Package: expss Type: Package Title: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics Version: 0.11.7 Maintainer: Gregory Demin Authors@R: c( person("Gregory", "Demin", email = "gdemin@gmail.com", role = c("aut", "cre")), person("Sebastian", "Jeworutzki", email="Sebastian.Jeworutzki@ruhr-uni-bochum.de", role = c("ctb"), comment = c(ORCID = "0000-0002-2671-5253")), person("Dan", "Chaltiel", role = c("ctb")), person("John", "Williams", role = c("ctb")), person("Tom", "Elliott", role = c("ctb")) ) URL: https://gdemin.github.io/expss/ BugReports: https://github.com/gdemin/expss/issues 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 Description: 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. VignetteBuilder: knitr LazyData: yes License: GPL (>= 2) RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://gdemin.r-universe.dev Date/Publication: 2025-10-15 09:01:41 UTC RemoteUrl: https://github.com/gdemin/expss RemoteRef: HEAD RemoteSha: edc74489563551d78b4f9801c755d32a26249940 NeedsCompilation: no Packaged: 2026-06-20 06:54:16 UTC; root Author: Gregory Demin [aut, cre], Sebastian Jeworutzki [ctb] (ORCID: ), Dan Chaltiel [ctb], John Williams [ctb], Tom Elliott [ctb]