similar to: xlim, ylim problem in barplot (PR#325)

The following commands illustrate a problem with graphing relatively large data sets using the "line" option to plot: temp <- runif(200000) # or whatever other numbers you like; # same thing happens with a sine wave plot(1:200000, temp) # everything fine plot(1:200000, temp, type="l") # data gets cut off The number of points isn't crucial. The cutoff point

Hi, all. I'm not sure whether this is a problem with ESS or R (or even a feature I don't understand!). Say I've got a function named f.count.these.patterns (as I do -- I'm using actual names in case they're somehow important). I previously had a version called f.count.these.patterns.3, but discarded it because it was worse. So the function is no longer there. If I create a

R Version 2.2.0 Platform: Windows When I use barplot but select a ylim value greater than zero, the graph is distorted. The bars extend below the bottom of the graph. For instance the command produces a problematic graph. barplot(c(200,300,250,350),ylim=c(150,400)) Any help would be appreciated. Paul [[alternative HTML version deleted]]

If you are using a Windows system, you can Export the plot from RStudio and save it as a metafile without using package devEMF and it will crop the bars with xpd=FALSE. When I used devEMF on a Windows machine, the bars were not cropped with barplot() as you indicated, but when I switched to plotrix::barp() they were cropped. The arguments are a bit different, but I did not need xpd=FALSE:

Thank you David, That's a nice workaround using plotrix::barp(), but that doesn't explain why ylim doesn't work as intended (or at least, as I expect it to work), or why xpd has no influence when using devEMF::emf()... The problem with saving directly in RStudio is that it requires to manually save the plot, and this becomes troublesome when there are a lot of plot commands in a

Hello, all. I've got what is probably a simple question about comparison of models using anova, specifically about the situations in which it's valid. I understand, I think, what's going on when the models are strictly nested (as most are in the demo(lm) examples). My question involves what happens when the models aren't strictly nested. In my particular case, I'm doing

The following single line of code shows what I am trying to do, and the problem I am having... barplot(c(101,102,103),ylim=c(100,103)) The 'xaxis' is missing, and the grey bars 'fall off' the plot area. This is generally ugly, and I would like to trim the bars (ideally they would have a ragged appearance to show that I am 'zooming in'). I can see why what I am trying to

Dear useRs, I'm having troubles with using ylim in barplot(): even though I reduce the y-scale using ylim, the bars still extend down to 0into the x-labels. The sample data is below, and here is the code. #This works fine but I would like to plot only from 50 to 70: barplot(t(mydata), beside=TRUE, col=c("orange", "green", "yellow", "purple"),

Hi, all. Does anyone have an equivalent to Splus "peaks", which finds local maxima (with locality defined by a parameter "span")? I thought I'd check whether anyone has done it already before trying to put something together myself. Thanks, Matt Wiener -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi all, - how can I do a barplot with rotated axis labels? I've seen the example for just a plot in the FAQ, but I'll missing the coordinates to plot my text at the right position beneath the bars. Is there any (easy?) solution? - how can I set the y-axis in a barplot to logarithmic scale? Many thanks in advance! Best Regards Tom --

Full_Name: Matthew Wiener Version: 1.1.1 OS: linux Submission from: (NULL) (156.40.248.102) I've come across a glitch in hist. I can reproduce it on linux for Intel, linux for PPC, and Irix 6.5. t1 <- c(41, 42, 42, 43, 43, 43, 44, 44, 45, 46) hist(t1, breaks = 10) (OK) hist(t1/50, breaks = 10) Error in hist.defauilt(t1/50, breaks = 10): some 'x' not counted; maybe

Hi, all. The following does not behave as I think it should, and as it seems to me it has in the past (although I can't check this easily). I know it happens in both R-0.64.2 and R-0.65.0 on an old Power Computing running Linux-PPC 1999, and in R-0.64.2 on an SGI running Irix 6.5. Try the following: t1 <- data.frame(matrix(rnorm(16), nc=4)) > t1 X1 X2 X3 X4 1 -0.7206945

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

Hello, I try to make barplots with rather wide labels. A simplified example of this: x <- c(12, 33, 56, 67, 15, 66) names(x) <- c('Richard with a long surname','Minnie with a long name,'Albert','Helen','Joe','Kingston') barplot(x, las = 2) Now the label 'Richard with a long surname' is too long to fit beneath the bars. A simple solution

Dear all, I am trying to make a barplot with clustered pairs of bars, using class=numeric data and the following command: barplot(c(bline_precip[10,9], bline_runoff[10,9], cccma_precip[10,9], cccma_runoff[10,9], csiro_precip[10,9], csiro_runoff[10,9], ipsl_precip[10,9], ipsl_runoff[10,9], mpi_precip[10,9], mpi_runoff[10,9], ncar_precip[10,9], ncar_runoff[10,9], ukmo_precip[10,9],

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

Hi, all. The help file for tapply says that if simplify is true, and the result of the calculation is always a scalar, then tapply will return a vector. Nonetheless: > t1 <- tapply(runif(10), rep(1:5, 2), mean) > is.vector(t1) [1] FALSE > is.array(t1) [1] TRUE > I have found this in version 0.65.1 on an SGI running Irix 6.5, and on a Mac running Linux-PPC. I've also

Hello All: Can anybody tell me what is the problem with my program please. I have an error message as appears below. My program is: ifn <- "Jul08_09.LM" data <- read.table(ifn) ofn <- "Jul.png" bitmap(ofn, type = "png256", width = 30, height = 30, pointsize = 30, bg = "white",res=50) par(mar=c(5, 5, 3, 2),lwd=5)

Hi, all. In trying to compile R v.0.90 on an alpha running Red Hat Linux 6.0, I'm getting the following error: make[3]: Entering directory `/home/mcw/alpha-R/R-0.90.0/src/appl' gcc -I. -I../include -I../../src/include -DHAVE_CONFIG_H -mieee -g -O2 -c cpoly.c -o cpoly.o /tmp/ccPjZNwd.s: Assembler messages: /tmp/ccPjZNwd.s:312: Error: unknown opcode `sqrttsu' /tmp/ccPjZNwd.s:2631:

Hi I am trying to understand the "space" argument to barplot() and I think it is not working as stated. The docs say: space: the amount of space (as a fraction of the average bar width) left before each bar. Which means that I can pass a vector, the same length as the no. of bars, and the nth element of that vector will be the space left before the nth bar. This is