oii.summary {oii}

Print summary statistics for a numeric variable

Description

This function is designed to be like the built-in summary function but include a few additional values. If the input is not numeric, the built-in summary command is executed.

Usage

oii.summary(x, extended = FALSE, warnings = FALSE)

Arguments

x

a numeric vector for which summary statistics should be generated.

extended

a logical value indicating whether additional statistics should be printed (see Value section). Defaults to FALSE stripped before the computation proceeds (defaults to TRUE).

warnings

a logical value indicating whether warnings should be shown (defaults to FALSE, no warnings).

Value

If x is not numeric, the built-in summary command is executed. If x is numeric (that is, is.numeric(x) returns TRUE), then a list with the following elements is returned:

cases

The number of non-missing values in x (Valid N)

na

The number of missing values in x (Missing N).

mean

The mean value of x after missing values are removed. See mean

sd

The standard deviation for values in x. See sd

min

The minimum/smallest value in x. See min

max

The maximum/largest value in x. See max

This function also calculates the following statistics, but these are not printed by default unless extended is set to TRUE

var

The variance of x after missing values are removed. See var

median

The median value of x after missing values are removed. See median

p25

The 25th percentile of x after missing values are removed

p75

The 75th percentile of x after missing values are removed

skewness

The skewness coefficient for x after missing values are removed. See skewness

kurtosis

The kurtosis coefficient for x after missing values are removed. See kurtosis

See Also

summary, min, median, mean, max, sd, is.na, is.numeric, skewness, kurtosis, var

Examples

#Generate data from a normal distribution with mean 0 and sd 1
#store the result in a variable called tmp
tmp<-rnorm(500,mean=0,sd=1)

#Print the summary statistics about tmp
oii.summary(tmp)
#Print even more summary statistics about tmp
oii.summary(tmp,extended=TRUE)