Summary Statistics for Numeric Variables
numSummary creates neatly formatted tables of means, standard deviations, coefficients of variation,
skewness, kurtosis, and quantiles of numeric variables.
numSummary(data,
statistics=c("mean", "sd", "se(mean)", "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, ...)data |
a numeric vector, matrix, or data frame. |
statistics |
any of |
type |
definition to use in computing skewness and kurtosis; see the
|
quantiles |
quantiles to report; default is |
groups |
optional variable, typically a factor, to be used to partition the data. |
x |
object of class |
... |
arguments to pass down from the print method. |
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.
John Fox jfox@mcmaster.ca
if (require("car")){
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)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.