spMCA: Specific MCA
In joelgombin/ggplot.acm: ggplot2 plots made easy for Multiple correspondence analysis (MCA)
Description
Usage
Arguments
Value
Author(s)
View source: R/spMCA.R
View source: R/spe.MCA.R
Description
Specific MCA
Usage
1
Arguments
data
a data frame with n rows (individuals) and p columns (categorical variables)
excl
a vector indicating the indexes of the "junk" categories (see the function getindexcat)
ncp
number of dimensions kept in the results (by default 5)
Value
an object of class 'spMCA', in a similar way as FactoMineR MCA function
Author(s)
Nicolas Robette
joelgombin/ggplot.acm documentation built on May 19, 2019, 3 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
View source: R/spMCA.R View source: R/spe.MCA.R
Description
Specific MCA
Usage
1 |
Arguments
data |
a data frame with n rows (individuals) and p columns (categorical variables) |
excl |
a vector indicating the indexes of the "junk" categories (see the function |
ncp |
number of dimensions kept in the results (by default 5) |
Value
an object of class 'spMCA', in a similar way as FactoMineR MCA function
Author(s)
Nicolas Robette
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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