You probably forgot to say that you have also different versions of the
package installed!
I get on all platforms:
> drm(formula = response ~ conc, data = assay.data, fct = l4())
Error in drm(formula = response ~ conc, data = assay.data, fct = l4()) :
Cluster not specified. Use e.g. y ~ x + cluster(id)
with recent versions of R and drm.
So time to update R and all your packages on all your platforms.
Best,
Uwe Ligges
On 09.11.2010 17:26, Robert Kinley wrote:
apologies for omitting the data ....
conc response curve
1 50 0.7533954 1
2 50 0.7755960 2
3 50 0.8001151 3
4 89 0.2858031 1
5 89 0.2883478 2
6 89 0.2954936 3
7 158 0.4296482 1
8 158 0.4406220 2
9 158 0.4567403 3
10 282 0.6484347 1
11 282 0.6555722 2
12 282 0.7361552 3
13 501 0.9768917 1
14 501 0.9809505 2
15 501 0.9952711 3
16 890 1.3950000 1
17 890 1.3262830 2
18 890 1.4754281 3
19 1582 2.2157078 1
20 1582 2.2918927 2
21 1582 2.5538562 3
22 2813 3.7403291 1
23 2813 4.0623972 2
24 2813 4.1439147 3
25 5000 5.1405423 1
26 5000 5.4242582 2
27 5000 5.4322730 3
also -
> model
[[1]]
A 'drc' model.
Call:
drm(formula = response ~ conc, data = assay.data, fct = l4())
Coefficients:
b:(Intercept) c:(Intercept) d:(Intercept) e:(Intercept)
-1.6958 0.5089 6.9764 2629.7526
attr(,"logScale")
[1] TRUE
attr(,"modelType")
[1] "4pl"
attr(,"method")
[1] "drc"
attr(,"class")
[1] "multFit"
*Uwe Ligges <lig...@statistik.tu-dortmund.de>*
09/11/2010 16:21
To
Robert Kinley <kinley_rob...@lilly.com>
cc
r-help@r-project.org
Subject
Re: [R] code ok in unix & R2.6 , fails in windows & R 2.12
We cannot help since we do not have the data.
Uwe
On 09.11.2010 16:40, Robert Kinley wrote:
> hello ...
>
> Can anyone help me with this :
>
>
> In R.exe 2.6 , Unix , :-
>
> plot.data<-model[[i]]$data$conc
> newdata<-seq(min(plot.data),max(plot.data),by=1)
> model.pred<-predict(model[[i]],data.frame(newdata),interval="prediction")
> matpoints(newdata,model.pred[,c("Lower","Upper")],"l",col="blue",lty=1)
>
> works OK ...
>
>
> in Rgui 2.12 , Windows XP , same code
>
>> plot.data<-model[[i]]$data$conc
>> newdata<-seq(min(plot.data),max(plot.data),by=1)
>>
> model.pred<-predict(model[[i]],data.frame(newdata),interval="prediction")
> Error in `[.data.frame`(newdata, , 2) : undefined columns selected
>
>
>
> Robert Kinley ( 'baffled' of Berkshire )
>
>
>
> [[alternative HTML version deleted]]
>
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