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expss (version 0.10.7)

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', 'COMPUTE', 'DO IF', '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

0.10.7

License

GPL (>= 2)

Maintainer

Last Published

November 15th, 2020

Functions in expss (0.10.7)

Prepend values/variable names to value/variable labels

Options for controlling behavior of the package

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

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

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

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

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

tab_significance_options

Mark significant differences between columns in the table

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

Merge two tables/data.frames

compare_proportions

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

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

Objects exported from other packages

drop_empty_rows

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

Set or get variable label

Drop variable label and value labels

text_to_columns

Make data.frame from text

Write tables and other objects to an xlsx file with formatting

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

Convert labelled variable to factor

Auxiliary functions to pass arguments to function by reference

Experimental functions for operations with default dataset

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

Add caption to the table

Compute various weighted statistics

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

Add rows to data.frame/matrix/table

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

default_dataset

Get or set reference to default dataset. Experimental feature.

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

as.datatable_widget

Create an HTML table widget for usage with Shiny

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

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

Create multiple response set/multiple dichotomy set from variables

htmlTable.etable

Outputting HTML tables in RStudio viewer/R Notebooks

Cross-tabulation with custom summary function.

Replace values with NA and vice-versa

Create vector of characters from unquoted strings (variable names)

Recode vector into numeric vector with value labels

as_huxtable.etable

Convert table to huxtable

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

Criteria functions

Read an SPSS Data File

Partially (inside blocks) sort tables/data.frames

Provides variables description for dataset

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

Data from product test of chocolate confectionary

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

Compute nested variable(-s) from several variables

Look up values in dictionary.

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

Function over grouping variables (window function)

Functions for custom tables construction

write_labelled_csv

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

Sort data.frames/matrices/vectors

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

Compute proportions from numeric vector/matrix/data.frame

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

Set or get value labels

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

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

Add subtotal to a set of categories