Description Usage Arguments Value
View source: R/HClus_dendrograms.R
clusters and builds dendrograms for isolates selected according to varCat1 levels
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ni, nf: |
first and last columns corresponding to categorical variables (default values, ni=1, nf=10) |
df_m: |
dataframe containing peaks and metadata |
meth: |
hierarchical clustering algorithm ("ward2", default value), other values: "average", "ward.D", "single", "complete", "mcquitty", "median" or "centroid" |
dist: |
distance ("euclidean", default value), "euclidean", "maximum", "manhattan", "canberra", "binary" "minkowski" |
varCat1: |
categorical variable for choosing isolates, examples: "Taxonomie" ,"Genre", "Date.d.analyse" ,"Origine","Ruche", "Nutrition" , "Date.de.récolte" , "Lieu.de.la.ruche" |
value: |
level of catVar1, examples, "Lactobacillus" ("Genre"), Taxonomie("Pediococcus pentosaceus"), "Erica cinerea" ("Nutrition"),... |
nc: |
n of clusters (nc=4, default value) |
dendrogram: |
dendrogram and factor map |
output figures and statistics @examples Lt<-Vizclus(df_Peaks,varCat1="Taxonomie", value="Pediococcus pentosaceus"), Lt<-Vizclus(df_Peaks,varCat1="Ruche", value="VI") Lt<-Vizclus(df_Peaks,varCat1="Nutrition", value="Caraway", nc=2), Lt<-Vizclus(df_Peaks,varCat1="Genre", value="Lactobacillus", nc=4) Lt<-Vizclus(df_Peaks,varCat1="Nutrition", value="All"), Lt<-Vizclus(df_Peaks,varCat1="Nutrition", value="Caraway", nc=3, graph="fm") source: https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/hclust https://www.rdocumentation.org/packages/factoextra/versions/1.0.7/topics/fviz http://www.sthda.com/english/wiki/factoextra-r-package-easy-multivariate-data-analyses-and-elegant-visualization#:~:text=factoextra http://www.sthda.com/english/wiki/beautiful-dendrogram-visualizations-in-r-5-must-known-methods-unsupervised-machine-learning
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