# [R] Plot MArginal distribution in the correct place

Pedro páramo percentil101 at gmail.com
Sat Jun 17 19:51:55 CEST 2017

```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 <drjimlemon at gmail.com>:

> 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 <percentil101 at gmail.com>
> 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" <percentil101 at gmail.com>
> 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" <drjimlemon at gmail.com> 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 <percentil101 at gmail.com>
> >> 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" <percentil101 at gmail.com>
> 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]]
> >> >
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