ds.analysis: Calculation of some Descriptive Tasks

In DescriptiveStats.OBeu: Descriptive Statistics 'OpenBudgets.eu'

Description

The function calculates the basic descriptive measures, the correlation and the boxplot parameters of all the numerical variables and the frequencies of all the nominal variables.

Usage

ds.analysis(data, c.out = 1.5, box.width = 0.15, outliers = TRUE, hist.class = "Sturges", 
corr.method = "pearson", fr.select = NULL, tojson = FALSE)

Arguments

data	The input data
c.out	Determines the length of the "whiskers" plot. If it is equal to zero no outliers will be returned.
box.width	The width level is determined 0.15 times the square root of the size of the input data.
outliers	If TRUE the outliers will be computed at the selected "c.out" level (default is 1.5 times the Interquartile Range).
hist.class	The method or the number of classes for the histogram.
corr.method	The correlation coefficient method to compute: "pearson" (default), "kendall" or "spearman".
fr.select	One or more nominal variables to calculate their corresponding frequencies.
tojson	If TRUE the results are returned in json format

Details

This function returns a list with the basic statistics, the parameters needed to visualize a boxplot and a histogram, it also provides the frequencies of non numerical data of the input dataset and the correlation coefficient. The input of this function can be a matrix or data frame.

Value

A list or json file with the following components:

• descriptives The descriptive measures

• boxplot The statistics of the boxplot

• histogram The histogram parameters

• frequencies The frequencies and the relative frequencies of factors/characters of the input dataset

• correlation The correlation coefficient

Author(s)

Kleanthis Koupidis, Charalampos Bratsas

See Also

open_spending.ds

Examples

# iris data frame as input with the default parameters
ds.analysis(iris)

# using iris data frame with different parameters
ds.analysis(iris, c.out = 1, box.width = 0.20, outliers = TRUE, tojson = TRUE)

# using iris data frame with different parameters 
# fr.select parameter specified as Species
ds.analysis(iris, c.out = 1, outliers = FALSE, fr.select = "Species", tojson = TRUE)

# OpenBudgets.eu Dataset Example:
ds.analysis(Wuppertal_df, c.out = 2, box.width = 0.15, 
outliers = FALSE, tojson = FALSE)
                

DescriptiveStats.OBeu documentation built on May 4, 2020, 9:06 a.m.