search for: testrfemmalbivariat1

...0 0 1 4 Anth_gram1 1 0 0 1 0 1 0 0 1 NA NA NA NA 0 0 0 0 1 0 0 0 5 Anth_insi1 1 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 1 All columns are binary coded characters. The Import was done by this Test<-read.table("TestRFemMalBivariat1.csv",header = TRUE, sep = ";") Now I try to perform a similarity analysis with the dsvdis function of the labdsv package with the sorensen-Index. My first question is if all zeros in my table are seen as missing values and if it islike that how can I change without turning zero...

...A NA NA 0 >> 0 0 0 1 0 0 0 >> 5 Anth_insi1 1 0 0 1 0 1 0 0 1 0 0 0 1 0 >> 0 0 0 1 0 0 1 >> >> All columns are binary coded characters. >> The Import was done by this >> >> Test<-read.table("TestRFemMalBivariat1.csv",header = TRUE, sep = ";") > > First - you need to transpose the matrix to have species as > columns. You can do > this with: > > d2 = data.frame(t(Test[,-1])) > colnames(d2) = Test[,1] #now use d2 > > > >> Now I try to perform a similarity...