numSummary {Rcmdr}R Documentation

Mean, Standard Deviation, and Quantiles for Numeric Variables

Description

numSummary creates neatly formatted tables of means, standard deviations, and quantiles of numeric variables.

Usage

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

Arguments

data a numeric vector, matrix, or data frame.
statistics any of "mean", "sd", or "quantiles", defaulting to all three.
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.
... 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.

Author(s)

John Fox jfox@mcmaster.ca

See Also

mean, sd, quantile.

Examples

library(car)
Prestige[1, "income"] <- NA
numSummary(Prestige[,c("income", "education")])
numSummary(Prestige[,c("income", "education")], groups=Prestige$type)
remove(Prestige)
[Package Rcmdr version 1.2-7 Index]