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expss (version 0.8.7)

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

Description

Package provides tabulation functions with support for 'SPSS'-style labels, multiple / nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', R notebooks, 'Shiny' and 'Jupyter' notebooks. Proper methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package offers useful functions for data processing in marketing research / social surveys - popular data transformation functions from 'SPSS' Statistics ('RECODE', 'COUNT', 'COMPUTE', 'DO IF', etc.) and 'Excel' ('COUNTIF', 'VLOOKUP', etc.). Package is intended 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

0.8.7

License

GPL (>= 2)

Maintainer

Gregory Demin

Last Published

June 14th, 2018

Functions in expss (0.8.7)

Experimental functions for operations with default dataset

Create vector of characters from unquoted strings (variable names)

Criteria functions

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

Compute proportions from numeric vector/matrix/data.frame

default_dataset

Get or set reference to default dataset. Experimental feature.

Provides variables description for dataset

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

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

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

Data from product test of chocolate confectionary

Cross-tabulation with custom summary function.

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

Prepend values/variable names to value/variable labels

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

Convert labelled variable to factor

Create multiple response set/multiple dichotomy set from variables

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

htmlTable.etable

Outputting HTML tables in RStudio viewer/R Notebooks

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

Merge two tables/data.frames

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

Partially (inside blocks) sort tables/data.frames

Set or get value labels

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

Sort data.frames/matrices/vectors

Replace certain values with NA

tab_significance_options

Mark significant differences between columns of the table

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

Function over grouping variables (window function)

Read an SPSS Data File

Make data.frame from text

Auxiliary functions to pass arguments to function by reference

Compute nested variable(-s) from several variables

Objects exported from other packages

Functions for custom tables construction

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

Drop variable label and value labels

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

Compute various weighted statistics

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

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

Set or get variable label

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

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

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

Look up values in dictionary.

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

compare_proportions

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

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

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

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

as.datatable_widget

Create an HTML table widget for usage with Shiny

Add rows to data.frame/matrix/table

Aggregate dataset by grouping variable(s).

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

Recode vector into numeric vector with value labels

drop_empty_rows

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

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

Options for controlling behavior of the package