expss: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics

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.

Package details

AuthorGregory Demin [aut, cre], Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>), Dan Chaltiel [ctb], John Williams [ctb], Tom Elliott [ctb]
MaintainerGregory Demin <gdemin@gmail.com>
LicenseGPL (>= 2)
Version0.11.6
URL https://gdemin.github.io/expss/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("expss")

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expss documentation built on July 26, 2023, 5:23 p.m.