search for: can3

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2007 Dec 27
1
Lda and Qda
Hi all, I'm working with some data: 54 variables and a column of classes, each observation as one of a possible seven different classes: > var.can3<-lda(x=dados[,c(1:28,30:54)],grouping=dados[,55],CV=TRUE) Warning message: In lda.default(x, grouping, ...) : variables are collinear > summary(var.can3) Length Class Mode class 30000 factor numeric ### why?? I don't understand it posterior 210000 -none- numeric call...
2008 Mar 31
1
unexpected GAM result - at least for me!
...ng to model presence / absence (presence = 1, absence = 0) of a species using some lidar metrics (i have 4 of these). I am using different models and such .... and when i used gam i got this very weird (for me) result which i thought it is not possible - or i have no idea how to interpret it. > can3.gam <- gam(can>0~s(be)+s(crr)+s(ch)+s(home), family = 'binomial') > summary(can3.gam) Family: binomial Link function: logit Formula: can> 0 ~ s(be) + s(crr) + s(ch) + s(home) Parametric coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 85.39 16...
2007 Sep 12
0
constructing an lm() formula in a function
...4 levels "1","2","3","4": 1 2 3 4 1 2 3 4 1 2 ... $ Gp : Factor w/ 12 levels "D0","D1","D3",..: 9 9 9 9 10 10 10 10 11 11 ... $ Can1 : num 8.87 5.57 6.31 7.01 6.64 ... $ Can2 : num -3.76 -4.78 -4.63 -4.06 -3.13 ... $ Can3 : num 1.241 -0.561 -1.299 0.642 2.217 ... $ Can4 : num 1.313 -0.402 -1.631 2.481 0.384 ... $ Can5 : num -1.913 -1.103 -0.428 1.134 -0.937 ... $ Can6 : num -0.4219 -0.3593 1.2070 0.0652 -0.6424 ... $ Can7 : num 0.701 0.243 -0.728 1.147 -0.149 ... $ Can8 : num 0.0728 1.4...