Hi, How I could improve this graphic?
http://www.divshare.com/download/10754700-f81 I would like to write groups labels in each panel and override the labels from object. I am try this code: xyplot(percentagem.mortos~tempo|trat, data=bio.ens, type="a", auto.key=list(points=FALSE, lines=TRUE, columns=3), ylim=c(0,100),scales = list(x = list(at = c(48, 72, 96), labels = c("48", "72", "96")), cex=2.0), ylab=list(expression("Percentagem de mortos"),cex=2.5), xlab=list(expression("Horas após aplicação"), cex=2.5), between = list(x = c(0.25, 0.25), y = 0.25), par.settings = simpleTheme(col="blue", pch=20, cex=2.3, lwd=6), par.strip.text = list(lines = 1, cex = 1.5), #strip = strip.custom(strip.names=c(TRUE, FALSE), #strip.levels=c(FALSE,FALSE), # var.name=expression(c(113 - 3%*%10^8,H_2O)) #factor.levels=expression(c(113 - 3%*%10^8,H_2O)) ) I already tried many options, but with out success. Google have showed me many suggestions, like this one: http://tolstoy.newcastle.edu.au/R/e2/help/06/09/1409.html I had used this suggestion and the next code to pass the groups labels to xyplot: levs <- c(expression(133 - 3%*%10^8), expression(H_2O), expression(H_2O+Tween), expression(113 - 1%*%10^8), expression(113 - 3%*%10^8), expression(133 - 1%*%10^8)) without success. I tried to change the labels on data file and/or bio.ens object, but no success. Do you have any suggestion for me? Different colors with legend? What you suggest me? 113 and 133 are different isolates. 1%*%10^8 and 3%*%10^8 are different treatments. H_2O and H_2O+Tween are my controls. Any suggestion is very welcome! Thank you very much -- Marcelo Luiz de Laia Universidade do Estado de Santa Catarina UDESC - www.cav.udesc.br Lages - SC - Brazil Linux user number 487797 -- Marcelo Luiz de Laia Universidade do Estado de Santa Catarina UDESC - www.cav.udesc.br Lages - SC - Brazil Linux user number 487797 ______________________________________________ R-help@r-project.org mailing list 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.
