Hello all! I am having two isues with the sjplot package, When dealing with my data I have the following issue:
Original data: https://docs.google.com/spreadsheets/d/1hoOfh78Ev03amXYwNxlWpwbdr1GcDtL_QBiErwxcJds/edit?usp=sharing library(ggplot2) library(geepack) library(sjPlot) dat2<-read.delim("clipboard") dat$IDN=as.factor(dat$IDN) attach(dat2) m11 <- geeglm( formula = log(Timmo)~ presa+picaduras, data = dat2, id = IDN, corstr = "exchangeable" ) plot_model(m11, type = "pred", terms = c("picaduras", "presa")) When plotting the data I get this error: # Model has log-transformed response. Back-transforming predictions to original response scale. Standard errors are still on the log-scale My question is, is it possible to back transform confidence intervals for using the plot_model argument? An additional question I have is how to define manually the color scale and order the factors using sjplot. Thanks for sharing this package, it is awesome! Many thanks [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
