| numSummary {Rcmdr} | R Documentation |
numSummary creates neatly formatted tables of means, standard deviations, and quantiles of numeric variables.
numSummary(data, statistics=c("mean", "sd", "quantiles"),
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 "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. |
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
library(car)
Prestige[1, "income"] <- NA
numSummary(Prestige[,c("income", "education")])
numSummary(Prestige[,c("income", "education")], groups=Prestige$type)
remove(Prestige)