Hi all,
I have this code, but the marginal distribution plot doesn´t appear aligned with the left plot. I think could be something about layout or par() mar. The code was programmed by me time ago. Can anyone help me to get the marginal distribution on the center (more higher centered) id.txt Could have this code: 05/01/2016;9335,200195 06/01/2016;9197,400391 07/01/2016;9059,299805 08/01/2016;8909,200195 11/01/2016;8886,099609 12/01/2016;8915,400391 13/01/2016;8934,5 14/01/2016;8787,700195 15/01/2016;8543,599609 18/01/2016;8469,299805 19/01/2016;8554,900391 20/01/2016;8281,400391 21/01/2016;8444,200195 22/01/2016;8722,900391 25/01/2016;8567,700195 26/01/2016;8692,5 27/01/2016;8741 g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", dec=",") N=5000 B=24 ghy<-nrow(g) r<-as.numeric(as.character(g$LAST[ghy])) nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) par(mar=c(6,6,6,0.5)) A<-matrix(1:B,B,N); sigma<-0.06; mu<-0.00; Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( rnorm(N*B,0,1), B, N)) real1<-g$LAST[1:nrow(g)] real2<-matrix(NA,nrow(g),N-1) real<-cbind(real1,real2) Po<-r*matrix(1,1,N); Sim<-rbind(Po,Z) Simulation<-rbind(real,Z) par(mar=c(10,6,6,6)) matplot(Simulation,type="l",ylim=c(0,40000)) abline(h = 8000, lwd = 2, col = "black") abline(h = 12000, lwd = 2, col = "black") title("Dinamic Montecarlo Simulation 2 years ahead",font=4) fhist<-hist(Simulation,plot=FALSE) par(mar=c(6,0,6,6)) barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") grid() title("Marginal Distribution",font=4) rect(0, 0, 0, 0) # transparent [[alternative HTML version deleted]] ______________________________________________ [hidden email] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. |
Please, I'm trying to put the right plot higher and centered on the left
values but I don't achive. I would appreciate so much your help El 6 jun. 2017 22:37, "Pedro páramo" <[hidden email]> escribió: > Hi all, > > I have this code, but the marginal distribution plot doesn´t appear > aligned with the left plot. > > > I think could be something about layout or par() mar. > > The code was programmed by me time ago. > > Can anyone help me to get the marginal distribution on the center (more > higher centered) > > id.txt > > Could have this code: > > 05/01/2016;9335,200195 > 06/01/2016;9197,400391 > 07/01/2016;9059,299805 > 08/01/2016;8909,200195 > 11/01/2016;8886,099609 > 12/01/2016;8915,400391 > 13/01/2016;8934,5 > 14/01/2016;8787,700195 > 15/01/2016;8543,599609 > 18/01/2016;8469,299805 > 19/01/2016;8554,900391 > 20/01/2016;8281,400391 > 21/01/2016;8444,200195 > 22/01/2016;8722,900391 > 25/01/2016;8567,700195 > 26/01/2016;8692,5 > 27/01/2016;8741 > > > > g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", dec=",") > > N=5000 > B=24 > ghy<-nrow(g) > r<-as.numeric(as.character(g$LAST[ghy])) > > > nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) > > par(mar=c(6,6,6,0.5)) > > A<-matrix(1:B,B,N); > > > > sigma<-0.06; > > > > mu<-0.00; > > > Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( rnorm(N*B,0,1), > B, N)) > > real1<-g$LAST[1:nrow(g)] > > real2<-matrix(NA,nrow(g),N-1) > > real<-cbind(real1,real2) > > > > > Po<-r*matrix(1,1,N); > > > > Sim<-rbind(Po,Z) > Simulation<-rbind(real,Z) > > > > > > > par(mar=c(10,6,6,6)) > matplot(Simulation,type="l",ylim=c(0,40000)) > > abline(h = 8000, lwd = 2, col = "black") > > abline(h = 12000, lwd = 2, col = "black") > title("Dinamic Montecarlo Simulation 2 years ahead",font=4) > > fhist<-hist(Simulation,plot=FALSE) > par(mar=c(6,0,6,6)) > barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") > grid() > title("Marginal Distribution",font=4) > > > rect(0, 0, 0, 0) # transparent > > [[alternative HTML version deleted]] ______________________________________________ [hidden email] 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. |
Hi Pedro,
