similar to: plot, xlim to cut data set

I have some code as shown below. Basically, I would like three boxplots to be set next to each other with no ylabels on the two "inner" plots, and I want the same x axis range on all three. However, it seems like boxplot does not respect the xlim setting. I've tried the various ways I thought would work (par, boxplot(...xlim=)) but none of them seem to work. I then tried plot.window,

Full_Name: Fran?ois Birgand Version: 2.9.0 OS: windows xp Submission from: (NULL) (152.1.16.161) When I type this sequence: x11() Ylim<-c(0,14) Xlim<-c(0,14) plot(0,0,xlim=Xlim,ylim=Ylim,col="white",main="",xlab="",ylab="",bty="n",xaxt="n",yaxt="n",xaxs="i",yaxs="i",asp=1)

Hello, I want to plot 6 line graphs. I have 10 points 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 and 1.0. At each point say 0.1, I have 6 variables A, B, C, D, E and F. The variables all have values between 0 and 1 (and including 0 and 1). I also want to label the x axis from 0.1 to 1.0 and the y axis from 0.1 to 1.0. My goal is to plot a line graph representing the mean of the variables at each

Hi, I try to create a vertical line in my plot, which has a xaxis comprising time formated data. This is what I tried: ---------------- y<-152833 x<-strptime(y, format="%H%M%S") abline(v=x, col="red") ---------------- for some reason, it doesn't work and no error msg is displayed... I hope someone can tell me what I do wrong, or maybe an alternative. Thanks

code: op <- par(bg='black',fg='gray',col='gray',col.axis='gray',col.lab='gray',col.main='gray',col.sub='gray',mai=c(0,0,0,0), tck = 0.01, mgp = c(0, -1.4, 0), mar=c(0,0,0,0)) plot(x,y,ylim=c(-20,20),xlim=c(min(x),max(x)),pch='X',col = rgb(1,1,1, 0.5),yaxt="n", ann=FALSE) abline(v=c(min(x),max(x)), lty=3,

Very much a rookie at R, and have only recently started using it again so pardon the simple question. I am trying to produce a box plot from one data set and then overlay a line plot from another data set. The box plot data set is made up of 20 sets of 30 data points, or 600 total data points. The line has only 30 total data points. The box plot is plotting fine, but for some reason, the line plot

Dear all, I have a function that for a variable number of inputs plots them to the same plot I am doing this quite simply by plot(seq(from=start, to=stop, length.out=np), datalist[[1]]$dataset                                                                  xlim=c(start, stop), ylim=c(0, 1), type="l")                                                                                      

Dear all, I have a large vector (lets call it myVector) and I want to plot its value with the logic below yaxis<-myVector[1] yaxis<-c(xaxis,mean(myvector[2:3]) yaxis<-c(xaxis,mean(myvector[4:8]) yaxis<c(xaxis,mean(myvector[9:16]) yaxis<c(xaxis,mean(myvector[17:32]) this has to stop when the new ..... yaxis<c(xaxis,mean(myvector[1024:2048]) will not find the correspondent number

Dear friends. As promised ver 1.01 solved the former problem and now dates plot OK in windows. But. In the following code, "cex.axis"=0.5 works OK but "xaxp"=c(14620,14680,4) has seemingly no effect. The limits for xaxp was found from the default plot and inspecting par(). I need to put the date marks at specific points. Could I suppress them altogether and make a new xaxis

Dear All, I am trying to produce log-log plots in R and I was wondering if any of you have a 'template' for generating these with 'nice' labels and log-log grids? I know I can set up axes individually and use the intervals I want, however, I will be producing a large number of these plots and would not like to do this manually for each of them + I am very new to R and at the

Hi everyone I want a square scatterplot with abline(0,1) going exactly through the SW and NE corners. By "square" I mean that the plotting region is exactly square, and that the axis limits are identical. x <- 1:20 y <- x+rep(c(-1,1),10) lims <- range(c(x,y)) None of the following do this: plot(x,y) ; abline(0,1) #not square plot(x,y,asp=1);abline(0,1) #diagonal

Hi I used R for the first time yesterday. I wanted to plot the aliasing effect of sampling a 5.5KHz sinusoid at only 8KHz (below the Nyquist limit). So I wrote a small R script that a) plots 1msec worth of a 5.5KHz sin wave b) plots 1msec of the resulting 2.5KHz alias and c) plots the 8 sampling points on the 5.5KHz source wave. I think I have found a bug. The script is as follows:

Hi, Still fresh in R, tried to figure this out, now on my second day running with no luck (and a pile of hair on my desk) so I have thrown in the towel and would like to ask for some help. Here is what I am trying to do. I am trying to plot a distribution, I have 99 points, bound in the range xlim.min: -0.0173 xlim.max: 0.02103 However, I have a value outside this range (0.2454959) which I

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 r-users, I would like to add a plot of vertical line segment with arrow from (77,.6) to (77,0) and also a horizontal  line segment with arrow from (0,0.6) to (77,.6) .  So far this is what I have: plot(sq, cdf, type="l", lwd=4,col="blue",xaxs="i",yaxs="i", xlab= "Rainfall (mm)", ylab= "Random no.", main="Random number  and

Hi, I'm trying to modify this function.I want to remove the existing xaxis(the tick marks and the values below each tick) and make it dynamic so that i can choose whether i want the xaxis at the top or bottom but i cant seem to change that.can somebody help me? plot.Sample <- function(x,xlab=NULL,ylab=NULL,...){ sampletest <- is.Sample(x,argname="'x' ") if

Hi All, I am running a scatter plot and trying to add a best fit line. I use an abline function, but get no line drawn over the points. I also get no error. I arm using V 2.10.0 on Windows 7. Here is my code, including the SAS transport file import: require (foreign) require (chron) require (Hmisc) require (lattice) clin <- sasxport.get("y:\\temp\\subset.xpt") attach(clin)

I want the curve to touch the y axis like the curve touches the upper boundary. How can I eliminate the margin between axis and curve on the left side? x1 <- c(1,2,3,4,5) x2 <- c(2,4,6,8,10) mod <- lm (x2~x1) hm <- function (x) (mod$coe[1]+x*mod$coe[2]) plot.new() # ... box() curve (hm,lty=1,add=T,xaxs="i",yaxs="i") (R 2.8.1) -- Sensationsangebot verl?ngert: GMX

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

I know that by setting alpha to for example col = rgb(0, 0, 0, 0.1) it is possible to see how many overlapping is in the plot. But disadvantage of it is that single points are barely visible on the background. So I wonder if there is possible to make setting that single points would be almost black, but with more and more data on the same spot it would get more and more whiteish. Or maybe it is