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soc.ca (version 0.8.2)

Specific Correspondence Analysis for the Social Sciences

Description

Specific and class specific multiple correspondence analysis on survey-like data. Soc.ca is optimized to the needs of the social scientist and presents easily interpretable results in near publication ready quality.

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Install

install.packages('soc.ca')

Monthly Downloads

30

Version

0.8.2

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/Rsoc/soc.ca

Maintainer

Anton Larsen

Last Published

September 4th, 2026

Functions in soc.ca (0.8.2)

breakdown.variance

Breakdown of variance by group

Extract individuals

Explore the cloud of individuals

indicator.to.long

Pivot the indicator matrix from an MCA to long format

Exports the labels of a soc.ca object into a csv file.

Calculate contributions per heading

get.category.relations

Get and calculate the relationships and oppositions between each pair of categories

Extract coordinates for the categories from an soc.mca

Invert the direction of coordinates

Map the active modalities

Density plot for the cloud of individuals

Indicator matrix

Map the supplementary modalities

Cut a continuous variable into categories with a specified minimum

Moschidis example

Concentration ellipses

Map select modalities and individuals

Add points to an existing map created by one of the soc.ca mapping functions.

Map path along an ordered variable

Extract supplementary categories from an soc.mca

Map all modalities

Compare MCA's with triads

rename_aes We import this function from ggplot2 because it is not exported.

Soc.ca a package for specific correspondence analysis

map.csa.mca.array

Class Specific Multiple Correspondence Analysis

soc.mca soc.mca performs a specific multiple correspondence analysis on a data.frame of factors, where cases are rows and columns are variables.

Map the most contributing modalities

mca.eigen.check

MCA Eigenvalue check

Create the base of a soc.ca map

Print soc.ca objects

political_space97

French Political Space example

map.ellipse.array

Check if data is valid for soc.mca

Remove unnecessary variables from an MCA

Map the individuals of a soc.ca analysis

Create a randomized mca on the basis of an existing mca

supplementary.categories

Supplementary coordinates for a data.frame of factors

Map the coordinates of the individuals in a CSA and its MCA

Array of several CSA maps

supplementary.individuals

Add supplementary individuals to a result object

Convert to MCA class from FactoMineR

The Field of the Danish Power Elite

Add a new layer of points on top of an existing plot with output from the min_cut function

Average coordinates

add.category.relations

Add category relations to a soc.ca plot

Add a layer with concentration ellipses to an mca map.

add.quadrant.labels

Annotate labels to the quadrants of an MCA or any ggplot2 based quadrant plot.

Assign new labels

Add values to label

Add a layer with density curves to an mca map.

Add a layer of categories (modalities) to an mca map

Add a layer of cases (individuals) to an mca map

Calculate concentraion ellipses

Export results from soc.ca

Multiple Class Specific Correspondence Analysis on all values in a factor

create.quadrant

Create categories according to the quadrant position of each individual

Directors dataset

Summaries of contribution values

Cut ordinal variables

Contribution balance