Re: [R] smooth spline with R

e.g... b <- gam(Y~s(X)) ## fit gam.check(b) ## check fitted(b) ## fitted values predict(b,newdata=data.frame(X=c(15,16))) ## predictions at new X see ?predict.gam On 14/03/14 23:24, Parviz Zare wrote: Dear Sir, How I can obtain the predicted values of Y variable with fitting smooth

Re: [R] smooth spline with R

Dear Sir, How I can obtain the predicted values of Y variable with fitting smooth spline regressions (in GAMs) using R software? in my research, temperature (X variable) is as smoother and fish catch values (Y variable) is as response variable. I would be grateful if you could help me.  

Re: [R] Smooth Spline

maybe not the optimal but it works: > Hi, > > I have three original curves as follows, > n<-seq(20,200,by=10) > > t<-c(0.1138, 0.1639, 0.2051, 0.2473, 0.2890, 0.3304, 0.3827, 0.4075, > 0.4618, 0.4944, > 0.5209, 0.5562, 0.5935, 0.6197, 0.6523, 0.6771, 0.6984, 0.7209, 0.7453) > > es<-c(0.3682, 0.426

[R] Smooth Spline

Hi, I have three original curves as follows, n<-seq(20,200,by=10) t<-c(0.1138, 0.1639, 0.2051, 0.2473, 0.2890, 0.3304, 0.3827, 0.4075, 0.4618, 0.4944, 0.5209, 0.5562, 0.5935, 0.6197, 0.6523, 0.6771, 0.6984, 0.7209, 0.7453) es<-c(0.3682, 0.4268, 0.5585, 0.6095, 0.7023, 0.7534, 0.8225, 0.8471, 0.