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expss (version 0.11.4)

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

9,052

Version

0.11.4

License

GPL (>= 2)

Maintainer

Last Published

November 5th, 2022

Functions in expss (0.11.4)

Add rows to data.frame/matrix/table

Add columns to data.frame.

Recode vector into numeric vector with value labels

Options for controlling behavior of the package

Convert labelled variable to factor

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

drop_empty_rows

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

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

Cross-tabulation with custom summary function.

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

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

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

Criteria functions

Replace values with NA and vice-versa

Merge two tables/data.frames

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

Create multiple response set/multiple dichotomy set from variables

Provides variables description for dataset

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

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

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

htmlTable.etable

Outputting HTML tables in RStudio viewer/R Notebooks

Objects exported from other packages

Compute proportions from numeric vector/matrix/data.frame

Prepend values/variable names to value/variable labels

Compute nested variable(-s) from several variables

Create vector of characters from unquoted strings (variable names)

Add subtotal to a set of categories

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

Read an SPSS Data File

Add caption to the table

Data from product test of chocolate confectionary

Sort data.frames/matrices/vectors

Partially (inside blocks) sort tables/data.frames

tab_significance_options

Mark significant differences between columns in the table

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

Functions for custom tables construction

Drop variable label and value labels

text_to_columns

Make data.frame from text

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

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

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

Set or get variable label

Create dataset according to its frequency weights

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

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

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

Set or get value labels

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

Compute various weighted statistics

Write tables and other objects to an xlsx file with formatting

Function over grouping variables (window function)

write_labelled_csv

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

compare_proportions

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

as_huxtable.etable

Convert table to huxtable

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

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

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