# 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", "IQR", "quantiles", "cv", "skewness", "kurtosis"),
type=c("2", "1", "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 skewness and kurtosis functions in the e1071 package. The defau
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, skewness, kurtosis.

##### Aliases
• numSummary
• print.numSummary
##### Examples
data(Prestige, package="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 2.0-2, License: GPL (>= 2)

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