Hello everyone,
I have problems estimating lambda using the gls function in R.
The gls function works perfectly fine when I am running it with a fixed value of lambda (ie. fixed=TRUE) but when I am trying to estimate lambda and incorporate this estimation of lambda into my analysis, ie. :
>result = gls(traitY ~ traitX, data="" correlation=corPagel(value=1, tree_list[[1]], fixed=FALSE), method="ML")
I always get the following error message :
>Error in eigen(val, only.values = TRUE) :
>infinite or missing values in 'x'
My question is : How can this be solved
I would be really thankful for any kind of suggestion/help since I can ‘t continue my analysis without solving this particular problem (it is really important to get the estimted lambda for my statistical interpretation) and have been stuck for quite a while and haven’ t found anything useful on the net.
PS.
I am using the libraries : nlme and ape
My dataframe is the following :
traitY traitX
Alouatta_palliata 0.5273489 0.6250000
Ateles_geoffroyi 0.5051398 0.4380000
Cebus_capucinus 0.2895715 0.5036667
Saimiri_sciureus 0.3591358 0.6590000
Cebus_apella 0.6884629 0.5572500
Cercopithecus_diana 0.5714286 0.9050000
Chlorocebus_pygerythrus 0.7604781 0.7246667
Erythrocebus_patas 0.0000000 1.0000000
Macaca_arctoides 0.4155720 0.5895000
Macaca_fuscata 0.6594206 0.5563333
Macaca_mulatta 0.6614815 0.8275000
Macaca_nigra 0.6416667 0.8170000
Macaca_radiata 0.7331135 0.6910000
Macaca_tonkeana 0.4991048 0.8932500
Papio_ursinus 0.7044067 0.6570000
Homo_sapiens 0.5037506 0.5320000
Pan_paniscus 0.6000000 0.9000000
Pan_troglodytes_troglodytes 0.1771352 0.8856364
Pongo_pygmaeus 0.5000000 0.6000000
Eulemur_fulvus_fulvus 0.7662338 0.8730000
Eulemur_fulvus_rufus 0.7334606 0.5475000
Thanks in advance,
Lydia
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