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Realise the optimised graph of supplementary variables
graphSup(res, file = "", dim = 1:2, Mselec = "cos2", Mcoef = 1,
figure.title = "Figure", graph = TRUE, cex = 0.7, options=NULL)
an object of class PCA, CA or MCA.
the file path where to write the description in Rmarkdown language. If not specified, the description is written in the console.
a 2 dimensional numerical vector giving the factorial dimensions to use for the representation (by default the first plane).
the supplementary variables to select ; see the details section.
a numerical coefficient to adjust the supplementary variables selection rule ; see the details section.
the text label to add before graph title.
a boolean : if TRUE, graphs are plotted.
an optional argument for the generic plot functions, used to adjust the size of the elements plotted.
a character string that gives the output options fir the figures.
If NULL, options="r, echo = FALSE, fig.align = 'center', fig.height = 3.5, fig.width = 5.5" for linux and Mac
and options="r, echo = FALSE, fig.height = 3.5, fig.width = 5.5" for Windows
Simon Thuleau and Francois Husson
The Mselec argument is used in order to select a part of the illustrative variables that are drawn and described. For example, you can use either :
- Mselec = 1:5 then the illustrative variables numbered 1 to 5 are drawn.
- Mselec = c("name1","name5") then the illustrative variables named name1 and name5 are drawn.
- Mselec = "cos2 5" then the 5 illustrative variables that have the highest cos2 on the 2 dimensions of the plane are drawn.
- Mselec = "cos2 0.8" then the illustrative variables that have a cos2 higher to 0.8 on the plane are drawn.
- Mselec = "cos2" then the optimal number of illustrative variables that have the highest cos2 on the 2 dimensions of the plane are drawn.
The Mcoef argument is used in order to adjust the selection of the illustrative variables when based on Mselec = "cos2". For example :
- if Mcoef = 2, the threshold is 2 times higher, and thus 2 times more restrictive.
- if Mcoef = 0.5, the threshold is 2 times lower, and thus 2 times less restrictive.
factoGraph, graphInd, graphHab, graphCA, graphVar
if (FALSE) {
require(FactoMineR)
data(decathlon)
res.pca = PCA(decathlon, quanti.sup = c(11:12), quali.sup = c(13), graph = FALSE)
graphSup(res.pca)
}
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