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expss (version 0.5.1)

Some Useful Functions from Spreadsheets and 'SPSS' Statistics

Description

Package implements several popular functions from Excel ('COUNTIF', 'VLOOKUP', etc.) and 'SPSS' Statistics ('RECODE', 'COUNT', etc.). Also there are functions for basic tables with value labels/variable labels support. Package aimed to help people to move data processing from Excel/'SPSS' to R.

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Install

install.packages('expss')

Monthly Downloads

10,894

Version

0.5.1

License

GPL (>= 2)

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Repository

https://github.com/gdemin/expss

Maintainer

Gregory Demin

Last Published

July 7th, 2016

Functions in expss (0.5.1)

expss: Some Useful Functions from Spreadsheets and SPSS Statistics

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

Criteria functions

default_dataset

Get or set reference to default dataset. Experimental feature.

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

Experimental functions for operations with default dataset

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

Convert labelled variable to factor

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

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

Create vector of characters from unquoted strings (variable names)

Provides variables description for dataset

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

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

Read an SPSS Data File

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

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

Modify data.frame/conditionally modify data.frame

Replace certain values with NA

Data from product test of chocolate confectionary

Auxiliary functions to pass arguments to function by reference

Set or get value labels

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

Get range of variables/variables by pattern/by name

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

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

Drop variable label and value labels

Look up values in dictionary.

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

Set or get variable label