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MKdescr  

Descriptive Statistics
View on CRAN: Click here


Download and install MKdescr package within the R console
Install from CRAN:
install.packages("MKdescr")

Install from Github:
library("remotes")
install_github("cran/MKdescr")

Install by package version:
library("remotes")
install_version("MKdescr", "0.8")



Attach the package and use:
library("MKdescr")
Maintained by
Matthias Kohl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-07
Latest Update: 2022-11-05
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).
How to cite:
Matthias Kohl (2019). MKdescr: Descriptive Statistics. R package version 0.8, https://cran.r-project.org/web/packages/MKdescr. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.4 (2019-11-07 14:30), 0.5 (2019-11-25 10:40), 0.6 (2020-10-18 23:50), 0.7 (2021-08-05 21:00)
Other packages that cited MKdescr R package
View MKdescr citation profile
Other R packages that MKdescr depends, imports, suggests or enhances
Complete documentation for MKdescr
Functions, R codes and Examples using the MKdescr R package
Some associated functions: 0MKdescr-package . CV . IQrange . SMD . SNR . fiveNS . glog . illustrateBoxplot . illustrateQuantile . meanAD . melt.long . qboxplot . qbxp.stats . sevenNS . simCorVars . skippedMean . thyroid . transformations . zscore . 
Some associated R codes: CV.R . IQrange.R . SMD.R . SNR.R . fiveNS.R . glog.R . illustrateBoxplot.R . illustrateQuantile.R . meanAD.R . melt.long.R . qboxplot.R . sIQR.R . sevenNS.R . simCorVars.R . skippedMean.R . thyroid.R . transformations.R . zscore.R .  Full MKdescr package functions and examples
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