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categorical vars in gam
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library(mgcv) | |
# From the man page without categorical. | |
set.seed(2) ## simulate some data... | |
dat <- gamSim(1,n=400,dist="normal",scale=2) | |
b <- gam(y~s(x0)+s(x1)+s(x2)+s(x3),data=dat) | |
summary(b) | |
plot(b,pages=1,residuals=TRUE) ## show partial residuals | |
preds <- predict(b, newdata = dat) | |
# Now add categorical | |
dat2 <- cbind(dat, | |
categ = factor(sample(letters[1:3], nrow(dat), replace = TRUE)), | |
categ2 = factor(sample(letters[1:3], nrow(dat), replace = TRUE))) | |
b2 <- gam(y~s(x0)+s(x1)+s(x2)+s(x3) + categ + categ2, data = dat2) | |
summary(b2) | |
plot(b2, pages=1, residuals=TRUE) ## show partial residuals | |
preds <- predict(b2, newdata = dat2) | |
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