numSummary

0th

Percentile

Summary Statistics for Numeric Variables

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

Keywords
misc
Usage
numSummary(data,
statistics=c("mean", "sd", "quantiles", "cv", "skewness", "kurtosis"),
type=c("1", "2", "3"),
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", "quantiles", "cv" (coefficient of variation --- sd/mean), "skewness", or "kurtosis", defaulting to the first three.
type
definition to use in computing skewness and kurtosis; see the link[e1071]{skewness} and link[e1071]{kurtosis} functions in the e1071 package. The default is "1".
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.

mean, sd, quantile, link[e1071]{skewness}, link[e1071]{kurtosis}.

Aliases
• numSummary
• print.numSummary
Examples
library(car)
Prestige[1, "income"] <- NA
numSummary(Prestige[,c("income", "education")],
statistics=c("mean", "sd", "quantiles", "cv", "skewness", "kurtosis"))
numSummary(Prestige[,c("income", "education")], groups=Prestige\$type)
remove(Prestige)
Documentation reproduced from package Rcmdr, version 1.9-1, License: GPL (>= 2)

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