As a one-off, you just shove the coordinates around a bit: par(mar=c(11,0,6,6)) barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray", ylim=c(0,24)) However, I don't think that this plot illustrates quite what you think it does. Jim On Wed, Jun 7, 2017 at 4:01 PM, Pedro páramo <[hidden email]> wrote: > Please, I'm trying to put the right plot higher and centered on the left > values but I don't achive. > > I would appreciate so much your help > > El 6 jun. 2017 22:37, "Pedro páramo" <[hidden email]> escribió: > >> Hi all, >> >> I have this code, but the marginal distribution plot doesn´t appear >> aligned with the left plot. >> >> >> I think could be something about layout or par() mar. >> >> The code was programmed by me time ago. >> >> Can anyone help me to get the marginal distribution on the center (more >> higher centered) >> >> id.txt >> >> Could have this code: >> >> 05/01/2016;9335,200195 >> 06/01/2016;9197,400391 >> 07/01/2016;9059,299805 >> 08/01/2016;8909,200195 >> 11/01/2016;8886,099609 >> 12/01/2016;8915,400391 >> 13/01/2016;8934,5 >> 14/01/2016;8787,700195 >> 15/01/2016;8543,599609 >> 18/01/2016;8469,299805 >> 19/01/2016;8554,900391 >> 20/01/2016;8281,400391 >> 21/01/2016;8444,200195 >> 22/01/2016;8722,900391 >> 25/01/2016;8567,700195 >> 26/01/2016;8692,5 >> 27/01/2016;8741 >> >> >> >> g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", dec=",") >> >> N=5000 >> B=24 >> ghy<-nrow(g) >> r<-as.numeric(as.character(g$LAST[ghy])) >> >> >> nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) >> >> par(mar=c(6,6,6,0.5)) >> >> A<-matrix(1:B,B,N); >> >> >> >> sigma<-0.06; >> >> >> >> mu<-0.00; >> >> >> Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( rnorm(N*B,0,1), >> B, N)) >> >> real1<-g$LAST[1:nrow(g)] >> >> real2<-matrix(NA,nrow(g),N-1) >> >> real<-cbind(real1,real2) >> >> >> >> >> Po<-r*matrix(1,1,N); >> >> >> >> Sim<-rbind(Po,Z) >> Simulation<-rbind(real,Z) >> >> >> >> >> >> >> par(mar=c(10,6,6,6)) >> matplot(Simulation,type="l",ylim=c(0,40000)) >> >> abline(h = 8000, lwd = 2, col = "black") >> >> abline(h = 12000, lwd = 2, col = "black") >> title("Dinamic Montecarlo Simulation 2 years ahead",font=4) >> >> fhist<-hist(Simulation,plot=FALSE) >> par(mar=c(6,0,6,6)) >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") >> grid() >> title("Marginal Distribution",font=4) >> >> >> rect(0, 0, 0, 0) # transparent >> >> > > [[alternative HTML version deleted]] > > ______________________________________________ > [hidden email] 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. ______________________________________________ [hidden email] 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. |
Many thanks Jim.
What I,m trying to show with the fhist plot is the empirical distribution of the values of the left plot simulation. You say: However, I don't think that this plot illustrates quite what you think it does. Can you give me a clue to try to illustrate better if it is not showing what I believe it shows a better way to show it? Many thanks in advance. El 7 jun. 2017 12:08, "Jim Lemon" <[hidden email]> escribió: Hi Pedro, As a one-off, you just shove the coordinates around a bit: par(mar=c(11,0,6,6)) barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray", ylim=c(0,24)) However, I don't think that this plot illustrates quite what you think it does. Jim On Wed, Jun 7, 2017 at 4:01 PM, Pedro páramo <[hidden email]> wrote: > Please, I'm trying to put the right plot higher and centered on the left > values but I don't achive. > > I would appreciate so much your help > > El 6 jun. 2017 22:37, "Pedro páramo" <[hidden email]> escribió: > >> Hi all, >> >> I have this code, but the marginal distribution plot doesn´t appear >> aligned with the left plot. >> >> >> I think could be something about layout or par() mar. >> >> The code was programmed by me time ago. >> >> Can anyone help me to get the marginal distribution on the center (more >> higher centered) >> >> id.txt >> >> Could have this code: >> >> 05/01/2016;9335,200195 >> 06/01/2016;9197,400391 >> 07/01/2016;9059,299805 >> 08/01/2016;8909,200195 >> 11/01/2016;8886,099609 >> 12/01/2016;8915,400391 >> 13/01/2016;8934,5 >> 14/01/2016;8787,700195 >> 15/01/2016;8543,599609 >> 18/01/2016;8469,299805 >> 19/01/2016;8554,900391 >> 20/01/2016;8281,400391 >> 21/01/2016;8444,200195 >> 22/01/2016;8722,900391 >> 25/01/2016;8567,700195 >> 26/01/2016;8692,5 >> 27/01/2016;8741 >> >> >> >> g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", dec=",") >> >> N=5000 >> B=24 >> ghy<-nrow(g) >> r<-as.numeric(as.character(g$LAST[ghy])) >> >> >> nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) >> >> par(mar=c(6,6,6,0.5)) >> >> A<-matrix(1:B,B,N); >> >> >> >> sigma<-0.06; >> >> >> >> mu<-0.00; >> >> >> Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( rnorm(N*B,0,1), >> B, N)) >> >> real1<-g$LAST[1:nrow(g)] >> >> real2<-matrix(NA,nrow(g),N-1) >> >> real<-cbind(real1,real2) >> >> >> >> >> Po<-r*matrix(1,1,N); >> >> >> >> Sim<-rbind(Po,Z) >> Simulation<-rbind(real,Z) >> >> >> >> >> >> >> par(mar=c(10,6,6,6)) >> matplot(Simulation,type="l",ylim=c(0,40000)) >> >> abline(h = 8000, lwd = 2, col = "black") >> >> abline(h = 12000, lwd = 2, col = "black") >> title("Dinamic Montecarlo Simulation 2 years ahead",font=4) >> >> fhist<-hist(Simulation,plot=FALSE) >> par(mar=c(6,0,6,6)) >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") >> grid() >> title("Marginal Distribution",font=4) >> >> >> rect(0, 0, 0, 0) # transparent >> >> > > [[alternative HTML version deleted]] > > ______________________________________________ > [hidden email] 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/ > and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ [hidden email] 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. |
Please can you send me some orientation?
Many thanks in advance. Only if posible one book o similar example to understand why it is not what I try. El 8 jun. 2017 7:50 PM, "Pedro páramo" <[hidden email]> escribió: > Many thanks Jim. > > What I,m trying to show with the fhist plot is the empirical distribution > of the values of the left plot simulation. > > You say: > However, I don't think that this plot illustrates quite what you think it > does. > > Can you give me a clue to try to illustrate better if it is not showing > what I believe it shows a better way to show it? > > Many thanks in advance. > > > > > > El 7 jun. 2017 12:08, "Jim Lemon" <[hidden email]> escribió: > > Hi Pedro, > As a one-off, you just shove the coordinates around a bit: > > par(mar=c(11,0,6,6)) > barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray", > ylim=c(0,24)) > > However, I don't think that this plot illustrates quite what you think it > does. > > Jim > > > On Wed, Jun 7, 2017 at 4:01 PM, Pedro páramo <[hidden email]> > wrote: > > Please, I'm trying to put the right plot higher and centered on the left > > values but I don't achive. > > > > I would appreciate so much your help > > > > El 6 jun. 2017 22:37, "Pedro páramo" <[hidden email]> escribió: > > > >> Hi all, > >> > >> I have this code, but the marginal distribution plot doesn´t appear > >> aligned with the left plot. > >> > >> > >> I think could be something about layout or par() mar. > >> > >> The code was programmed by me time ago. > >> > >> Can anyone help me to get the marginal distribution on the center (more > >> higher centered) > >> > >> id.txt > >> > >> Could have this code: > >> > >> 05/01/2016;9335,200195 > >> 06/01/2016;9197,400391 > >> 07/01/2016;9059,299805 > >> 08/01/2016;8909,200195 > >> 11/01/2016;8886,099609 > >> 12/01/2016;8915,400391 > >> 13/01/2016;8934,5 > >> 14/01/2016;8787,700195 > >> 15/01/2016;8543,599609 > >> 18/01/2016;8469,299805 > >> 19/01/2016;8554,900391 > >> 20/01/2016;8281,400391 > >> 21/01/2016;8444,200195 > >> 22/01/2016;8722,900391 > >> 25/01/2016;8567,700195 > >> 26/01/2016;8692,5 > >> 27/01/2016;8741 > >> > >> > >> > >> g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", dec=",") > >> > >> N=5000 > >> B=24 > >> ghy<-nrow(g) > >> r<-as.numeric(as.character(g$LAST[ghy])) > >> > >> > >> nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) > >> > >> par(mar=c(6,6,6,0.5)) > >> > >> A<-matrix(1:B,B,N); > >> > >> > >> > >> sigma<-0.06; > >> > >> > >> > >> mu<-0.00; > >> > >> > >> Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( > rnorm(N*B,0,1), > >> B, N)) > >> > >> real1<-g$LAST[1:nrow(g)] > >> > >> real2<-matrix(NA,nrow(g),N-1) > >> > >> real<-cbind(real1,real2) > >> > >> > >> > >> > >> Po<-r*matrix(1,1,N); > >> > >> > >> > >> Sim<-rbind(Po,Z) > >> Simulation<-rbind(real,Z) > >> > >> > >> > >> > >> > >> > >> par(mar=c(10,6,6,6)) > >> matplot(Simulation,type="l",ylim=c(0,40000)) > >> > >> abline(h = 8000, lwd = 2, col = "black") > >> > >> abline(h = 12000, lwd = 2, col = "black") > >> title("Dinamic Montecarlo Simulation 2 years ahead",font=4) > >> > >> fhist<-hist(Simulation,plot=FALSE) > >> par(mar=c(6,0,6,6)) > >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") > >> grid() > >> title("Marginal Distribution",font=4) > >> > >> > >> rect(0, 0, 0, 0) # transparent > >> > >> > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > [hidden email] 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/posti > ng-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > [[alternative HTML version deleted]] ______________________________________________ [hidden email] 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. |
Hi Pedro,
If you keep that same margins for the second plot: par(mar=c(10,0,6,6)) barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") it looks reasonably well aligned to me. Because you are plotting the counts of the values in Simulation, the ordinate (vertical axis) of the bar plot is in quite different units from that of the plot on the left side. Jim On Wed, Jun 14, 2017 at 5:33 PM, Pedro páramo <[hidden email]> wrote: > Please can you send me some orientation? > > Many thanks in advance. > > Only if posible one book o similar example to understand why it is not what > I try. > > El 8 jun. 2017 7:50 PM, "Pedro páramo" <[hidden email]> escribió: >> >> Many thanks Jim. >> >> What I,m trying to show with the fhist plot is the empirical distribution >> of the values of the left plot simulation. >> >> You say: >> However, I don't think that this plot illustrates quite what you think it >> does. >> >> Can you give me a clue to try to illustrate better if it is not showing >> what I believe it shows a better way to show it? >> >> Many thanks in advance. >> >> >> >> >> >> El 7 jun. 2017 12:08, "Jim Lemon" <[hidden email]> escribió: >> >> Hi Pedro, >> As a one-off, you just shove the coordinates around a bit: >> >> par(mar=c(11,0,6,6)) >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray", >> ylim=c(0,24)) >> >> However, I don't think that this plot illustrates quite what you think it >> does. >> >> Jim >> >> >> On Wed, Jun 7, 2017 at 4:01 PM, Pedro páramo <[hidden email]> >> wrote: >> > Please, I'm trying to put the right plot higher and centered on the left >> > values but I don't achive. >> > >> > I would appreciate so much your help >> > >> > El 6 jun. 2017 22:37, "Pedro páramo" <[hidden email]> escribió: >> > >> >> Hi all, >> >> >> >> I have this code, but the marginal distribution plot doesn´t appear >> >> aligned with the left plot. >> >> >> >> >> >> I think could be something about layout or par() mar. >> >> >> >> The code was programmed by me time ago. >> >> >> >> Can anyone help me to get the marginal distribution on the center (more >> >> higher centered) >> >> >> >> id.txt >> >> >> >> Could have this code: >> >> >> >> 05/01/2016;9335,200195 >> >> 06/01/2016;9197,400391 >> >> 07/01/2016;9059,299805 >> >> 08/01/2016;8909,200195 >> >> 11/01/2016;8886,099609 >> >> 12/01/2016;8915,400391 >> >> 13/01/2016;8934,5 >> >> 14/01/2016;8787,700195 >> >> 15/01/2016;8543,599609 >> >> 18/01/2016;8469,299805 >> >> 19/01/2016;8554,900391 >> >> 20/01/2016;8281,400391 >> >> 21/01/2016;8444,200195 >> >> 22/01/2016;8722,900391 >> >> 25/01/2016;8567,700195 >> >> 26/01/2016;8692,5 >> >> 27/01/2016;8741 >> >> >> >> >> >> >> >> g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", dec=",") >> >> >> >> N=5000 >> >> B=24 >> >> ghy<-nrow(g) >> >> r<-as.numeric(as.character(g$LAST[ghy])) >> >> >> >> >> >> nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) >> >> >> >> par(mar=c(6,6,6,0.5)) >> >> >> >> A<-matrix(1:B,B,N); >> >> >> >> >> >> >> >> sigma<-0.06; >> >> >> >> >> >> >> >> mu<-0.00; >> >> >> >> >> >> Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( >> >> rnorm(N*B,0,1), >> >> B, N)) >> >> >> >> real1<-g$LAST[1:nrow(g)] >> >> >> >> real2<-matrix(NA,nrow(g),N-1) >> >> >> >> real<-cbind(real1,real2) >> >> >> >> >> >> >> >> >> >> Po<-r*matrix(1,1,N); >> >> >> >> >> >> >> >> Sim<-rbind(Po,Z) >> >> Simulation<-rbind(real,Z) >> >> >> >> >> >> >> >> >> >> >> >> >> >> par(mar=c(10,6,6,6)) >> >> matplot(Simulation,type="l",ylim=c(0,40000)) >> >> >> >> abline(h = 8000, lwd = 2, col = "black") >> >> >> >> abline(h = 12000, lwd = 2, col = "black") >> >> title("Dinamic Montecarlo Simulation 2 years ahead",font=4) >> >> >> >> fhist<-hist(Simulation,plot=FALSE) >> >> par(mar=c(6,0,6,6)) >> >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") >> >> grid() >> >> title("Marginal Distribution",font=4) >> >> >> >> >> >> rect(0, 0, 0, 0) # transparent >> >> >> >> >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > [hidden email] mailing list -- To UNSUBSCRIBE and more, see >> > https://stat.ethz.ch/mailman/listinfo/r-help >> > PLEASE do read the posting guide >> > http://www.R-project.org/posting-guide.html >> > and provide commented, minimal, self-contained, reproducible code. >> >> > ______________________________________________ [hidden email] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. |
Can you suggest a plot on the right side so that the right plot has the
same units of left plot and reflect the counts of the number of time the values repeat, something like the empirical distribution? 2017-06-14 12:30 GMT+02:00 Jim Lemon <[hidden email]>: > Hi Pedro, > If you keep that same margins for the second plot: > > par(mar=c(10,0,6,6)) > barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") > > it looks reasonably well aligned to me. Because you are plotting the > counts of the values in Simulation, the ordinate (vertical axis) of > the bar plot is in quite different units from that of the plot on the > left side. > > Jim > > On Wed, Jun 14, 2017 at 5:33 PM, Pedro páramo <[hidden email]> > wrote: > > Please can you send me some orientation? > > > > Many thanks in advance. > > > > Only if posible one book o similar example to understand why it is not > what > > I try. > > > > El 8 jun. 2017 7:50 PM, "Pedro páramo" <[hidden email]> > escribió: > >> > >> Many thanks Jim. > >> > >> What I,m trying to show with the fhist plot is the empirical > distribution > >> of the values of the left plot simulation. > >> > >> You say: > >> However, I don't think that this plot illustrates quite what you think > it > >> does. > >> > >> Can you give me a clue to try to illustrate better if it is not showing > >> what I believe it shows a better way to show it? > >> > >> Many thanks in advance. > >> > >> > >> > >> > >> > >> El 7 jun. 2017 12:08, "Jim Lemon" <[hidden email]> escribió: > >> > >> Hi Pedro, > >> As a one-off, you just shove the coordinates around a bit: > >> > >> par(mar=c(11,0,6,6)) > >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray", > >> ylim=c(0,24)) > >> > >> However, I don't think that this plot illustrates quite what you think > it > >> does. > >> > >> Jim > >> > >> > >> On Wed, Jun 7, 2017 at 4:01 PM, Pedro páramo <[hidden email]> > >> wrote: > >> > Please, I'm trying to put the right plot higher and centered on the > left > >> > values but I don't achive. > >> > > >> > I would appreciate so much your help > >> > > >> > El 6 jun. 2017 22:37, "Pedro