get.MatH.stats {HistDAWass}

Method get.MatH.stats

Description

It returns statistics for each distribution contained in a MatH object.

Usage

get.MatH.stats(object, ...)

## S4 method for signature 'MatH'
get.MatH.stats(object, stat = "mean", prob = 0.5)

Arguments

object

a MatH object

...

a set of other parameters

stat

(optional) a string containing the required statistic. Default='mean'
- stat='mean' - for computing the mean of each histogram
- stat='median' - for computing the median of each histogram
- stat='min' - for computing the minimum of each histogram
- stat='max' - for computing the maximum of each histogram
- stat='std' - for computing the standard deviatio of each histogram
- stat='skewness' - for computing the skewness of each histogram
- stat='kurtosis' - for computing the kurtosis of each histogram
- stat='quantile' - for computing the quantile ot level prob of each histogram

prob

(optional)a number between 0 and 1 for computing the value once choosen the 'quantile' option for stat.

Value

A list

Slots

stat

- the chosen statistic

prob

- level of probability if stat='quantile'

MAT

- a matrix of values

Examples

get.MatH.stats(BLOOD) # the means of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "median") # the medians of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "quantile", prob = 0.5) # the same as median
get.MatH.stats(BLOOD, stat = "min") # minima of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "quantile", prob = 0) # the same as min
get.MatH.stats(BLOOD, stat = "max") # maxima of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "quantile", prob = 1) # the same as max
get.MatH.stats(BLOOD, stat = "std") # standard deviations of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "skewness") # skewness indices of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "kurtosis") # kurtosis indices of the distributions in BLOOD dataset
get.MatH.stats(BLOOD, stat = "quantile", prob = 0.05)
# the fifth percentiles of distributions in BLOOD dataset