spreval (version 1.1.0)

quart: Compute several levels of quantiles and interquartile range

Description

generates quantiles at 0.1, 1,5,10-90, 95, 99, 99,9 percentiles.

Usage

quart(x)

Arguments

x

numeric array

Value

named list with following items:

q

quantiles at 0.1, 1,5,10-90, 95, 99, 99,9 percentiles

d

interquartile range - i.e., 75th quantile minus 25th quantile

%% ~Describe the value returned %% If it is a LIST, use %% \item{comp1 }{Description of 'comp1'} %% \item{comp2 }{Description of 'comp2'} %% ...

Details

Uses `stats::quantile`

See Also

quantile,eda.stats

Examples

# NOT RUN {
# quantiles for random normal data
x<-rnorm(25,10,1)
xn<-quart(x)
# }