similar to: axTicks.Rd documentation bug

Hi, I am trying to put on one plot two different logarithmic scales, using the bottom and top X-axes. Below there is an example of what I am trying to achieve, using axTicks() -- and fails. I already spent few hours on that, and cannot figure out from ?par and ?axTicks what I am doing wrong. Example follows: ############################################################ #### Data x <-

I using lattice to make some plots and I want to make the y-axis on some of these plots use a log scale. In the following plot: x <- 1:10 y <- 2^x xyplot(log10(y) ~ x) I get tick marks on the y-axis at 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0. I would rather have just 3 tick marks at 1.0, 2.0, and 3.0 but labeled 10, 100, and 1000. I know this can be done using the "at" and

Hi I have patched together (from various sources) the following code to get semi-logarithmic plot. Unfortunately, my labels come out also at intermediate places between 10^2, 10^3, 10^4 etc. Since I put the code together from various sources and do not understand fully how the code is working, I have not been able to get rid of the labels like 10^1.69897, 10^2.69897 etc. I would appreciate if

Hi all, Before posting to r-bugs, I thought that I would just verify this one first. It looks like the help for axTicks() needs to be corrected. It presently says: 'axTicks()' can be regarded as an R implementation of the C function 'CreateAtVector()' in '..../src/main/graphics.c' which is called by 'axis(side,*)' when no argument 'at' is specified.

Dear listers, I have written a function to facilitate the drawing of altitude profiles with x (distance), y (altitude) and a z parameter (altitude magnification). profplot<-function(x,y,z=10,...){ op <- par()$mai par(mai=c(0.95625,0.76875,0.76875,0.95625)) plot(x,y*z, type="l",asp=1,las=1,xlab="",ylab="",yaxt="n",...)

There is still issues with the reversed y-log scale plot: # Test case A: works as expected plot(10:100,log="y",ylim=c(100,11)) grid() par("yaxp") # Test case B: grid does not have horizontal lines; par("yaxp") is different plot(1:100,log="y",ylim=c(100,10)) grid() par("yaxp") In the second test case, axTicks for the horizontal lines (in

Hi all, I need help with axis in plot. I want to edit y axis label of my plot. My data is like: x <- c(100,50,10,1,0.1,0.05,0.001) plot(log(x)) axTicks(2) # Label of y axis [1] -6 -4 -2 0 2 4 I'd like that y axis label was like: e^-6, e^-4, etc. (with text "e" superscript -6, -4, etc.) I try to use expression(), but don't work. plot(log(x), yaxt="n")

I was trying to recreate this kind of timeline plot: http://www.vertex42.com/ExcelArticles/create-a-timeline.html As you can see in their excel example, the events are nicely placed out on both sides of the timeline axis. AFAIK there is no function to do this nicely in R-project. Furthermore, graphics and lattice packages are unable to draw the x-axis in the middle of the plot. (datapoints

Hello all. I have the following: plot(salaries$yearID, salaries$salary, type='n', xaxt='n', xlab='', yaxt='n', ylab='') axis(1, at=unique(salaries$yearID), labels=unique(salaries$yearID), lwd=.25, tck=-0.05) axis(2, axTicks(2), format(axTicks(2), scientific = F)) Which nicely creates the Y axis with the raw numbers, which are in the range of .5 - 7

hi all - i've seen versions of this question before, but none seem to get directly at my solving my (probably very simple) issue: i simply want to annotate the tick marks on an axis with (superscripted) 10^x notation, and tried this: axis(1, at = axTicks(1), as.expression(substitute(10^foo, list(foo = axTicks(1)))) thinking the as.expression/substitute would create the appropriate

When ploting a timeseries, the months are shown with abbreviation in the current language of the system. For example, x <- seq(from=as.Date("2000-04-01"), length.out=100, by=1) y <- rnorm(length(x), 5,2) plot(x, y) Show for me "avi mai jui jul" as I use R with French language localization. I see in the Windows FAQ how to completely change the language of R, but I

Hi list, I wanted to plot an image with a colorbar to the right of the plot, but set my own axis labels (text rather than numbers) to the image. I have previously accomplished this with two calls to image(), but the package 'fields' has a wrapper function, image.plot(), which does this task conveniently. However, I could not add axes to the original image after a call to image.plot(); I

Hi, I was trying to run the following, where the labels on the x axis are dates and need to be converted to characters. It did not work. Any help would be appreciated. Thanks. > text(axTicks(1),par("usr)[3]-2,srt=45,adj=1,labels=as.character(c("2008-01-08","2008-08-10","2008-08-22","2008-09-03", "2008-09-15")), xpd=T, cex=0.8) Error:

Hello, in scilab /Matlab there are functions that can create linear sequences (like R's seq()) as well as logarithmic sequences. Is there a logarithmic aequivalent of seq()? Or maybe this would be an idea for newer R-releases, maybe a type-option with "linear" and "logarithmic" as parameters....?! Ciao, Oliver

Dear R-help, Here's a simple example of nonlinear curve fitting where nls seems to get the answer wrong on a very simple exponential fit (my R version 2.7.2). Look at this code below for a very basic curve fit using nls to fit to (a) a logarithmic and (b) an exponential curve. I did the fits using self-start functions and I compared the results with a more simple fit using a straight lm()

I would like to draw only the ticks of an axis, but not the axis itself. I don't think this can be done using axis(), so I am trying to write a cut-down version in R, which only draws ticks. The point at which I am stuck is that the length of a tick is set by par("tcl") as a fraction of the "height of a line of text". So I would like to draw a line whose length is also

Is there a way to force the number of ticks along an axis ? I read the on-line documentation and tried many combinations of all available parameters from functions par(), axTicks(), axis(), plot() ... but no luck ! Thank you very much, Maura tutti i telefonini TIM! [[alternative HTML version deleted]]

Dear Researches, sorry for the easy and common question. I am trying to justify the idea of RandomForest don't require a transformations (e.g. logarithmic) of variables, comparing this non parametrics method with e.g. the linear regressions. In leteruature to study my phenomena i need to apply a logarithmic trasformation to describe my model, but i found RF don't required this approach.

I need to make a fairly complex animated graphic and decided to use grid for it. A very simple example of what I need: ##============================================================================== library(grid) grid.newpage() pushViewport(plotViewport()) pushViewport(viewport(xscale = extendrange(c(0, 100)), yscale = extendrange(c(0, 100)))) grid.xaxis() grid.yaxis()

Using R, I would like to calculate algorithms to estimate coefficients á and â within the gamma function: f(costij)=((costij)^á)*exp(â*costij).  I have its logarithmic diminishing line data (Logarithmic Diminishing Line Data Table) and have installed R¢s Maximum Likelihood Estimation package; however, I am unsure which method to apply in order to calculate the algorisms (i.e., Newton-Raphson