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MKdescr (version 0.7)

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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Version

Install

install.packages('MKdescr')

Monthly Downloads

607

Version

0.7

License

LGPL-3

Maintainer

Matthias Kohl

Last Published

August 5th, 2021

Functions in MKdescr (0.7)

SNR

Compute SNR
SMD

Compute Standardized Mean Difference (SMD)
glog

Compute Generalized Logarithm
MKdescr-package

Descriptive Statistics.
illustrate.boxplot

Illustrate Box-and-Whisker Plots
fiveNS

Five-Number Summaries
illustrate.quantile

Illustrate Quantiles
IQrange

The Interquartile Range
CV

Compute CV
transformations

New Transformations for Use with ggplot2 Package
meanAD

The Mean Absolute Deviation
melt.long

Transform data.frame to Long Form
qboxplot

Box Plots
simCorVars

Simulate correlated variables.
qbxp.stats

Box Plot Statistics
thyroid

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

Hyber-type Skipped Mean and SD
zscore

Compute z-Scores