R version 2.15.0 (2012-03-30) > library(nlme) > dataf<-read.table("C:/Documents and Settings/New user.HOME-2DCF24A8DD/Desktop/analysis/pdataf.txt",header=T) > dataf tag year sex phase age mstart mend mc propmc kmtoF1 1 PO043 2009 AF PM 10 373.4657 475.6858 102.22008 27.370676 420.2365 2 RR435 2009 AF PM 4 270.0599 516.3509 246.29104 91.198685 2195.4183 3 RR435 2010 AF PM 5 331.8893 531.0843 199.19494 60.018484 1623.7955 4 WR336 2008 AF PB 11 418.6430 507.9936 89.35066 21.342926 781.5365 5 YY189 2009 AF PM 5 300.1781 508.0098 207.83174 69.236153 1010.0676 6 YY193 2007 AF PB 4 346.3593 430.2214 83.86210 24.212458 0.0000 7 YY240 2007 AF PB 4 372.1941 406.9324 34.73827 9.333375 1268.4038 meankmtoF1 htoF1 durF1 meandurFpat totFtime tripdur propforage farkm fx 1 394.4627 280 232 214.2222 1928 5632 34.23295 1476.228 9 2 2217.2725 1136 240 433.0000 3464 6480 53.45679 2268.101 8 3 1642.6462 1240 168 288.0000 2880 8064 35.71429 2022.378 10 4 896.8356 376 736 736.0000 736 1536 47.91667 1031.621 1 5 1011.0565 496 96 190.0000 1520 5832 26.06310 2201.082 8 6 0.0000 0 0 0.0000 0 1824 0.00000 1931.764 0 7 1324.0800 616 448 448.0000 448 2056 21.78988 1425.120 1 mv febpm 1 0.20312652 30.80966 2 0.25818408 48.11111 3 0.07446295 32.14286 4 1.96484928 43.12500 5 0.07896997 23.45679 6 0.00000000 0.00000 7 2.71668110 19.61089 > attach(dataf) > fm0f<-lme(propmc~kmtoF1+htoF1+tripdur+farkm,random=~1|tag,method="ML") Error in MEestimate(lmeSt, grps) : Singularity in backsolve at level 0, block 1 > fm0f<-lme(propmc~kmtoF1+tripdur,random=~1|tag,method="ML") > summary(fm0f) Linear mixed-effects model fit by maximum likelihood Data: NULL AIC BIC logLik 68.36043 68.08998 -29.18022 Random effects: Formula: ~1 | tag (Intercept) Residual StdDev: 0.0007653108 15.63737 Fixed effects: propmc ~ kmtoF1 + tripdur Value Std.Error DF t-value p-value (Intercept) -1.619729 17.010746 5 -0.095218 0.9278 kmtoF1 0.014981 0.013920 -1 1.076211 NaN tripdur 0.006514 0.003898 -1 1.671239 NaN Correlation: (Intr) kmtoF1 kmtoF1 -0.269 tripdur -0.544 -0.568 Standardized Within-Group Residuals: Min Q1 Med Q3 Max -1.37118825 -0.93396390 0.07986324 1.01258418 1.13408446 Number of Observations: 7 Number of Groups: 6 Warning message: In pt(q, df, lower.tail, log.p) : NaNs produced >