Displaying 2 results from an estimated 2 matches for "lmbroadst".
2008 Sep 10
1
bootstrapping - number of items to replace is not a multiple of replacement length
..."datare80" is the name of the data.frame and "woodycover" is the response
variable
theta <- function(datare80, indices) {
d <- datare80[indices, ] # allows boot to select subsample
datasets
full <- lm(d$woodycover~ ., data= d )
lmbroadst <- step(full, data=d , direction = "both", k=2,
trace=0)
coefficients(lmbroadst) # return coef. vector
}
resb <- boot(data = datare80, statistic = theta, R=1000)
When I run it, I get these two messages:
If I omit the last line "coefficients(lmbroadst)...
2010 Mar 19
0
relaimpo - dummy variable
...related to the function "boot.relimp" (package relaimpo).
I have a model with numerical predictors and one dummy (class) variable. I
would like to calculate the relative importance of the predictors but I have
some problems with the dummy variable.
The name of the linear model is "lmbroadst.lc" and the dummy variable is
"datacon.landcover_gb" (with 7 levels). I write the command as:
boot <- boot.relimp(lmbroadst.lc, b = 500, type = c("lmg", "last", "first"),
rank = TRUE, group = datacon.landcover_gb,
diff = TRUE, rela = TRUE)
The err...