similar to: How to plot data in logarithmic scale

I'm using the {lattice} "levelplot" function to make a (more or less) 2-d histogram, and for the most part it's working fine with my data. However, I can't get the color key to do what I need. I can give it labels and custom cutoffs, but my cutoff lines (and hence my labels) aren't evenly spaced, instead they're more-or-less logarithmic, starting at

> My question is not about statistics but more obviously about an R command. > I would like to plot an histogram with a logarithmic scale. I have > searched through R documentation and have read about the "log" option. > What matters is that it does not work with the hist() function. I'm > working with R version 1.2.3 . Maybe the problem has been solved in R 1.3 > .

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 <-

Hello! If I use the errbar-function and have a logarithmic scale on the x-axis, then the little horizontal bars at the end of the errbars (cap) disappear. What can I do? Thanks for helping! Ute

x <- c(6.6493705109108, 7.1348436721241, 8.76886994525624, 6.12907548096037, 6.88379118678109, 7.17841879427688, 7.90737237492867, 7.1207373264833, 7.82949407630692, 6.90411547316105) plot(ecdf(x), log="x") It does the plot fine, but complains: Warning message: In xy.coords(x, y, xlabel, ylabel, log) : 1 x value <= 0 omitted from logarithmic

Hello; Can anyone tell me how to set my y-axis to a probability scale on an ECDF plot? Or alternatively, how to generate a plot of percent cumulative probability against concentration? DASplusR does this and calls it a CP plot, but I would like to be able to generate this outside of DASplusR- Thank you! [[alternative HTML version deleted]]

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 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.

How can perform logarithmic binning in the scatterplot? I could only take the log of the variables and plot them, but I am sure that is not the way. I have a very huge data, and would want to plot those high density scatterplots and code then with different colors for the bins/density. -- View this message in context:

Hi there, I guess this must be a standard issue, but I'm starting to go crazy with it. I simply want a plot with the x axis being logarithmic, having labels 1, 10, 100..., and ten unlabelled ticks between each of them - just as they introduce logarithmic axis at school. I've played around a bit with log="x", xlog=T (where exactly is the difference here?), xaxp, and xaxt

Dear all, I am trying to produce survfit plots in a trellis environment and I would like the plots to be logarithmic. I am trying this: print(Ecdf(~time | size*type, groups=alg,data=B,subscripts=TRUE, panel=function(x,groups,subscripts) { t <- survfit(Surv(time[subscripts],event[subscripts])~groups[subscripts],data=B)

This should be simple but I am struggling. I like to easily switch in xyplot between a linear or logarithmic y-axis by setting a logical flag logY to False or True. This switch changes the scales argument of xyplot. I found out that the original two-dimentional data (Conc vs Time in my case) are converted to log10(Conc) if log=TRUE in scales, but it appears that functions like panel.curve need to

Hi, I am searching for a possibility to display a logarithimic y-axis in a histogram. With plot that's easy (e.g. plot(1:10, log="y") but for histograms this does not work the same way: I tried hist(rnorm(1000), freq=FALSE, seq(-4, 4, .5), ylim=c(0.001, 0.5), log="y") Which gives the expected histogram but also warnings for my log="y" command

dear useRs, i want to overlap graphs of two matrices in such a way that the y-axis of graph should be "logarithmic" against normal x-axis. i am, unsuccessfully, trying the followings >matplot(mata, log="mata",type = "l", col="red)>lines(mata, log="matb",type = "l", col="yellow") could you please help me out on it?? thanks in

Hello, Sorry if this process is too simple for this list. I know I can do it, but I always read online about how when using R one should always try to avoid loops and use vectors. I am wondering if there exists a more "R friendly" way to do this than to use for loops. I have a dataset that has a list of "ID"s. Let's call this dataset "Master" Each of these

Hi, from what you're writing: "The logaritmic transformation "shapiro.test(log10(y))" says: W=0.9773, p-value= 2.512e-05." it seems the log-values are not distributed normally and so original data are not distributed like a log-normal: the p-value is extremally small! Other tests for normality are available in package: nortest compare the log-transformation of your ecdf

I'm going to use dhyper(x, m, n, k) to get a 95% coverage. Let me use an example to explain my problem: Suppose I have a urn containing 90 red and 10 black balls. Now I wanna remove 3 from the urn. By the following codes: m<-90;n<-10;k<-3; x<-0:3 dhyper(x,m,n,k) I can obtain the probability that 0,1,2,3 red balls will be removed. 0.000742115 0.025046382 0.247680891

Hi, i want to plot empirical cumulative density functions for two variables in one plot. For better visualizing the differences in the two cumulative curves I'd like to log-scale the axis. So far I found 3 possible functions to plot ecdf: 1) ecdf() from the package 'stats'. I don't know how to successfully set the log.scales? Combining two plots is not a problem: plot(ecdf(x1))

Here are another three problems with logarithmic scales: 1) segments() does not work with logarithmic scales. I suggest to change lines 962-973 in "plot.c": for (i = 0; i < n; i++) { if (FINITE(xt(x0[i%nx0])) && FINITE(yt(y0[i%ny0])) && FINITE(xt(x1[i%nx1])) && FINITE(yt(y1[i%ny1]))) { GP->col = INTEGER(col)[i % ncol];

I was optimizing a 650MB using ferret (0.11.3) and I received the following error. I''ve seen some people have similar issues but I haven''t seen any resolutions. The contents of the index directory follow the error. Has anyone seen anything like this and found a resolution? Many thanks. /mnt/apps/search/releases/20070622175637/script/../config/../vendor/