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boostmath (version 1.4.0)

univariate_statistics: Univariate Statistics Functions

Description

Functions to compute various univariate statistics.

Usage

mean_boost(x)

# S3 method for default variance(x, ...)

sample_variance(x)

mean_and_sample_variance(x)

# S3 method for default skewness(x, ...)

# S3 method for default 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)

# S3 method for default mode(x, ...)

Value

A numeric value or vector with the computed statistic.

Arguments

x

A numeric vector.

...

Additional arguments (not used).

See Also

Boost Documentation for more details on the mathematical background.

Examples

Run this code
# Mean
mean_boost(c(1, 2, 3, 4, 5))
# Variance
variance(c(1, 2, 3, 4, 5))
# Sample Variance
sample_variance(c(1, 2, 3, 4, 5))
# Mean and Sample Variance
mean_and_sample_variance(c(1, 2, 3, 4, 5))
# Skewness
skewness(c(1, 2, 3, 4, 5))
# Kurtosis
kurtosis(c(1, 2, 3, 4, 5))
# Excess Kurtosis
excess_kurtosis(c(1, 2, 3, 4, 5))
# First Four Moments
first_four_moments(c(1, 2, 3, 4, 5))
# Median
median_boost(c(1, 2, 3, 4, 5))
# Median Absolute Deviation
median_absolute_deviation(c(1, 2, 3, 4, 5))
# Interquartile Range
interquartile_range(c(1, 2, 3, 4, 5))
# Gini Coefficient
gini_coefficient(c(1, 2, 3, 4, 5))
# Sample Gini Coefficient
sample_gini_coefficient(c(1, 2, 3, 4, 5))
# Mode
mode(c(1, 2, 2, 3, 4))

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