DescriptiveStats.OBeu (version 1.3.2)

ds.skewness: Calculation of Skewness

Description

This function calculates skewness of the input vector, matrix or data frame.

Usage

ds.skewness(x, tojson = FALSE)

Arguments

x

A numeric vector, matrix or data frame.

tojson

If TRUE the results are returned in json format

Details

This function returns the skewness, also known as Pearson's moment coefficient of skewness, of numbers of the input data.

See Also

ds.kurtosis, ds.statistics, ds.analysis, open_spending.ds

Examples

# NOT RUN {
# with a matrix as an input
Matrix <- cbind(Uni05 = (1:200)/21, Norm = rnorm(200),
        `5T` = rt(200, df = 5), Gam2 = rgamma(200, shape = 2))
ds.skewness(Matrix, tojson = FALSE)

# with iris data frame as an input
ds.skewness(iris, tojson = FALSE)

# with a vector as an input and json output
vec <- as.vector(iris$Sepal.Width)
ds.skewness(vec, tojson = TRUE)

# OpenBudgets.eu Dataset Example:
ds.skewness(Wuppertal_df, tojson = FALSE)

# }