Package: expss
Type: Package
Title: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Version: 0.11.6
Maintainer: Gregory Demin <gdemin@gmail.com>
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: 7.2.3
