search for: apppear

...d=list(power=1))) I extract the results of this function by using the following codes: y<-summary(fm) x<-y$modelStruct$varStruct > x Variance function structure of class varConstPower representing const power 1.184535e-15 1.000000e+00 These are the constants and power that apppear in the summary(fm), and that I want to extract. Hower I got different value of const when extracting from x: > x$const const -34.36943 Does anyone know why there is such difference and how to extract the expected value (1.184535e-15) ? Thanks in advance for your help. Thu --- THAI...

Hi folks A couple of questions: 1) I seem to get funny artifacts in the display of TreeCtrl, ComboBox and ListBox when the MDI child frame containing it is first painted (see attached - it should be two-root treeview, unopened). I''m not sure if it''s related to being in a MDI, but the controls sample looks OK. The artifacts are cleared up when it''s repainted or

Dear R-helpers, I have 4-dimensional atmospheric data (x,y,z,t), which I want to analyse on spatio-temporal diversities. As far as I understand there only exists the possibility to construct time series as two-dimensional matrices (mts). For the moment, I hold it in different objects: 1. a four-dimensional array for the spatial related analyses 2. a two-dimensional mts timeserie, which was

...on the order of the random factors, lme will either give the same output as the aov model for soiltype or for habitat, but not both in the same model. > > The closest I came was > > anova(lme(NA.1~soiltype*habitat,random=~1|destination/soiltype)) > > However, it apppears that in this case the interaction is tested at the same level as soiltype. > > In this post, a small sample dataset with a brief explanation of the meaning of the different column titles is included below. Also, I included both the aov model and the lme model. > > Hopefully, this w...