similar to: Gnuplot fit function in R

Hi, I am wondering if there is a way to call Gnuplot from R and/or if anyone can recommend a package on CRAN capable of doing this? Thanks, Chris PS - Please cc me on the response. [[alternative HTML version deleted]]

Hello, I am trying to send commands to GNUPLOT to load a .plt file that was generated with a C++ software module called with R, and to replot. I am able to open the program with shell.exec (below) but I am at a loss at what do next. Any suggestions?? shell.exec("C:\\ gnuplot \\ bin \\ wgnuplot.exe") Thanks

Hello, I'm new to this and am trying to teach myself some R by plotting biological data. The growth curve in question is supposed to be fitted to the Verhulst equation, which may be transcribed as follows: f(x)=a/(1+((a-0.008)/0.008)*exp(-(b*x))) - for a known population density (0.008) at t(0). I am trying to rework the example from "An Introduction to R" (p. 72) for my case and

Hi, It seems to me that the most suitable method in R for curve-fitting is the use of nls, which uses a Gauss-Newton (GN) algorithm, while the use of the Levenberg-Marquardt (LM) algorithm does not seem to be very stressed in R. According to this [1] by Ripley, 'Levenberg-Marquardt is hardly competitive these days' which could imply the low emphasize on LM in R. The position of LM is, to

Hi, I have some scripts creating GNUplot graphs that I would like to convert to R. It would be a great help if there would be a reasonable converter that takes over plot commands and initial settings and put these into R commands (I'm an R beginner and thus this kind of Kickstart would be helpful). Remark: Asking Google for "gnuplot to R conversion" or similar things does not

Hi, Should be a quickie: I want to make a datafile in R for plotting in gnuplot (which has friendlier 3D plotting options, as far as I can tell). So, I want to create a file with contents along the lines of #File begins 0 0 10 0 13 10 0.2 2 10 1 0 10.12 1 1 5 1 2 10 2 0 10 2 1 1 2 2 10 It's probably fairly easy to write the space-separated numbers with write.table, sink, or similar. But

Dear All, I may look ridiculous, but I am puzzled at the behavior of the nls with a fitting I am currently dealing with. My data are: x N 1 346.4102 145.428256 2 447.2136 169.530634 3 570.0877 144.081627 4 721.1103 106.363316 5 894.4272 130.390552 6 1264.9111 36.727069 7 1788.8544 52.848587 8 2449.4897 25.128742 9 3464.1016 7.531766 10 4472.1360 8.827367 11

Dear useRs, I have a curve which is a mixture of Gaussian curves (for example UV emission or absorption spectrum). Do you have any suggestions how to implement searching for optimal set of Gaussian peaks to fit the curve? I know that it is very complex problem, but maybe it is a possibility to do it? First supposement is to use a nls() with very large functions, and compare AIC value, but it is

Hi all, Like a lot of people I noticed that I get different results when I use nls in R compared to the exponential fit in excel. A bit annoying because often the R^2 is higher in excel but when I'm reading the different topics on this forum I kind of understand that using R is better than excel? (I don't really understand how the difference occurs, but I understand that there is a

Hi, I am trying to fit a function of the form: y = A0 + A1 * exp( -0.5* ( (X - Mu1) / Sigma1 )^2 ) - A2 * exp ( -0.5* ( (X-Mu2)/Sigma2 )^2 ) i.e. a mean term (A0) + a difference between two gaussians. The constraints are A1,A2 >0, Sigma1,Sigma2>0, and usually Sigma2>Sigma1. The plot looks like a "Mexican Hat". I had trouble (poor fits) fitting this function to toy data

In current state dates at small version of pictures generated by night builder script is unreadable ( for example http://llvm.cs.uiuc.edu/testresults/X86/running_loc.png ). I suggest rotate it to vertical position in small picture versions. .png file created modified gnuplot script (for comparing) and patch attached. "set xlabel 0,-1 " added for solving xlabel and xtics text overlap

Hello All, In bash, to re-execute a command, say, 'gnuplot plot.gnu', one can type !gnu. Is there a similar feature in the R console? For example: plot(g1$mean,g2$mean) . . . Lines, many lines of commands ->Here I want to repeat the previous plot command. !plot and plot(+TAB) do not work. This question was asked in this forum back in 2006 but the answer seems to have been lost

Hi- I'm a biologist trying to figure out the growth rate of salamanders in different ponds. I collected individuals from various populations at different dates, and using the size and date collected, I want to figure out the growth curve of each population. My question is: How do I fit my data to a Gompertz function in R? Thank you so much! Sarah -- View this message in context:

Hi, I have a query about the maximum length of vector that can be plotted in one go in a postscript driver. Try the following code (in 1.7.0; version details below): t <- seq(from=0, to=4*pi, length=200000) y <- sin(t) postscript(file="o.ps") plot(t, y, type="l") dev.off() If I view the postscript file o.ps in "gv", it takes many seconds before eventually

Hello, i have a problem with the function nls(). This are my data in "k": V1 V2 [1,] 0 0.367 [2,] 85 0.296 [3,] 122 0.260 [4,] 192 0.244 [5,] 275 0.175 [6,] 421 0.140 [7,] 603 0.093 [8,] 831 0.068 [9,] 1140 0.043 With the nls()-function i want to fit following formula whereas a,b, and c are variables: y~1/(a*x^2+b*x+c) With the standardalgorithm

--------------------------------------------------------------------- Red Hat, Inc. Bug Fix Advisory Synopsis: gnuplot Advisory ID: RHBA-2000:021-01 Issue date: 2000-05-08 Updated on: 2000-05-08 Product: Red Hat Linux Keywords: editing, completion, arrows, history, readline Cross references: N/A

Offlist, because this is (a) an opinion and (b) about statistics and therefore offtopic. I don't know whether any such package exists, but I would predict that this is likely to be overdetermined (too many parameters) and therefore unlikely to be a successful strategy. Fitting a mixture of Gaussians is already difficult enough. Feel free to ignore, of course, and no need to reply. Cheers,

I apologize if this is redundant. I've been Googling, searching the archive and reading the help all morning and I am not getting closer to my goal. I have a series of data( xi, yi). It is not evenly sampled and it is messy (meaning that there is a lot of scatter in the data). I want to fit a normal distribution (i.e. a gaussian) to the data in order to find the center. (The data

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,

Is there a way to do text plots in R? I'd like to do some simple XY plots in R with the output in text (ascii). For example, with gnuplot I can do the following: echo 'set terminal dumb ; plot sin(x)' | gnuplot To generate a simple sin wave. Since I connect to a remote Linux machine using SSH, being able to generate a rough idea of what a plot will look like in text would be