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Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Version: | 0.11.6 |
Depends: | R (≥ 3.6.0), maditr (≥ 0.8.2) |
Imports: | utils, stats, data.table (≥ 1.12.6), htmlTable (≥ 1.11.0), matrixStats (≥ 0.51.0) |
Suggests: | foreign, DT, htmltools, knitr, rmarkdown, repr, ggplot2, testthat, openxlsx, fst, huxtable |
Published: | 2023-07-15 |
DOI: | 10.32614/CRAN.package.expss |
Author: | Gregory Demin [aut, cre], Sebastian Jeworutzki [ctb], Dan Chaltiel [ctb], John Williams [ctb], Tom Elliott [ctb] |
Maintainer: | Gregory Demin <gdemin at gmail.com> |
BugReports: | https://github.com/gdemin/expss/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://gdemin.github.io/expss/ |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | expss results |
Reference manual: | expss.pdf |
Vignettes: |
Examples Variable and value labels support in base R and other packages Tables with labels in R Export tables to xlsx files |
Package source: | expss_0.11.6.tar.gz |
Windows binaries: | r-devel: expss_0.11.6.zip, r-release: expss_0.11.6.zip, r-oldrel: expss_0.11.6.zip |
macOS binaries: | r-release (arm64): expss_0.11.6.tgz, r-oldrel (arm64): expss_0.11.6.tgz, r-release (x86_64): expss_0.11.6.tgz, r-oldrel (x86_64): expss_0.11.6.tgz |
Old sources: | expss archive |
Reverse imports: | eph, iNZightPlots, stabiliser |
Reverse suggests: | crosstable, iNZightTools |
Please use the canonical form https://CRAN.R-project.org/package=expss 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.