Dear all.
I am trying to analyze my data with an anova, using aov, and the result looks
like this
> my_data<-read.csv(file.choose(),header=T,dec=".",sep=";")
> attach(my_data)
> names(my_data)
[1] "Site" "Obstacle" "Treatment" "Dist_Obstacle"
"Dist_start" "Transect" "Mainplot" "Obsplot" "Species1"
"Species2" "Species3"
[12] "Species4" "Species5" "Species6" "Species7"
"Species8" "Species9" "Species10" "Species11" "Species12"
"Species13" "Species14"
[23] "Species15" "Species16" "Species_change" "channge_index"
"Waterdata" "litter" "bare.soil"
> aov_data<-aov(Species1~Site+Obstacle+Treatment+as.factor(Dist_Obstacle)+as.factor(Dist_start)+Transect+Mainplot+Obsplot)
> aov_data
Call:
aov(formula = Species1 ~ Site + Obstacle + Treatment +
as.factor(Dist_Obstacle) +
as.factor(Dist_start) + Transect + Mainplot + Obsplot)
Terms:
Site Obstacle Treatment as.factor(Dist_Obstacle)
as.factor(Dist_start) Transect Obsplot Residuals
Sum of Squares 2143.984 446.274 340.042 736.073
173.707 800.270 4014.378 17238.625
Deg. of Freedom 2 1 1 4
3 10 60 271
Residual standard error: 7.97566
27 out of 109 effects not estimable
Estimated effects may be unbalanced
My question is why do I get "effects not estimable", and "effects may be
unbalanced). I have checked the data and it is balanced.
I have attached the data to the question and would be greatly thankful for any
help in understanding the output.
Best regards,
Petter
___________________________________
NOCC, http://nocc.sourceforge.net
--
This email was Anti Virus checked by Astaro Security Gateway.
http://www.astaro.com
> my_data<-read.csv(file.choose(),header=T,dec=".",sep=";")
> attach(my_data)
> names(my_data)
[1] "Site" "Obstacle" "Treatment" "Dist_Obstacle"
"Dist_start" "Transect" "Mainplot" "Obsplot" "Species1"
"Species2" "Species3"
[12] "Species4" "Species5" "Species6" "Species7"
"Species8" "Species9" "Species10" "Species11" "Species12"
"Species13" "Species14"
[23] "Species15" "Species16" "Species_change" "channge_index"
"Waterdata" "litter" "bare.soil"
> aov_data<-aov(Species1~Site+Obstacle+Treatment+as.factor(Dist_Obstacle)+as.factor(Dist_start)+Transect+Mainplot+Obsplot)
> aov_data
Call:
aov(formula = Species1 ~ Site + Obstacle + Treatment +
as.factor(Dist_Obstacle) +
as.factor(Dist_start) + Transect + Mainplot + Obsplot)
Terms:
Site Obstacle Treatment as.factor(Dist_Obstacle)
as.factor(Dist_start) Transect Obsplot Residuals
Sum of Squares 2143.984 446.274 340.042 736.073
173.707 800.270 4014.378 17238.625
Deg. of Freedom 2 1 1 4
3 10 60 271
Residual standard error: 7.97566
27 out of 109 effects not estimable
Estimated effects may be unbalanced______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
