Please Help for Augmented Prediction Plot

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Chun-Hao Tu <tch28 <at> hotmail.com> writes:
Hi R users,I have a question about augmented prediction plot (?augPred). 
The covariate of my data set is  c(0, 0.01, 0.1, 1, 10, 100, 1000) and I 
have fitted a nonlinear mixed effects model. I use
plot(augPred(out.nlme....)) to get the augmented prediction plot. However,
because the scale of the  covariate is too large thus I am not able to see 
the detail difference at c(0,0.01, 0.1, and 1). Could anyone
tell me how to enlarge the plot at that range "c(0,0.01, 0.1, and 1)" ?  
Very, very likely, if you have such a large range (frequently a drug dose), 
you should think of doing a (shifted log?) transform of your data initially. 
Try to do a residual plot plot(result(nlme)) might work first to check for 
this.  Maybe even plotting (0.001,0.01,...) would be more useful.

Otherwise, you could always use pred() manually and do a trellis plot
with some (log+x) transformed data. 

Dieter
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try this:

s1 <- letters[1:10]
e <- LETTERS[1:10]
q <- c("a","a","c","b","d","d","a","e","b","a")

e[match(q, s1)]

I hope it helps.

Best,
Dimitris
Hi all, 

I am trying to create a vector with the information contained in a determined matrix. Let me explain myself. I have a vector like this:

        q <- c("a","a","c","b","d","d","a","e","b","a")

And a matrix like:

        s1 <- c("a","b","c","d","e","f","g","h","i","j")
        e <- c("A","B","C","D","E","F","G","H","I","J")
        s <- cbind( e, s1 )

The matrix s contains the correspondences between vector q and e. And I want a vector of elements of vector e, but in the order of q. The result should be like:

        q <-  c ("a","a","c","b","d","d","a","e","b","a")

        res<-c ("A","A","C","B","D","E","A","E","B","A")

So I have to take the elements of vector e and make a matching with elements in vector q. Any idea?Sorry If I didn't explain myself well.

Thanks

Patricia

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Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus Medical Center

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