search for: treecover

Displaying 5 results from an estimated 5 matches for "treecover".

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2009 Jan 26
1
glm StepAIC with all interactions and update to remove a term vs. glm specifying all but a few terms and stepAIC
Problem: I am sorting through model selection process for first time and want to make sure that I have used glm, stepAIC, and update correctly. Something is strange because I get a different result between: 1) a glm of 12 predictor variables followed by a stepAIC where all interactions are considered and then an update to remove one specific interaction. vs. 2) entering all the terms
2009 Jul 13
2
Help me get this function to work...
...for (i in 1:751){ if (TotalCover.df[i,"Station"]>=ShrubCover.df[j,"Start"] && TotalCover.df[i,"Station"]<= ShrubCover.df[j,"Stop"]) TotalCover.df[i,"Shrub"]<- 1 } } TreeCover.df<-Tree.df[Tree.df$Quadrat==ID,] for (j in 1:length(TreeCover.df[,"Quadrat"])){ for (i in 1:751){ if (TotalCover.df[i,"Station"]>=TreeCover.df[j,"Start"] && TotalCover.df[i,"Station"]<= TreeCover.df[j,&...
2009 Jul 13
1
Help get this simple function to work...
...for (i in 1:751){ if (TotalCover.df[i,"Station"]>=ShrubCover.df[j,"Start"] && TotalCover.df[i,"Station"]<= ShrubCover.df[j,"Stop"]) TotalCover.df[i,"Shrub"]<- 1 } } TreeCover.df<-Tree.df[Tree.df$Quadrat==ID,] for (j in 1:length(TreeCover.df[,"Quadrat"])){ for (i in 1:751){ if (TotalCover.df[i,"Station"]>=TreeCover.df[j,"Start"] && TotalCover.df[i,"Station"]<= TreeCover.df[j,&...
2012 Jan 11
2
Vegan(ordistep) error: Error in if (aod[1, 5] <= Pin) { : missing value where TRUE/FALSE needed
I am getting the following erro rmessage in ordistep. I have a number of similarly structured datasets using ordistep in a loop, and the message only occurs for some of the datasets. I cannot include a reproducible sample - the specific datasets where this is occur ing are fairly large and there are several pcnm's in the rhs of the formula. thanks for any pointers that may allow me to
2012 Jan 10
0
Error message in vegan ordistep
I am getting the following erro rmessage in ordistep. I have a number of similarly structured datasets using ordistep in a loop, and the message only occurs for some of the datasets. I cannot include a reproducible sample - the specific datasets where this is occur ing are fairly large and there are several pcnm's in the rhs of the formula. thanks for any pointers that may allow me to