tidy_catdesc: Tidy Catdesc
In HanjoStudy/quotidieR: Everyday functions for my personal use in analytics
Description
Usage
Arguments
Value
Examples
Description
Uses FactoMineR::catdesc function to describe the categories of one factor by categorical variables and/or by quantitative variables
Usage
1
tidy_catdesc(df, cluster)
Arguments
df
data frame to analyse
cluster
cluster column name
Value
list object
Examples
1
2
3
4
5
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7
8
9
library(FactoMineR)
data(iris)
# Principal Component Analysis:
res.pca <- PCA(iris[,1:4], graph=FALSE)
# Clustering, auto nb of clusters:
hc <- HCPC(res.pca, nb.clust=-1)
hc$data.clust %>% tidy_catdesc(., clust)
hc %>% tidy_catdesc()
HanjoStudy/quotidieR documentation built on May 5, 2019, 6:13 p.m.
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Description Usage Arguments Value Examples
Description
Uses FactoMineR::catdesc function to describe the categories of one factor by categorical variables and/or by quantitative variables
Usage
1 | tidy_catdesc(df, cluster)
|
Arguments
df |
data frame to analyse |
cluster |
cluster column name |
Value
list object
Examples
1 2 3 4 5 6 7 8 9 | library(FactoMineR)
data(iris)
# Principal Component Analysis:
res.pca <- PCA(iris[,1:4], graph=FALSE)
# Clustering, auto nb of clusters:
hc <- HCPC(res.pca, nb.clust=-1)
hc$data.clust %>% tidy_catdesc(., clust)
hc %>% tidy_catdesc()
|
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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