similar to: plotting two curves: Why same hight?

Dear R people, I am using par(mfrow=c()) to plot multi-figures in the same window. And I like to put a common title (and xlab, ylab) for all of plots. I have already left some margin by resetting omi values in par() and hided all (xlab, ylab) for each sub-plot. Could anyone tell me how to do that? Thanks a lot, Frank

Dear Listers, I am drawing a plot of two density curves, for male and female incomes. I would like to shade/hatch/color (whatever) the areas under the curves which are distinctive for each gender. This is the code I have tried so far: m <- density(topmal.d$y, bw = "sj") f <- density(topfem.d$y, bw = "sj") par(mfrow = c(1,1)) plot(x = c(0,400), y = c(0,0.02), type =

The curve() function plots an expression in x over an interval [from,to]. I am looking for a function that would allow me to plot a parametrized curve t -> x(t) where x is a vector in 2 or 3 dimensions. For example (cos(t), sin(t)) (a2D  circle) or (cos(t), sin(t), t) (a 3D helix). It seems that neither curve(), plot(), nor persp() are helpful for that particular problem. I bet I?m not the

Hi. Sorry if this question might have already been asked... I'm trying to plot two curves on the same X-Y coordinate. The par(mfrow) command allows me to plot the two curves on the same window however on different coordinate systems. Is there a way to force the two curves into the same coordinate system? Anyways, thanks in advance! -- View this message in context:

First a statistical issue: The survfit routine will produce predicted survival curves for any requested combination of the covariates in the original model. This is not the same thing as an "adjusted" survival curve. Confusion on this is prevalent, however. True adjustment requires a population average over the confounding factors and is closely related to the standardized

I have a R script that contain these lines for plotting: plot(foo,lwd=2,lty=3,col="red", main=""); plot(bar,lwd=2,lty=3,col="blue"); legend(0.6,0.6,c('Default','Probabilistic'), col=c('red','blue'),lwd=3); But it generate 1 file (Rplot.pdf) with two pages. Each page for 1 plot. Is there a way I can put them together in to one page?

All, I'm trying to put an xyplot and a plot produced via curve() on the same page. It seems that mfrow and layout don't work, and now I'm trying print but that does not work either. Any suggestions much appreciated. Cheers, David p.11 = xyplot(1:10 ~ 1:10) curve(sin, 0,3, ylim=c(-3,3), ylab="sin and cos", lty = 1) curve(cos, 0,3, ylim=c(-3,3), lty = 5, add=TRUE)

Dear R folks, currently the section Examples contains the following as an example on how to plot a ?normal? function. plot(sin, -pi, 2*pi) Since it does not contain the argument for the function it would be helpful to add for example the following. ## plots the graph of f(x) = x**2 with f(x) ? [1, 10] curve(x**2, 1, 10) ## plots the graph of f(x) =

Hi List, I would like to plot multiple curves (parametric density curves) in one plot. For example: # parameters for three normal density curves parms = data.frame(ID=c(1,2,3),mu=c(50,55,60),sigma=c(10,12,15)) # I can easily draw three normal density curves using curve(): curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=0, to=150, ylab="density", col="red")

Dear Rusers, How would I plot several (24) fitted curves (nonlinear least squares) within a single plot? To get the parameters I use: resff <- list() for (s in levels(PairID)) { resff[[s]] <- nls(Photo ~ SSasymp(Ci, Asym, lrc, c0), subset = (PairID == s)) } Is it also possible to plot two different groups (male, female) of curves in the same plot, with different style lines?

Hello I am trying to make a graph of 10 different lines built each from 4 different segments and to add a darker line that will represent the average of all graphs - all in the same plot.Actually each line is a ROC plot The code I'm using for plotting one line is as follows: logit.roc.plot <- function(r, title="ROC curve") { old.par <- par(no.readonly = TRUE);

Hi, I am attempting to plot survival curves estimated by cox proportional hazards regression model. The formula for the model is this: F.cox.weight <- coxph(Surv(Lifespan, Status) ~ MS + Weight + Laid + MS:Laid + Weight:Laid, data = LongF) MS = Mating status (mated/virgin) Weight = adult female weight, continuous covariate Laid = number of eggs laid by each female, continuous covariate I

Does anybody have a workable system to run an Rnw document through R-Sweave when necessary, but to just run it through LaTeX if no new R calculations are needed? I.e., the figures already exist, I do not need R to do more work for me, so I send the document straight to LaTeX. I want to leave open the option that I might need to run the document through Sweave in the future, so I don't want

I'm looking for software that makes plots such as fig 4 (a)-(e), fig 5 anf fig 7 of Gray, Robert, "Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis," 1992, J Am Stat Assoc, pp 942-51. In other words, I'm looking for software that takes survival data and a continuous covariate as input and computes a curve giving log hazard

Dear R Users, I am using R on windows. how to use 'points' function to plot two curves with errbar I am doing like: x.val <- as.integer(names(co2mean)) errbar(x.val, co2mean, co2mean + co2sd, co2mean - co2sd, xaxt='n', col=1, xlab=NA,ylab=NA)# obs error bar lines(x.val, co2mean, col=1, lwd=2) errbar(x.val, co2tm3.month.mean, co2tm3.month.mean + co2sd.tm3, co2tm3.month.mean -

Hi, I want to make a plot with abline where the area below or above the curve is shaded. I can't find any documentation on that. Can anybody help me with that? thanks, Juffi

Dear all, I would like to plot under the same plot many curves like mycdf<-ecdf(runif(100)) plot(mycdf) curve(mycdf,from=-1,to=1) mycdf<-ecdf(runif(200)+3) plot(mycdf) curve(mycdf,from=-1,to=1) as you can see each new call to curve redraws (erases) the window. How I can have an effect like plot(mycdf) lines(mycdf2) lines(mycdf3) I would like to thank you in advance for your help

Hello, Can anyone suggest a simple way to generate a Kaplan-Meier plot with 2 survfit objects, just like this one:? https://drive.google.com/file/d/1fEcpdIdE2xYtA6LBQN9ck3JkL6-goabX/view?usp=sharing Suppose I have 2 survfit objects: fit1 is for the curve on the left (survtime has been truncated to the cutoff line: year 5), fit2 is for the curve on the right (minimum survival time is at the

R-Masters, I need to produce high resolution line plots and place labels on the curves. It seems that cex must be high relative to the other cex values in order to produce sufficiently large & legible tick labels at high resolutions. But high cex values cause the curve labels to become gigantic when using Hmisc. I've struggled and searched the archives, but cannot find a way of

Hi everybody! I'm trying to plot a parametric curve (three dimensions) using R but I didn't obtain good results. Somebody have already done something like that? Please help me! Talita Perciano Costa Leite Graduanda em Ci??ncia da Computa????o Universidade Federal de Alagoas - UFAL Departamento de Tecnologia da Informa????o - TCI Constru????o de Conhecimento por Agrupamento de Dados -