similar to: hist() with horiz=TRUE does not give horiz. plots (PR#372)

Hi all, I improved a function drawing horizontal histograms (code below) which uses barplot and works fine. It does,however, need to assign a function to the global environment to later find the actual location on the vertical axis, and not the number of bars used by barplot. Hopefully, running the examples below will illustrate that. As said, it works perfectly fine and does exactly what I

Dear r-help, I am trying to plot several scatter plots with marginal histograms on one page. Ideally, a page is equally divided into 4 figure regions. Within each figure region, a scatter plot with marginal histograms will be plotted. I followed Dr. Paul Murrell's code released online to successfully plot the scatter plot with marginal histograms. The code applies "layout()" to

Again me. I want to plot the numbers on the bars of a barplot. This can be done using hist function when setting the label argument true (i.e. data <- c(1,2,3,4) hist(data, labels=T) When I try this using barplot I get an error: > barplot(summary(data), labels=T) Error in axis(if (horiz) 2 else 1, at = at.l, labels = names.arg, lty = axis.lty, : formal

Hi, in order to save space for a publication, it would be nice to have a combined scatter and density plot similar to what is shows on http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=78 I wonder if anybody perhaps has already developed code for this and is willing to share. This is the reproducible code for the histogram version obtained from the site: def.par <-

Hi there, I am wanting to create 8 side-by-side histograms which have been rotated 90 degrees clockwise from how they usually sit.. all with the same scales. Is someone able to help me out? Thanks so much, Rachel Cunliffe -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

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 p?ramo" <percentil101 at gmail.com> escribi?: > 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.

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

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 p?ramo <percentil101 at gmail.com> wrote: > Please, I'm trying to put

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

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

Hi All, When carrying out hist(samples,breaks=50,probability=TRUE), the column values are considerably greater than 1, which seams very unreasonable. The plot is attached. I think the column value of the hist plot should correspond to x$counts/sum(x$counts) (x=hist(samples,breaks=50,probability=TRUE)). The size of data is a little bit larger, causing failure of uploading. If you need the

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 p?ramo" <percentil101 at gmail.com> escribi?: > Hi all, > > I have this code, but the marginal distribution plot doesn?t appear > aligned with the left plot. > > > I think could be

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)) >

Hi, I'm trying to recreate a sensitivity-specificity graph using the histbackback function. The only problem is that these graphs are typically drawn with vertical rather than horizontal bar plots (and the histbackback function only seems to work with horiz=TRUE argument, using "horiz=FALSE" doesn't work). Does anyone know if: 1) there's a different graphing function that

Hi, I couldn't find how to have the values written on the top of each bar in a barplot. When using hist(), it is possible to use labels=T, but this option does not seem to exist for barplot(). Is there a trick I could use to do that ? Thanks to all Luc

Dear all, Our quite basic function mtext() does wrong adjustments in some parameter configurations. This gets obvious when using multi line texts: There is no way to properly adjust text perpendicular to axis 2, for example. Best Jens Oehlschl?gel m <- matrix(1:9, 3) colnames(m) <- c("several\nlines", "several\nlines", "several\nlines") par(mfrow=c(2,2))

Hi, I have created a barplot using the following code. a<-c(11,23,15,34,42,31) m<-matrix(a,nrow=2) m[2,]<-(-1)*m[2,] par(mar=c(4,4,4,0)) barplot(m[2,],horiz=T) par(mar=c(4,0,4,2)) barplot(m[1,],horiz=T,col="black") and the plot obtained is shown in "plot1.tiff". I was not willing to see the gap (vertical space) between two graphs. How can I achieve it? Further

Hello, I'm wondering how to set a value of mar ( par( mar=c(.......)) ) in order to allow labels to be visible in barplot. Is there any relation between the number of characters in a label and the second value of mar? Look at my example. x <- seq(20, 100, by=15) ety <- rep( "Effect on treatment group", times=length(x)) barplot(x, names.arg=ety, las=1, horiz=TRUE) Labels are

Hi, I've just upgraded to 1.9.0 and one of my Sweave files that produces a number of barplots in a standard manner now produces them in a different way. I have made a couple of small changes to my code to get the back the output I was getting before upgrading and now (mostly out of curiosity) would like to understand what has changed. I *think* I've tracked it down to tapply() and/or

I have attached an image file created by R. The image has white horizontal lines between the cells. The image looks OK in the R Graphics window, but has the horiz lines when viewed in Ghostview (after using save.plot) or when printed out using print.plot. There appears to be a problem with the image code (maybe this will go away in the new version). I am running under Linux and am using 61.1.