Thanks Jessi,
your insights are extremely helpful.
If you would indulge me one more quick question on your script.
You have written...
newData<-data.frame(JVeg5=factor(Jdata[,"JVeg5"]),scale(Jdata[,c("Elevation","Lat_Y_pos","Coast_dist","Stream_dist")]))
I wish to expand this analysis for all other variables in my data matrix, of
which one is a factor (and therefore cannot be 'scaled').
Adding these variables to your script...
newData<-data.frame(JVeg5=factor(Jdata[,"JVeg5"]),scale(Jdata[,c("Elevation",
"Slope", "Aspect", "Hillshade", "Lat_Y_pos", "Coast_dist", "Coast_SE",
"Coast_E", "Wind_310", "Stream_dist", "TPI", "Landform", "Rock_Name")]))
...returns the error:
"Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric"
because "Rock_Name" must be numeric to be scaled.
I've tried a couple of options for incorporating this factor (Rock_Name)
into the script without success.
For example:
"newData<-data.frame(JVeg5=factor(Jdata[,"JVeg5"],
Rock_Name=factor(Jdata[,"Rock_Name"]), scale(Jdata[,c("Elevation", "Slope",
"Aspect", "Hillshade", "Lat_Y_pos", "Coast_dist", "Coast_SE", "Coast_E",
"Wind_310", "Stream_dist", "TPI", "Landform")]))"
Do you have a suggestion which might work for this analysis?
Thank you for your support with this, I really appreciate it.
kind regards
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