Description Usage Arguments Value See Also Examples
View source: R/functions_description.r
Prints commonly used measures used in the analysis of multiple correspondence analysis
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x |
is a soc.ca class object |
... |
further arguments are ignored |
Active dimensions is the number of dimensions remaining after the reduction of the dimensionality of the analysis.
Active modalities is the number of modalities that are not set as passive.
Share of passive mass is the percentage of the total mass that is represented by the passive modalities.
The values represented in the scree plot are the adjusted inertias, see variance
The active variables are represented with their number of active modalities and their share of the total variance/inertia.
soc.mca, contribution
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Loading required package: ggplot2
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)
Specific Multiple Correspondence Analysis:
Statistics Scree plot
Active dimensions: 12 | 1. 47.6% ************************
Dimensions explaining 80% of inertia: 3 | 2. 21.5% ***********
Active modalities: 29 | 3. 11.8% ******
Supplementary modalities: 14 | 4. 7.1% ****
Individuals: 1215 | 5. 5.0% **
Share of passive mass: 0 | 6. 3.0% **
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%]
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