Description Usage Arguments Value Examples
Computes PERMANOVA with vegan using multiple group information
1 | Multi_Perm(Data, Classification, method = "bray")
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Data |
csv file with Header as False First column with Sample Second column with Multilevel(Mixomics) so that it can be compatible with other multivariate statistics Third column with Group information. Rest of the columns are the metabolites to be tested. |
Classification |
csv file with Header as False ;First column with Sample; every other column can be used to indicate multiple classifiers |
method |
Dissimilarity index c("manhattan", "euclidean", "canberra", "clark", "bray", "kulczynski", "jaccard", "gower", "altGower", "morisita", "horn", "mountford", "raup", "binomial", "chao", "cao", "mahalanobis", "chisq",chord") |
vegan::adonis2(Dist_Met~Group,method = "bray",by = NULL,data = x_y_coord_G)
1 2 3 4 | data(Data)
data(Classification)
Result<-Multi_Perm(Data,Classification)
Note that the code recognizes each class as a factor.
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