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MKdescr (version 0.8)

Descriptive Statistics

Description

Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985), ), robust coefficient of variation (CV) (Arachchige et al. (2019), ), robust signal to noise ratio (SNR), z-score, standardized mean difference (SMD), as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for 'ggplot2' (Wickham (2016), ISBN:978-3-319-24277-4).

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Install

install.packages('MKdescr')

Monthly Downloads

735

Version

0.8

License

LGPL-3

Issues

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Maintainer

Matthias Kohl

Last Published

November 5th, 2022

Functions in MKdescr (0.8)

zscore

Compute z-Scores
melt.long

Transform data.frame to Long Form
qbxp.stats

Box Plot Statistics
simCorVars

Simulate correlated variables.
sevenNS

Seven-Number Summaries
qboxplot

Box Plots
skippedMean

Hyber-type Skipped Mean and SD
transformations

New Transformations for Use with ggplot2 Package
thyroid

Plot TSH, fT3 and fT4 with respect to reference range.
illustrate.quantile

Illustrate Quantiles
MKdescr-package

Descriptive Statistics.
SMD

Compute Standardized Mean Difference (SMD)
CV

Compute CV
IQrange

The Interquartile Range
SNR

Compute SNR
illustrate.boxplot

Illustrate Box-and-Whisker Plots
meanAD

The Mean Absolute Deviation
glog

Compute Generalized Logarithm
fiveNS

Five-Number Summaries