`install.packages('expss')`

10,985

0.11.6

GPL (>= 2)

July 15th, 2023

do_repeat

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

drop_empty_rows

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

expss.options

Options for controlling behavior of the package

criteria

Criteria functions

cross_fun

Cross-tabulation with custom summary function.

fctr

Convert labelled variable to factor

count_if

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

compute

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

expss

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

cross_cases

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

keep

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

if_na

Replace values with NA and vice-versa

mrset

Create multiple response set/multiple dichotomy set from variables

name_dots

Bug workaround

info

Provides variables description for dataset

match_row

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

fre

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

names2labels

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

merge.etable

Merge two tables/data.frames

htmlTable.etable

Outputting HTML tables in RStudio viewer/R Notebooks

prop

Compute proportions from numeric vector/matrix/data.frame

product_test

Data from product test of chocolate confectionary

prepend_values

Prepend values/variable names to value/variable labels

nest

Compute nested variable(-s) from several variables

reexports

Objects exported from other packages

net

Add subtotal to a set of categories

read_spss

Read an SPSS Data File

recode

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

qc

Create vector of characters from unquoted strings (variable names)

set_caption

Add caption to the table

text_to_columns

Make data.frame from text

unlab

Drop variable label and value labels

tab_sort_asc

Partially (inside blocks) sort tables/data.frames

split_labels

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

split_by

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

sort_asc

Sort data.frames/matrices/vectors

sheet

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

sum_row

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

tab_significance_options

Mark significant differences between columns in the table

tables

Functions for custom tables construction

weight_by

Create dataset according to its frequency weights

vectors

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

window_fun

Function over grouping variables (window function)

write_labelled_csv

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

vars

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

w_mean

Compute various weighted statistics

var_lab

Set or get variable label

where

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

xl_write

Write tables and other objects to an xlsx file with formatting

values2labels

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

val_lab

Set or get value labels

apply_labels

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

add_rows

Add rows to data.frame/matrix/table

as.labelled

Recode vector into numeric vector with value labels

as_huxtable.etable

Convert table to huxtable

as.etable

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

as.datatable_widget

Create an HTML table widget for usage with Shiny

as.dichotomy

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

as.category

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

compare_proportions

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

add_columns

Add columns to data.frame.