lessR

Less Code, More Results

Each function accomplishes the work of several or more 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 descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here 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, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation of R markdown instructions for interpretative output.

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Description file content

Package
lessR
Version
3.8.1
Date
2019-01-10
Title
Less Code, More Results
Author
David W. Gerbing, The School of Business, Portland State University
Maintainer
David W. Gerbing
Depends
R (>= 2.15.0)
Imports
graphics, grDevices, stats, utils, foreign, methods, lattice, latticeExtra, robustbase, ellipse, leaps, sas7bdat, openxlsx, triangle, png, colorspace, viridisLite, wesanderson, randomcoloR
Suggests
KernSmooth
Description
Each function accomplishes the work of several or more 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 descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here 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, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation of R markdown instructions for interpretative output.
License
GPL (>= 2)
LazyLoad
yes
Packaged
2019-01-10 11:00:40 UTC; davidgerbing
NeedsCompilation
no
Repository
CRAN
Date/Publication
2019-01-10 12:40:03 UTC

install.packages('lessR')

3.8.1

2 months ago

David W. Gerbing

GPL (>= 2)

Depends on

R (>= 2.15.0)

Imports

graphics, grDevices, stats, utils, foreign, methods, lattice, latticeExtra, robustbase, ellipse, leaps, sas7bdat, openxlsx, triangle, png, colorspace, viridisLite, wesanderson, randomcoloR

Suggests

KernSmooth

Discussions