Man pages for Rsoc/soc.ca
Specific Correspondence Analysis for the Social Sciences
| add.cases | Add a layer of cases (individuals) to an mca map |
| add.categories | Add a layer of categories (modalities) to an mca map |
| add.count | Add a new layer of points on top of an existing plot with... |
| add.density | Add a layer with density curves to an mca map. |
| add.ellipse | Add a layer with concentration ellipses to an mca map. |
| add.quadrant.labels | Annotate labels to the quadrants of an MCA or any ggplot2... |
| add.to.label | Add values to label |
| assign.label | Assign new labels |
| average.coord | Average coordinates |
| balance | Contribution balance |
| breakdown.variance | Breakdown of variance by group |
| contribution | Summaries of contribution values |
| cowboy_cut | Cut ordinal variables |
| create.quadrant | Create categories according to the quadrant position of each... |
| csa.all | Multiple Class Specific Correspondence Analysis on all values... |
| csa.measures | CSA measures |
| directors | Directors dataset |
| ellipses | Calculate concentraion ellipses |
| export | Export results from soc.ca |
| export.label | Exports the labels of a soc.ca object into a csv file. |
| extract_cases | Extract individuals |
| extract_cats | Extract coordinates for the categories from an soc.mca |
| extract_sup | Extract supplementary categories from an soc.mca |
| get.category.relations | Get and calculate the relationships and oppositions between... |
| headings | Calculate contributions per heading |
| ind.explorer | Explore the cloud of individuals |
| indicator | Indicator matrix |
| indicator.to.long | Pivot the indicator matrix from an MCA to long format |
| invert | Invert the direction of coordinates |
| map.active | Map the active modalities |
| map.add | Add points to an existing map created by one of the soc.ca... |
| map.array | Array of maps |
| map.ca.base | Create the base of a soc.ca map |
| map.csa.all | Array of several CSA maps |
| map.csa.mca | Map the coordinates of the individuals in a CSA and its MCA |
| map.csa.mca.array | CSA-MCA array |
| map.ctr | Map the most contributing modalities |
| map.density | Density plot for the cloud of individuals |
| map.ellipse | Concentration ellipses |
| map.ellipse.array | Ellipse array |
| map.ind | Map the individuals of a soc.ca analysis |
| map.mod | Map all modalities |
| map.path | Map path along an ordered variable |
| map.select | Map select modalities and individuals |
| map.sup | Map the supplementary modalities |
| mca.eigen.check | MCA Eigenvalue check |
| mca.triads | Compare MCA's with triads |
| min_cut | Cut a continuous variable into categories with a specified... |
| moschidis | Moschidis example |
| pe13 | The Field of the Danish Power Elite |
| pipe | Pipe operator |
| political_space97 | French Political Space example |
| print.soc.mca | Print soc.ca objects |
| prune.mca | Remove unnecessary variables from an MCA |
| randomize.mca | Create a randomized mca on the basis of an existing mca |
| soc.ca | Soc.ca a package for specific correspondence analysis |
| soc.csa | Class Specific Multiple Correspondence Analysis |
| soc.mca | soc.mca 'soc.mca' performs a specific multiple correspondence... |
| supplementary.categories | Supplementary coordinates for a data.frame of factors |
| supplementary.individuals | Add supplementary individuals to a result object |
| taste | Taste dataset |
| to.MCA | Convert to MCA class from FactoMineR |
| variance | Variance table |
| what.is.x | Check if data is valid for soc.mca |
