?lme (at least the one in package nlme) seems not to mention that the
response in 'fixed' must be a numeric variable, but it must (and a
factor is not numeric).
If you want to use a binary response, you need to use other methods,
and it would be better to ask on R-sig-mixed-models making clear what
your aims actually are.
On Wed, 21 Jul 2010, Igor Blanco wrote:
Hi there,
I am trying to analyze some data using the lme package.
Perhaps you mean the nlme package?
In my case there is a variable called Newmarker that can only take 2 values
(number 1 or number 2).
I have used the as.factor to remark this fact but an error message appears
stating: attempt to set rownames on object with no dimensions.
Here is the code I have used:
*Dataset <- read.table("Data2.txt", header=TRUE, sep="", na.strings="NA",
dec=".", strip.white=TRUE)
Dataset$Newmarker <- as.factor(Dataset$Newmarker)
attach(Dataset)
lme.1 <- lme(Newmarker ~ Age, data=Dataset, random= ~1|ID)
summary(lme.1)*
If I don't use the as.factor I have no problems but I don't think this is
the correct way to proceed... The other variables I use can have any value.
Can anybody help me please?
Thanking you in advance,
Regards,
Igor Blanco
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