Description Usage Arguments Value Examples
function for Multidimensional scaling and external cluster-based analysis of Maldi_Tof spectra
1 |
df_m: |
dataframe containing peaks and metadata |
dist: |
distances: "euclidean" (default value), "maximum", "manhattan", "canberra", "binary" or "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 the chosen categorical variable catVar1, examples: "Lactobacillus" ("Genre"), Taxonomie("Pediococcus pentosaceus"), "Erica cinerea" ("Nutrition"),... |
grah: |
graphs: "lab_mdsGroups" (default value), "mdsGroups" |
figures and statistics
1 2 3 4 | SMDS(df_Peaks, varCat1="Genre", value="Lactobacillus", varCat2="Ruche",dist="euclidean", grah="lab_mdsGroups")
SMDS(df_Peaks, varCat1="Genre", value="Lactobacillus" varCat2="Ruche",)
SMDS(df_Peaks, varCat1="Genre", value="Lactobacillus", varCat2="Nutrition")
SMDS(df_Peaks, varCat1="Genre", value="All",varCat2="Taxonomie")
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