ds.statistics: Calculation of the Statistic Measures

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

Description

This function calculates the basic descriptive measures of the input dataset.

Usage

ds.statistics(data, tojson = FALSE)

Arguments

data	A numeric vector, matrix or data frame
tojson	If TRUE the results are returned in json format, default returns a list

Details

This function returns the following values of the input data: minimum, maximum, range, mean, median, first and third quantiles, variance, standart deviation, skewness and kurtosis.

Value

A list or json file with the following components:

• Min The minimum observed value of the input data

• Max The maximum observed value of the input data

• Range The range, defined as the difference of the maximum and the minimum value.

• Mean The average value of the input data

• Median The median value of the input data

• Quantiles The 25% and 75% percentiles

• Variance The variance of the input data

• Standard Deviation The standard deviation of the input data

• Skewness The Skewness of the input data

• Kurtosis The Kurtosis of the input data

Author(s)

Aikaterini Chatzopoulou, Kleanthis Koupidis, Charalampos Bratsas

See Also

open_spending.ds

Examples

# with matrix as an input and json outpout
Matrix <- cbind(
  Uni05 = (1:200) / 21, Norm = rnorm(200),
  `5T` = rt(200, df = 5), Gam2 = rgamma(200, shape = 2)
)
ds.statistics(Matrix, tojson = TRUE)

# with vector as an input
vec <- as.vector(iris$Sepal.Width)
ds.statistics(vec, tojson = FALSE)

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

# OpenBudgets.eu Dataset Example:
ds.statistics(Wuppertal_df$Amount, tojson = TRUE)

okgreece/DescriptiveStats.OBeu documentation built on Sept. 7, 2021, 6:32 p.m.