Dear all, I’m trying to do a graph,
3 rows, 5 columns, with the design: # 3 4 5 6 # 2 # 7 8 9 10 I had a code for 3 rows, 3 columns, with the design:: # 3 4 # 2 # 7 8 and I tried to modify it, but I had no success :( I suppose the problem is in the slip.screen code (red part of the code). I attach my code, can anyone please help me? Best, RO setwd("/Users/RO/Dropbox/LMER - 3rdproblem/R/latest_version/graphs/data") library(ggplot2) library(reshape) library(lattice) # read in what looks like half of the data bias.alpha2<-read.csv("graphs_bias_alpha2.csv") SE.alpha2<-read.csv("graphs_SE_alpha2.csv") bias.alpha1<-read.csv("graphs_bias_alpha1.csv") SE.alpha1<-read.csv("graphs_SE_alpha1.csv") quartz(width=10,height=6) # do the first split, to get the rightmost screen for the legend split.screen(figs=matrix(c(0,0.8,0,1,0.8,1,0,1),nrow=2,byrow=TRUE)) # now split the first screen to get your six screens for the plots split.screen(figs=matrix(c(0,0.5,0.5,1,#primeira linha primeira coluna 0.5,1,0.5,1,#primeira linha segunda coluna 0,0.5,0,0.5,#segunda linha primeira coluna 0.5,1,0,0.5),#segunda linha segunda coluna ncol=4,byrow=TRUE),screen=1) # this produces seven screens numbered like this: # 3 4 5 6 # 2 # 7 8 9 10 # select the upper left screen screen(3) par(mar=c(0,3.5,3,0)) # now the second set n250<-bias.alpha1$nsample==250 matplot(x=bias.alpha1$lambda[n250],y=bias.alpha1[n250,3:5], type="l",pch=1:3,col=c(4,2,3),xaxt="n",ylim=c(-.1, .6),main="nsample=250",ylab="", cex.main=1) abline(h = 0, col = "gray60") mtext(expression(paste("Bias av. for ",alpha[1])),side=2,line=2, cex.main=1) screen(4) par(mar=c(0,0,3,0)) # now the second set n1000<-bias.alpha1$nsample==1000 matplot(x=bias.alpha1$lambda[n1000],y=bias.alpha1[n1000,3:5], type="l",pch=1:3,col=c(4,2,3),xaxt="n",yaxt="n",ylim=c(-.1, .6),main="nsample=1000",ylab="") abline(h = 0, col = "gray60") screen(5) par(mar=c(0,3.5,3,0)) # now the second set par(mar=c(3,3.5,0,0)) # now the second set n250<-bias.alpha2$nsample==250 matplot(x=bias.alpha2$lambda[n250],y=bias.alpha2[n250,3:5], type="l",pch=1:3,col=c(4,2,3),ylim=c(-.1, .6),ylab="") abline(h = 0, col = "gray60") mtext(expression(paste("Bias av. for ",alpha[2])),side=2,line=2, cex.main=1.5) screen(6) par(mar=c(3,0,0,0)) # now the second set n1000<-bias.alpha2$nsample==1000 matplot(x=bias.alpha2$lambda[n1000],y=bias.alpha2[n1000,3:5], type="l",pch=1:3,col=c(4,2,3),yaxt="n",ylim=c(-.1, .6)) abline(h = 0, col = "gray60") screen(7) par(mar=c(0,3.5,3,0)) # now the second set n250<-SE.alpha1$nsample==250 matplot(x=SE.alpha1$lambda[n250],y=SE.alpha1[n250,3:5], type="l",pch=1:3,col=c(4,2,3),xaxt="n",ylim=c(0, 1.1),main="nsample=250",ylab="", cex.main=1) abline(h = -1, col = "gray60") mtext(expression(paste("SE av. for ",alpha[1])),side=2,line=2, cex.main=1) mtext(expression(paste(lambda)),side=1,line=2, cex.main=1.5) screen(8) par(mar=c(0,0,3,0)) # now the second set n1000<-SE.alpha1$nsample==1000 matplot(x=SE.alpha1$lambda[n1000],y=SE.alpha1[n1000,3:5], type="l",pch=1:3,col=c(4,2,3),xaxt="n",yaxt="n",ylim=c(0, 1.1),main="nsample=1000",ylab="") abline(h = -1, col = "gray60") screen(9) par(mar=c(3,3.5,0,0)) # now the second set n250<-SE.alpha2$nsample==250 matplot(x=SE.alpha2$lambda[n250],y=SE.alpha2[n250,3:5], type="l",pch=1:3,col=c(4,2,3),ylim=c(0, 1.1),ylab="") abline(h = -.5, col = "gray60") mtext(expression(paste("SE av. for ",alpha[2])),side=2,line=2, cex.main=1.5) mtext(expression(paste(lambda)),side=1,line=2, cex.main=1.5) screen(10) par(mar=c(3,0,0,0)) # now the second set n1000<-SE.alpha2$nsample==1000 matplot(x=SE.alpha2$lambda[n1000],y=SE.alpha2[n1000,3:5], type="l",pch=1:3,col=c(4,2,3),yaxt="n",ylim=c(0, 1.1)) abline(h = -.5, col = "gray60") mtext(expression(paste(lambda)),side=1,line=2, , cex.main=1.5) screen(2) par(mar=c(0,0,0,0)) # plot an empty plot to get the coordinates plot(0:1,0:1,type="n",axes=FALSE) legend(0,0.6,c("OLS", "GLS", "Reg. Cal.", "0"),bty = "n", lty=1:3,col=c(4,2,3,"gray60"),xpd=TRUE) close.screen(all=TRUE) Best, RO Atenciosamente, Rosa Oliveira -- ____________________________________________________________________________ Rosa Celeste dos Santos Oliveira, E-mail: rosit...@gmail.com Tlm: +351 939355143 Linkedin: https://pt.linkedin.com/in/rosacsoliveira ____________________________________________________________________________ "Many admire, few know" Hippocrates ______________________________________________ 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.