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expss (version 0.11.6)

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

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.

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Version

Install

install.packages('expss')

Monthly Downloads

10,985

Version

0.11.6

License

GPL (>= 2)

Maintainer

Last Published

July 15th, 2023

Functions in expss (0.11.6)

Repeats the same transformations on a specified set of variables/values

drop_empty_rows

Drop empty (with all NA's) rows/columns from data.frame/table

Options for controlling behavior of the package

Criteria functions

Cross-tabulation with custom summary function.

Convert labelled variable to factor

Count/sum/average/other functions on values that meet a criterion

Modify data.frame/modify subset of the data.frame

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

Cross tabulation with support of labels, weights and multiple response variables.

Keep or drop elements by name/criteria in data.frame/matrix

Replace values with NA and vice-versa

Create multiple response set/multiple dichotomy set from variables

Provides variables description for dataset

Match finds value in rows or columns/index returns value by index from rows or columns

Simple frequencies with support of labels, weights and multiple response variables.

Replace data.frame/list names with corresponding variables labels.

Merge two tables/data.frames

htmlTable.etable

Outputting HTML tables in RStudio viewer/R Notebooks

Compute proportions from numeric vector/matrix/data.frame

Data from product test of chocolate confectionary

Prepend values/variable names to value/variable labels

Compute nested variable(-s) from several variables

Objects exported from other packages

Add subtotal to a set of categories

Read an SPSS Data File

Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.

Create vector of characters from unquoted strings (variable names)

Add caption to the table

text_to_columns

Make data.frame from text

Drop variable label and value labels

Partially (inside blocks) sort tables/data.frames

Split character vector to matrix/split columns in data.frame

Splits data.frame into list of data.frames that can be analyzed separately

Sort data.frames/matrices/vectors

Make data.frame without conversion to factors and without fixing names

Compute sum/mean/sd/median/max/min/custom function on rows/columns

tab_significance_options

Mark significant differences between columns in the table

Functions for custom tables construction

Create dataset according to its frequency weights

Infix operations on vectors - append, diff, intersection, union, replication

Function over grouping variables (window function)

write_labelled_csv

Write labelled data to file or export file to SPSS syntax.

Get variables/range of variables by name/by pattern.

Compute various weighted statistics

Set or get variable label

Subset (filter) data.frames/matrices/vectors/lists

Write tables and other objects to an xlsx file with formatting

Replace vector/matrix/data.frame/list values with corresponding value labels.

Set or get value labels

Set variable labels/value labels on variables in the data.frame

Add rows to data.frame/matrix/table

Recode vector into numeric vector with value labels

as_huxtable.etable

Convert table to huxtable

Convert data.frame/matrix to object of class 'etable'

as.datatable_widget

Create an HTML table widget for usage with Shiny

Convert variable (possibly multiple choice question) to data.frame/matrix of dummy variables.

Convert dichotomy data.frame/matrix to data.frame with category encoding

compare_proportions

Calculate significance (p-values) of differences between proportions/means

Add columns to data.frame.