[R] Help_urgent_how to calculate mean and sd in biomod 2
Lara Dutra Silva
laradutrasilva at gmail.com
Sat Oct 21 02:11:26 CEST 2017
Hello
I am new in R. I am trying to implement Biomod 2 package.
However, I have a doubt. I want to calculate the mean and sd of
"Testing.data"
(ROC and TSS)
> # let's print the ROC scores of all selected models
> myBiomodModelEval_55["ROC","Testing.data",,,]
RUN1 RUN2 RUN3 RUN4 RUN5 RUN6 RUN7 RUN8 RUN9 RUN10
0.938 0.938 0.926 0.931 0.939 0.918 0.920 0.914 0.935 0.919
>
> # let's print the TSS scores
> myBiomodModelEval_55["TSS","Testing.data",,,]
RUN1 RUN2 RUN3 RUN4 RUN5 RUN6 RUN7 RUN8 RUN9 RUN10
0.746 0.763 0.717 0.758 0.754 0.704 0.700 0.725 0.742 0.721
>
I try to use "apply"
apply(myBiomodModelEval_55["TSS","Testing.data",,,], 1, mean)
apply(myBiomodModelEval_55["ROC","Testing.data",,,],1, mean)
apply(myBiomodModelEval_55["ROC","Testing.data",,,], 1, sd)
apply(myBiomodModelEval_55["TSS","Testing.data",,,], 1, sd)
I can not figure it out because it runs error.
The problem is in the dimension?
Error in apply(myBiomodModelEval_55["TSS", "Testing.data", , , ], 1, mean) :
dim(X) must have a positive length
>
How can I solve this?
This is the structure of object
> dimnames(myBiomodModelEval_55)
[[1]]
[1] "ROC" "TSS"
[[2]]
[1] "Testing.data" "Cutoff" "Sensitivity" "Specificity"
[[3]]
[1] "GAM"
[[4]]
[1] "RUN1" "RUN2" "RUN3" "RUN4" "RUN5" "RUN6" "RUN7" "RUN8" "RUN9"
[10] "RUN10"
[[5]]
Acacia_AllData
"AllData"
Regards,
Silva
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