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Each function accomplishes the work of multiple standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for comprehensive summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and Trellis graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Version: | 4.3.6 |
Depends: | R (≥ 3.6.0) |
Imports: | graphics, grDevices, stats, utils, methods, lattice, latticeExtra, robustbase, ellipse, leaps, openxlsx, colorspace, shiny, knitr |
Suggests: | KernSmooth, rmarkdown, wesanderson, haven, readODS, triangle, arrow, xts, zoo |
Published: | 2024-06-22 |
DOI: | 10.32614/CRAN.package.lessR |
Author: | David Gerbing, The School of Business, Portland State University |
Maintainer: | David W. Gerbing <gerbing at pdx.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | lessR citation info |
Materials: | NEWS |
CRAN checks: | lessR results |
Reference manual: | lessR.pdf |
Vignettes: |
intro |
Package source: | lessR_4.3.6.tar.gz |
Windows binaries: | r-devel: lessR_4.3.6.zip, r-release: lessR_4.3.6.zip, r-oldrel: lessR_4.3.6.zip |
macOS binaries: | r-release (arm64): lessR_4.3.6.tgz, r-oldrel (arm64): lessR_4.3.6.tgz, r-release (x86_64): lessR_4.3.6.tgz, r-oldrel (x86_64): lessR_4.3.6.tgz |
Old sources: | lessR archive |
Reverse imports: | CliquePercolation, starvars |
Please use the canonical form https://CRAN.R-project.org/package=lessR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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