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DescriptiveStats.OBeu (version 1.3.2)

ds.boxplot: Boxplot Parameters of a matrix or data frame

Description

This function calculates the statistics of the boxplot for the input matrix or data frame.

Usage

ds.boxplot(data, out.level = 1.5, width = 0.15 , outl = TRUE, tojson = FALSE)

Arguments

data

The input numeric matrix or data frame.

out.level

Determines the length of the "whiskers" plot. If it is equal to zero or "outl" is set to F, no outliers will be returned.

width

The width level is determined 0.15 times the square root of the size of the input data.

outl

If TRUE the outliers will be computed at the selected "out.level" level (default is 1.5 times the Interquartile Range).

tojson

If TRUE the results are returned in json format

Value

Returns a list with the extracted components of ds.box for each variable/column of the input data.

Details

This function returns as a list object the statistical parameters needed to visualize boxplot.

See Also

ds.box, ds.analysis, open_spending.ds

Examples

Run this code
# NOT RUN {
# with matrix as an input and the default parameters
Matrix <- cbind(Uni05 = (1:200)/21, Norm = rnorm(200),
         `5T` = rt(200, df = 5), Gam2 = rgamma(200, shape = 2))
ds.boxplot(Matrix, out.level = 1.5, width = 0.15 , outl = TRUE, tojson = FALSE)

# iris data frame as an input, different parameters and json output
ds.boxplot(iris, out.level = 2, width = 0.25 , outl = FALSE, tojson = TRUE)

# OpenBudgets.eu Dataset Example:
ds.boxplot(Wuppertal_df$Amount, out.level = 2.5, width = 0.15, 
outl = TRUE, tojson = FALSE)
       
# }

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