd, quantile, skewness, kurtosis.

Examples

if (require("carData")){
    data(Prestige)
    Prestige[1, "income"] <- NA
    print(numSummary(Prestige[,c("income", "education")], 
    	statistics=c("mean", "sd", "quantiles", "cv", "skewness", "kurtosis")))
    print(numSummary(Prestige[,c("income", "education")], groups=Prestige$type))
    remove(Prestige)
}

RcmdrMisc documentation built on Sept. 27, 2023, 1:06 a.m.