Displaying 5 results from an estimated 5 matches for "shrubcov".
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shrubcover
2009 Jul 13
2
Help me get this function to work...
...ames(TotalCover.df)<- c("Station","Shrub","Tree","Invasive","Herb","Litter","Bare")
Shrub.df<-data.df[data.df$Layer=="Shrub",]
Tree.df<-data.df[data.df$Layer=="Tree",]
Cover.fn<-function(ID){
ShrubCover.df<-Shrub.df[Shrub.df$Quadrat==ID,]
for (j in 1:length(ShrubCover.df[,"Quadrat"])){
for (i in 1:751){
if (TotalCover.df[i,"Station"]>=ShrubCover.df[j,"Start"] && TotalCover.df[i,"Station"]<= ShrubCover...
2009 Jul 13
1
Help get this simple function to work...
...es(TotalCover.df)<-
c("Station","Shrub","Tree","Invasive","Herb","Litter","Bare")
Shrub.df<-data.df[data.df$Layer=="Shrub",]
Tree.df<-data.df[data.df$Layer=="Tree",]
Cover.fn<-function(ID){
ShrubCover.df<-Shrub.df[Shrub.df$Quadrat==ID,]
for (j in 1:length(ShrubCover.df[,"Quadrat"])){
for (i in 1:751){
if (TotalCover.df[i,"Station"]>=ShrubCover.df[j,"Start"]
&& TotalCover.df[i,"Station"]<= ShrubCover...
2004 May 24
2
Manova and specifying the model
...ton and the summary.manova() function to get the appropriate summary of test statistics.
I just don't manage to specify my model in the manova() call. How to specify a model with multiple responses and one explanatory factor?
If I type:
pcor.manova<-manova(isol+hcom+habarea+inclin+windprot+shrubcov+herbh+baregr+flowcov~pcor, data=pcor.df)
I always get error messages like:
Error in manova(isol + hcom + habarea + inclin + windprot + shrubcov + :
need multiple response
Can someone help me?
Thanks
Steffi
----------------------------------------
Stefanie von Felten
Käppelistrasse 2...
2004 May 24
1
discriminant analysis
...th the CV=True option I was not able to perform the predict() call. What do I have to do? Or is there no possibility at all? You also need the predicted values to produce a plot of the analysis, as far as I know.
Here my code:
pcor.lda2<-lda(pcor~habarea+hcom+isol+flowcov+herbh+inclin+windprot+shrubcov+baregr, data=pcor.df, CV=T)
table2<-table(pcor.df$pcor, pcor.lda2$class)
table2
#doesn't work, becoause CV=True?
pcor.ld2<-predict(pcor.lda2, dimen=1)$x
plot(pcor.ld2)
plot(pcor.lda2, type="density", dimen=1) #kernel density estimates
I am happy if I get an answer from somebo...
2012 Nov 24
0
Grouped data objects within GLS and Variogram
...("canopy", "litdepth", etc.) one hundred times at 50-cm intervals along a transect ("distanc"). Thus, there are 1,500 rows of data. The raw data file begins:
site landposi replicat distanc canopy litdepth soilmoist shrubcov soildepth
PionB bottom 1 0.5 2 14 0 20 1.82
PionB bottom 1 1 2 20 0...