map.csa.mca: Map the coordinates of the individuals in a CSA and its MCA In soc.ca: Specific Correspondence Analysis for the Social Sciences

Description

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

Usage

 ```1 2 3 4 5 6 7``` ```map.csa.mca( csa.object, mca.dim = 1, csa.dim = 1, smooth = TRUE, method = "auto" ) ```

Arguments

 `csa.object` a result object created by the soc.csa function `mca.dim` the dimension from the original MCA `csa.dim` the dimension from the CSA `smooth` if TRUE a line is added to the plot `method` the method used by ggplot to set the line see geom_smooth

Examples

 ```1 2 3``` ```example(soc.csa) csa.res <- soc.csa(result, class.age) map.csa.mca(csa.res, mca.dim = 2, csa.dim = 1) ```

Example output

```Loading required package: ggplot2

soc.cs> example(soc.ca)

soc.ca> data(taste)

soc.ca> # Create a data frame of factors containing all the active variables
soc.ca> taste          <- taste[which(taste\$Isup == 'Active'), ]

soc.ca> attach(taste)

soc.ca> active         <- data.frame(TV, Film, Art, Eat)

soc.ca> sup            <- data.frame(Gender, Age, Income)

soc.ca> detach(taste)

soc.ca> # Runs the analysis
soc.ca> result         <- soc.mca(active, sup)

soc.cs> class.age    <- which(taste\$Age == '55-64')

soc.cs> res.csa      <- soc.csa(result, class.age)

soc.cs> res.csa
Class Specific Multiple Correspondence Analysis:

Statistics                                   Scree plot
Active dimensions:                            10  |  1.     44.7%   **********************
Dimensions explaining 80% of inertia:          3  |  2.     24.0%   ************
Active modalities:                            29  |  3.     14.4%   *******
Supplementary modalities:                      0  |  4.      6.8%   ****
Individuals:                                 183  |  5.      4.9%   **
Share of passive mass:                         0  |  6.      2.3%   *
Number of passive modalities:                  0  |  7.      1.7%   *

The 4 active variables: [No. modalities - share of variance]

TV [8 - 28%]            Film [8 - 28%]             Art [7 - 24%]
Eat [6 - 20%]
`geom_smooth()` using method = 'loess' and formula 'y ~ x'
```

soc.ca documentation built on Sept. 5, 2021, 5:21 p.m.