Suppose I have two different data sets as follows,
Data set 1 is lamda_BnT_3Com
with dimension 30(nrow) by 1(ncol)
,
I am plotting each 10
row with different color as
pdf(file = "multi_plots.pdf")
lamda_BnT_3Com=data.frame(lamda=c(0.09090055, 0.08797034, 0.09230524 ,0.09071845, 0.07000510, 0.05441981, 0.03730227, 0.07757363,
0.07070489, 0.08195083, 0.08027035, 0.08115150, 0.11095167 ,0.09385823, 0.08916492, 0.07074638,
0.07256362 ,0.08997501 ,0.09230641, 0.10240990 ,0.08788253 ,0.09349434 ,0.07997615 ,0.06859022,
, 0.07610182, 0.07356230 ,0.07115823 ,0.06471446, 0.07449782 ,0.07144768)
par(mfrow=c(1,1))
loop.vector=1:ncol(lamda_BnT_3Com)
col.set=c("green","blue","purple","deeppink","darkorchid","darkmagenta","black","khaki")
for(b in loop.vector) {
x.lamda<-lamda_BnT_3Com[,b]
plot(x.lamda, type = "n", ylab="", xlab="",
main=colnames(lamda_BnT_3Com)[b])
mtext("trace plots of lamda for 3Com",line=-1.5, cex=1, outer = TRUE)
for (k in 1:3){
lamda_k=lamda_BnT_3Com[((nrow(lamda_BnT_3Com)/3)*k-((nrow(lamda_BnT_3Com)/3)-1)):
((nrow(lamda_BnT_3Com)/3)*k),b]
lines(((nrow(lamda_BnT_3Com)/3)*k-((nrow(lamda_BnT_3Com)/3)-1)):
((nrow(lamda_BnT_3Com)/3)*k),lamda_k,
col=col.set[k])
legend("topleft", bg="transparent",inset=0.05,legend=paste0("chain_",1:3),
col=col.set, lty=1,box.lty=0, cex=0.8)
}
}
Data set 2 is beta_BnT_2Cub
with dimension 30(nrow) by 8(ncol)
and plotting each 10
rows with different colors for each column as
head(beta_BnT_2Cub)
beta0_C1 beta1_C1 beta2_C1 beta3_C1 beta0_C2 beta1_C2 beta2_C2 beta3_C2
1 6.012670 0.2777887 0.005647684 -0.0018061417 6.932491 -0.7845227 0.13098251 -0.005575552
2 6.086134 0.2219228 0.016464083 -0.0023880278 6.802323 -0.7457841 0.12749113 -0.005550782
3 6.014848 0.2778800 0.005228006 -0.0017090344 6.795580 -0.6879021 0.11005922 -0.004261526
4 6.082433 0.2591686 0.003690211 -0.0013860060 6.784797 -0.7235735 0.12234100 -0.005197434
5 5.998062 0.3265980 -0.007621821 -0.0008641481 6.587021 -0.5789524 0.09456842 -0.003607626
6 6.042630 0.2793871 0.003364040 -0.0015935694 6.850518 -0.7200823 0.12204105 -0.005271528
par(mfrow=c(2,2))
col.set=c("green","blue","purple","deeppink","darkorchid","darkmagenta","black","khaki")
loop.vector=1:ncol(beta_BnT_2Cub)
for(b in loop.vector) {
x.beta<-beta_BnT_2Cub[,b]
beta <- substr(sub("^beta", '', names(beta_BnT_2Cub)[b]),1,1)
Cn <- substr(sub("^beta", '',names(beta_BnT_2Cub)[b]),3,4)
plot(x.beta, type = "n", ylab="", xlab="",
main=bquote(beta[.(beta)]~.(Cn)),
cex.main=1)
mtext("trace plots of betas for 2Cub before relab",line=-1.5, cex=1, outer = TRUE)
for (k in 1:3){
beta_k=beta_BnT_2Cub[((nrow(beta_BnT_2Cub)/3)*k-((nrow(beta_BnT_2Cub)/3)-1)):
((nrow(beta_BnT_2Cub)/3)*k),b]
lines(((nrow(beta_BnT_2Cub)/3)*k-((nrow(beta_BnT_2Cub)/3)-1)):
((nrow(beta_BnT_2Cub)/3)*k),beta_k,
col=col.set[k])
legend("topleft", bg="transparent",inset=0.05,legend=paste0("chain_",1:3),
col=col.set, lty=1,box.lty=0, cex=0.8)
}
}
dev.off()
How can I do these plots using ggplot2 package? Any help is highly appreciated.