# Solved – How to interpret the lme function result

the following is the command I used and the results I got for my question, whether the visitation frequency of my bee is different in different experiment types in different locations. I used the lme function of R. I used experiment type as the fixed effect and location as the random effect. I used ANOVA after this to get the F value. Is this right? WIthout ANOVA how I can interpret the results? I had 5 experiment types, but in results it is showing only 4 experiment types. The top most one (expt.antless) is missing.

``> names(acera.freq1) [1] "expt.type"  "visit.freq" "location"   > model<-lme(visit.freq~expt.type,random=~1|location,method="ML") > summary(model) Linear mixed-effects model fit by maximum likelihood  Data: NULL         AIC      BIC    logLik   1065.928 1087.919 -525.9638  Random effects:  Formula: ~1 | location         (Intercept) Residual StdDev:    4.617241 4.682169  Fixed effects: visit.freq ~ expt.type                              Value Std.Error  DF   t-value p-value (Intercept)             10.192564  1.216852 148  8.376177  0.0000 expt.typeblack.ant      -3.579023  1.074261 148 -3.331615  0.0011 expt.typecrazy.ant      -5.804671  1.740132 148 -3.335765  0.0011 expt.typeother.ants     -5.352438  1.936756 148 -2.763610  0.0064 expt.typered.biting.ant -2.680195  2.048081 148 -1.308637  0.1927  Correlation:                          (Intr) expt.typb. expt.typc. expt.typt. expt.typeblack.ant      -0.173                                  expt.typecrazy.ant      -0.128  0.126                           expt.typeother.ants     -0.081  0.146      0.027                expt.typered.biting.ant -0.132  0.117      0.143      0.046      Standardized Within-Group Residuals:         Min          Q1         Med          Q3         Max  -1.65727163 -0.70522770 -0.02959964  0.53356588  3.28792891   Number of Observations: 171 Number of Groups: 19  > anova(model)             numDF denDF  F-value p-value (Intercept)     1   148 56.51744  <.0001 expt.type       4   148  6.28705   1e-04 ``
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``Fixed effects: visit.freq ~ expt.type                              Value Std.Error  DF   t-value p-value (Intercept)             10.192564  1.216852 148  8.376177  0.0000 expt.typeblack.ant      -3.579023  1.074261 148 -3.331615  0.0011 expt.typecrazy.ant      -5.804671  1.740132 148 -3.335765  0.0011 expt.typeother.ants     -5.352438  1.936756 148 -2.763610  0.0064 expt.typered.biting.ant -2.680195  2.048081 148 -1.308637  0.1927 ``