[R] predict function

[Uwe Ligges]

Thomas Jagoe wrote:

> I am using R to do a loess normalisation procedure.
> In 1.5.1 I used the following commands to normalise the variable "logratio",
> over a 2d surface (defined by coordinates x and y):
> 
> 
>>array <- read.table("121203B_QCnew.txt", header=T, sep="\t")
>>array$logs555<-log(array$s555)/log(2)
>>array$logs647<-log(array$s647)/log(2)
>>array$logratio<-array$logs555-array$logs647
>>array$logav<-(array$logs555+array$logs647)/2
>>library(modreg)
>>loess2d<-loess(logratio~x+y,data=array)
>>array$logratio2DLoeNorm <-array$logratio - predict.loess(loess2d, array)
> 
> 
> However in 1.8.1 all goes well until the last step when I get an error:
> 
> Error: couldn't find function "predict.loess"
> 
> Can anyone help ?


Use predict() instead of predict.loess() (the method is hidden in a 
namespace, you should use the generic function).

Uwe Ligges