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expss (version 0.7.1)

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

Description

Package provides tabulation functions with support of 'SPSS'-style labels, multiple / nested banners, weights and multiple-response variables. Additionally it offers useful functions for data processing in the social / marketing research surveys - popular data transformation functions from 'SPSS' Statistics ('RECODE', 'COUNT', 'COMPUTE', 'DO IF', etc.) and 'Excel' ('COUNTIF', 'VLOOKUP', etc.). Proper methods for labelled variables add value labels support to base R and other packages. Package aimed to help people to move data processing from 'Excel'/'SPSS' to R.

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Version

Install

install.packages('expss')

Monthly Downloads

9,257

Version

0.7.1

License

GPL (>= 2)

Maintainer

Gregory Demin

Last Published

April 9th, 2017

Functions in expss (0.7.1)

Add rows to data.frame/matrix/table

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

Criteria functions

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

Cross-tabulation with custom summary function.

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

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

Recode vector into numeric vector with value labels

Aggregate dataset by grouping variable(s).

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

Options for contolling behaviour of the package

Convert labelled variable to factor

Create an HTML table widget for usage with Shiny

default_dataset

Get or set reference to default dataset. Experimental feature.

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

Provides variables description for dataset

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

Compute nested variable from several variables

Create multiple response set/multiple dichotomy set from variables

Replace certain values with NA

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

Merge two tables/data.frames

Sort data.frames/matrices/vectors

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

Deprecated functions (don't use them)

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

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

htmlTable.etable

Outputting HTML tables in RStudio viewer/R Notebooks

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

Partially (inside blocks) sort tables/data.frames

Read an SPSS Data File

Auxiliary functions to pass arguments to function by reference

Functions for tables constraction

Drop variable label and value labels

Function over grouping variables (window function)

drop_empty_rows

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

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

Replace NA values in vector/data.frame/matrix/list with supplied value

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

Write data with labels to file in R code or in SPSS syntax.

Data from product test of chocolate confectionary

Set or get value labels

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

Compute various weighted statistics

Experimental functions for operations with default dataset

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

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

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

Look up values in dictionary.

Compute proportions from numeric vector/matrix/data.frame

Create vector of characters from unquoted strings (variable names)

Set or get variable label

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