páramo" <[hidden email]> > escribió: > >> > > >> >> Hi all, > >> >> > >> >> I have this code, but the marginal distribution plot doesn´t appear > >> >> aligned with the left plot. > >> >> > >> >> > >> >> I think could be something about layout or par() mar. > >> >> > >> >> The code was programmed by me time ago. > >> >> > >> >> Can anyone help me to get the marginal distribution on the center > (more > >> >> higher centered) > >> >> > >> >> id.txt > >> >> > >> >> Could have this code: > >> >> > >> >> 05/01/2016;9335,200195 > >> >> 06/01/2016;9197,400391 > >> >> 07/01/2016;9059,299805 > >> >> 08/01/2016;8909,200195 > >> >> 11/01/2016;8886,099609 > >> >> 12/01/2016;8915,400391 > >> >> 13/01/2016;8934,5 > >> >> 14/01/2016;8787,700195 > >> >> 15/01/2016;8543,599609 > >> >> 18/01/2016;8469,299805 > >> >> 19/01/2016;8554,900391 > >> >> 20/01/2016;8281,400391 > >> >> 21/01/2016;8444,200195 > >> >> 22/01/2016;8722,900391 > >> >> 25/01/2016;8567,700195 > >> >> 26/01/2016;8692,5 > >> >> 27/01/2016;8741 > >> >> > >> >> > >> >> > >> >> g<-read.table("id.txt", col.names=c("Dateh","LAST"), sep=";", > dec=",") > >> >> > >> >> N=5000 > >> >> B=24 > >> >> ghy<-nrow(g) > >> >> r<-as.numeric(as.character(g$LAST[ghy])) > >> >> > >> >> > >> >> nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) > >> >> > >> >> par(mar=c(6,6,6,0.5)) > >> >> > >> >> A<-matrix(1:B,B,N); > >> >> > >> >> > >> >> > >> >> sigma<-0.06; > >> >> > >> >> > >> >> > >> >> mu<-0.00; > >> >> > >> >> > >> >> Z<-r*exp((mu-0.5*((sigma)^2)*A) +sigma*(sqrt(A))*matrix( > >> >> rnorm(N*B,0,1), > >> >> B, N)) > >> >> > >> >> real1<-g$LAST[1:nrow(g)] > >> >> > >> >> real2<-matrix(NA,nrow(g),N-1) > >> >> > >> >> real<-cbind(real1,real2) > >> >> > >> >> > >> >> > >> >> > >> >> Po<-r*matrix(1,1,N); > >> >> > >> >> > >> >> > >> >> Sim<-rbind(Po,Z) > >> >> Simulation<-rbind(real,Z) > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> par(mar=c(10,6,6,6)) > >> >> matplot(Simulation,type="l",ylim=c(0,40000)) > >> >> > >> >> abline(h = 8000, lwd = 2, col = "black") > >> >> > >> >> abline(h = 12000, lwd = 2, col = "black") > >> >> title("Dinamic Montecarlo Simulation 2 years ahead",font=4) > >> >> > >> >> fhist<-hist(Simulation,plot=FALSE) > >> >> par(mar=c(6,0,6,6)) > >> >> barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") > >> >> grid() > >> >> title("Marginal Distribution",font=4) > >> >> > >> >> > >> >> rect(0, 0, 0, 0) # transparent > >> >> > >> >> > >> > > >> > [[alternative HTML version deleted]] > >> > > >> > ______________________________________________ > >> > [hidden email] 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. > >> > >> > > > [[alternative HTML version deleted]] ______________________________________________ [hidden email] 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. |
As you have categorized the original values, they are different from
the originals. You could include the categories like this, with a bit of fiddling the margins and y limits for the right hand plot: x11(width=10) nf<-layout(matrix(c(1,1,1,1,2,2),1,6,byrow=TRUE)) par(mar=c(10,6,6,6)) matplot(Simulation,type="l",ylim=c(0,40000)) abline(h = 8000, lwd = 2, col = "black") abline(h = 12000, lwd = 2, col = "black") title("Dinamic Montecarlo Simulation 2 years ahead",font=4) fhist<-hist(Simulation,plot=FALSE) par(mar=c(10,6,6,6)) barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray", names.arg=paste(fhist$breaks[1:23],fhist$breaks[2:24],sep="-"), las=2,ylim=c(-3,40)) grid() title("Marginal Distribution",font=4) Jim On Sun, Jun 18, 2017 at 3:51 AM, Pedro páramo <[hidden email]> wrote: > Can you suggest a plot on the right side so that the right plot has the same > units of left plot and reflect the counts of the number of time the values > repeat, something like the empirical distribution? > ______________________________________________ [hidden email] 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. |
Free forum by Nabble | Edit this page |