RcmdrMisc (version 2.9-1)

numSummary: 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 numSummary
print(x, ...)

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.

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.

Author

John Fox

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)
}