search for: intercep

...this script I can get it, but I'm looking for an "elegant" solution.. library(grid) grid.polygon(x=c(0.2, 0.8, 0.6, 0.6, 0.8, 0.2), y=c(0.2, 0.2, 0.3, 0.5, 0.7,0.7), gp=gpar(fill="grey", alpha=0.9)) tmp=seq(0.225,0.7,0.075) for(i in 1:length(tmp)) { grid.abline(intercep=tmp[i], slope=0, units="npc", range=c(0.21,0.79), gp=gpar(lty=c("F8","2"), lwd=1.1)) } tmp2=seq(0.265,0.685,0.075) for(i in 1:length(tmp2)) { grid.abline(intercep=tmp2[i], slope=0, units="npc", range=c(0.225,0.775), gp=gpar(lty="F8&quot...

...duals by using R. O have to obtain the estimates of the impact of the second-level (national: GDP per capita) effects on individuals ( in this instance the impact of the GDP per capita on the attitudes towards the EU enlargement) by allowing national differences in both slopes (GDP per capita) and interceps. In R programm for the fitting the hierarchical models i can use the nlme package. I found a literature (Bryk and Raudenbush) for the hierarchical models and understood how to build this models by using the survey data. The question arise if I?m thinking about the combination of the datasets: the...

Hi all, I computed a Wilks Lambda Test with manova: > df.man <- manova(df.mul ~ 1, na.rm=TRUE) > summary(df.man, intercep=T, test="Wilks") Df Wilks approx F num Df den Df Pr(>F) (Intercept) 1 0.0002824 393.3 9 1 0.03911 * Residuals 9 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 I'...

Hi Johannes, > All the use cases sound reasonable but why do we need these kind of "weird files" to do this? > > I mean, why would you train or measure something on single definition translation units and not on the original ones, potentially one function at a time? I think that's the fundamental question :) The short answer is that it is hard to compile the files from