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Univariate Statistics Functions

Source: R/univariate_statistics.R
univariate_statistics.Rd

Functions to compute various univariate statistics.

Usage

mean_boost(x)

variance(x)

sample_variance(x)

mean_and_sample_variance(x)

skewness(x)

kurtosis(x)

excess_kurtosis(x)

first_four_moments(x)

median_boost(x)

median_absolute_deviation(x)

interquartile_range(x)

gini_coefficient(x)

sample_gini_coefficient(x)

mode_boost(x)

Arguments

x

A numeric vector.

Value

A numeric value or vector with the computed statistic.

See also

Boost Documentation for more details on the mathematical background.

Examples

# Mean
mean_boost(c(1, 2, 3, 4, 5))
#> [1] 3
# Variance
variance(c(1, 2, 3, 4, 5))
#> [1] 2
# Sample Variance
sample_variance(c(1, 2, 3, 4, 5))
#> [1] 2.5
# Mean and Sample Variance
mean_and_sample_variance(c(1, 2, 3, 4, 5))
#> [1] 3.0 2.5
# Skewness
skewness(c(1, 2, 3, 4, 5))
#> [1] 0
# Kurtosis
kurtosis(c(1, 2, 3, 4, 5))
#> [1] 1.7
# Excess Kurtosis
excess_kurtosis(c(1, 2, 3, 4, 5))
#> [1] -1.3
# First Four Moments
first_four_moments(c(1, 2, 3, 4, 5))
#> [1] 3.0 2.0 0.0 6.8
# Median
median_boost(c(1, 2, 3, 4, 5))
#> [1] 3
# Median Absolute Deviation
median_absolute_deviation(c(1, 2, 3, 4, 5))
#> [1] 1
# Interquartile Range
interquartile_range(c(1, 2, 3, 4, 5))
#> [1] 3
# Gini Coefficient
gini_coefficient(c(1, 2, 3, 4, 5))
#> [1] 0.2666667
# Sample Gini Coefficient
sample_gini_coefficient(c(1, 2, 3, 4, 5))
#> [1] 0.3333333
# Mode
mode_boost(c(1, 2, 2, 3, 4))
#> [1] 2