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Tools for Descriptive Statistics and Exploratory Data Analysis
AndriSignorell/DescTools
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DescTools is an extensive collection of miscellaneous basicstatistics functions and comfort wrappers not available in the R basicsystem for efficient description of data. The author’s intention was tocreate a toolbox, which facilitates the (notoriously time consuming)first descriptive tasks in data analysis, consisting of calculatingdescriptive statistics, drawing graphical summaries and reporting theresults. The package contains furthermore functions to produce documentsusing MS Word (or PowerPoint) and functions to import data from Excel.
A considerable part of the included functions can be found scattered inother packages and other sources written partly by Titans of R. Thereason for collecting them here, was primarily to have them consolidatedin ONE instead of dozens of packages (which themselves might depend onother packages, which are not needed at all), and to provide a commonand consistent interface as far as function and arguments naming,NAhandling, recycling rules etc. are concerned. Google style guides wereused as naming rules (in absence of convincing alternatives). The‘CamelStyle’ was consequently applied to functions borrowed fromcontributed R packages as well.
Feedback, feature requests, bug reports and other suggestions arewelcome! Please report problems toGitHub issuestracker(preferred), Stack Overflow mentioningDescTools or directly to themaintainer.
You can install the released version ofDescTools fromCRAN with:
install.packages("DescTools")And the development version from GitHub with:
if (!require("remotes")) install.packages("remotes")remotes::install_github("AndriSignorell/DescTools")
Warning: This package is still under development. Although the codeseems meanwhile quite stable, until release of version 1.0 you should beaware that everything in the package might be subject to change.Backward compatibility is not yet guaranteed. Functions may be deletedor renamed and new syntax may be inconsistent with earlier versions. Byrelease of version 1.0 the “deprecated-defunct process” will beinstalled.
To make use of MS-Office features, you must have Office in one of itsvariants installed. AllWrd*,XL* andPp* functions require thepackageRDCOMClient to be installed as well. Hence the use of thesefunctions is restricted toWindows systems.RDCOMClient can beinstalled with:
install.packages("RDCOMClient",repos="http://www.omegahat.net/R")
Theomegahat repository does not benefit from the same update serviceas CRAN. So you may be forced to install a package compiled with anearlier version, which usually is not a problem. Use e.g. for R 3.6.x/R4.0.x:
url<-"http://www.omegahat.net/R/bin/windows/contrib/4.2/RDCOMClient_0.96-1.zip"install.packages(url,repos=NULL,type="binary")
RDCOMClient does not exist for Mac or Linux, sorry.
Andri Signorell
Helsana Versicherungen AG, Health Sciences, Zurich
HWZ University of Applied Sciences in Business Administration Zurich.
R is a community project. This can be seen from the fact that thispackage includes R source code and/or documentation previously publishedbyvarious authors andcontributors.Special thanks go to Beat Bruengger, Mathias Frueh, Daniel Wollschlaegerfor their valuable contributions and testing. The good things come fromall these guys, any problems are likely due to my tweaking. Thank youall!
Maintainer: Andri Signorell
library(DescTools)demo(describe,package="DescTools")
demo(plots,package="DescTools")
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Tools for Descriptive Statistics and Exploratory Data Analysis
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