spe.MCA: Specific MCA
In joelgombin/ggplot.acm: ggplot2 plots made easy for Multiple correspondence analysis (MCA)
Description
Usage
Arguments
Value
Author(s)
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)
quali.sup
index of the supplementary variables
excl.sup
list of indexes of "junk" categories of supplementary variables
Value
an object of class 'MCA' or 'spMCA', in a similar way as FactoMineR MCA function
Author(s)
Nicolas Robette & Jo<c3><ab>l Gombin <joel.gombin@gmail.com>
joelgombin/ggplot.acm documentation built on May 19, 2019, 3 p.m.
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Description Usage Arguments Value Author(s)
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) |
quali.sup |
index of the supplementary variables |
excl.sup |
list of indexes of "junk" categories of supplementary variables |
Value
an object of class 'MCA' or 'spMCA', in a similar way as FactoMineR MCA function
Author(s)
Nicolas Robette & Jo<c3><ab>l Gombin <joel.gombin@gmail.com>
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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