I am writing my bachelor thesis atm and today I found a problem in my indicator analysis.
So I'm trying to find out which species is predominantely found in one area. The areas are devided in 1 and 2.
Whenever I run the indicator analysis the results differ, even though I am using the same data. So sometimes the significant indicator distrubution is 1= 5 & 2 = 9, then it's 1 = 4 & 2 = 9 or 1 = 5 & 2 = 11
So my question is: is that normal? If so, why?
Thank you so much for reading and helping me!
All the Best from Berlin, Germany!
Here is my code:
Note: Arten is basically all vegetation data from each patch and TRArten are dry grassland species from each patch
Arten<-read.table("Artenliste.txt", header = TRUE, stringsAsFactors = TRUE, dec = ",", row.names = 1)
TRArten<-read.table("Trockenrasenarten.txt", header = TRUE, stringsAsFactors = TRUE, dec = ",", row.names = 1)
Arten_on<-summary(indval(Arten, Age, numitr= 1000))
Trockenrasen_on<-summary(indval(TRArten, Age, numitr= 1000))
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