numSummary
From Rcmdr v2.0-4
by John Fox
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
andkurtosis
functions in thee1071 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.
See Also
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)
Community examples
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