[R] shorter way of coding

Mintewab Bezabih Mintewab.Bezabih at economics.gu.se
Mon Dec 12 17:24:47 CET 2011

Dear Paul and Sarah

Thanks for the suggestion. I have provided my data here in to make the results reproducable. I am actually trying to do interpoliation of climate data where x1 and x2 are my latitude and longitude and sum64-sum 368 are my rainfall observations which I need to regress against x1 and x2. In the previous I was trying to get my story clear so I did not go into details. 

Now when I run your suggestion below, I get the following error message. Is there anything in your instruction that I did not get right?
many thanks

listOfForumlas = paste(1:300, "~s(x1,x2, k=100)")
listofResults = lapply(listOfForumlas, function(f) {

Error in model.frame.default(formula = 1 ~ 1 + x1+ x2, data = dat,  : 
  variable lengths differ (found for 'x1')

Från: Paul Hiemstra [paul.hiemstra at knmi.nl]
Skickat: den 12 december 2011 14:42
Till: Mintewab Bezabih
Kopia: r-help at r-project.org
Ämne: Re: [R] shorter way of coding

On 12/12/2011 01:16 PM, Mintewab Bezabih wrote:
> Dear R users,
> I am using the code below to generate a fitted value of b. I have about 300 different values for for y (y1, y2, ...y300) which means I will have to write the code below 300 times to generate the 300 different fitted values for y. Is there a short way of doing that ?
> Many thanks in advance
> Mintewab
> library(mgcv)
> dat <- read.table("e:/minti's laptop/C/GBG/allround_survey/rainfallGPS.csv", header=T, sep=",")
> b<-gam(y1~s(x1, x2, k=100),data=dat)
> vis.gam(b)
> fitted(b)
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Hi Mintewab,

Something along these lines should work:

listOfForumlas = paste(1:300, "~s(x1, x2, k=100)")
listofResults = lapply(listOfForumlas, function(f) {

But as Sarah already commented, without a reproducible piece of example
code we cannot present any working solutions.


Paul Hiemstra, Ph.D.
Global Climate Division
Royal Netherlands Meteorological Institute (KNMI)
Wilhelminalaan 10 | 3732 GK | De Bilt | Kamer B 3.39
P.O. Box 201 | 3730 AE | De Bilt
tel: +31 30 2206 494


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