Displaying 3 results from an estimated 3 matches for "disbinary".
2007 Dec 13
1
Probelms on using gam(mgcv)
Dear all,
Following the help from gam(mgcv) help page, i tried to analyze my
dataset with all the default arguments. Unfortunately, it can't be run
successfully. I list the errors below.
#m.gam<-gam(mark~s(x,y)+s(lstday2004)+s(slope)+s(ndvi2004)+s(elevation)+s(disbinary),family=binomial(logit),data=point)
m.gam<-gam(mark~s(x,y,k=10)+s(lstday2004,k=10)+s(slope,k=10)+s(ndvi2004,k=10)+s(elevation,k=10)+s(disbinary,k=10),family=binomial(logit),data=point)
> m.gam<-gam(mark~s(x.1,y.1,k=10)+s(lstday2004,k=10)+s(slope,k=10)+s(ndvi2004,k=10)+s(elevation,k=10)+s...
2007 Dec 12
0
Hep on using GAM() in R
...ated.
# My programs and problems are list below#
library(splines)
library(gam)
point<-read.csv("d:/gam.csv",sep=",",header=TRUE) #read the data
gam.opt<-gam(mark~lo(x,y,span=0.2)+lo(lstday2004,span=0.2)+lo(slope,span=0.2)+lo(ndvi2004,span=
0.2)+lo(elevation,span=0.2)+disbinary,
family=binomial(logit),data=point) #span
is 0.2
#when you run the above codes, 30 warnings() appear
> warnings()
Warning message$B!'(B
1: In lo.wam(x, z, wz, fit$smooth, which, fit$smooth.frame, ... :
lo.wam convergence not obtained in 30 iterations
2: In lo.wam(x, z, wz, fit$s...
2007 Dec 13
1
Two repeated warnings when runing gam(mgcv) to analyze my dataset?
Dear all,
I run the GAMs (generalized additive models) in gam(mgcv) using the
following codes.
m.gam
<-gam(mark~s(x)+s(y)+s(lstday2004)+s(ndvi2004)+s(slope)+s(elevation)+disbinary,family=binomial(logit),data=point)
And two repeated warnings appeared.
Warnings$B!'(B
1: In gam.fit(G, family = G$family, control = control, gamma = gamma, ... :
Algorithm did not converge
2: In gam.fit(G, family = G$family, control = control, gamma = gamma, ... :
fitted probabilities...