similar to: confidence interval for nls

I have data from several sensors that recorded data at hourly intervals during seven months. I want to separate daily variation from the trend, and also be able to zoom in on only one month of data. I have not been able what functions to use, I can not figure out from the help for 'ts' how to use hourly data. I guess this is routine-work for a lot of people so I hope someone can

I have been using R for a few months to plot my data, and fit statistical models and so on. It is stated that R is not only a package for statistcs and graphics but also a programming language. Currently I am working with Fortran 90 to do numerical simulations (1D reactive -transport), and subsequently visualize it in some external software (spreadsheet). As I now started using R I will plot my

I want to create a character vector based on the table (shortened for display) below: Where there are ones in the matrix I want the column name to appear and where there are zeros nothing, which would make the vector in this shortened case: combinations <- ("A B","A C","A E H","A F G","B C D","E G H",A C D E H","A C D F

I really like to use R for all my graphs, and as I work with stable isotopes I want to have a proper chemical notation in my plots I have looked at ?plotmath, but didn't find the answer and also searched the R website. ------------------------------------------------------------------------ -- plot(1:10,xlab=expression(^{14}*C)) # I want to have a superscript with nothing in front, but it

I would like to display output to a tcltk window from e.g. a call to summary(). I tried to get something else than oneliners into a text window of the kind found at: http://bioinf.wehi.edu.au/~wettenhall/RTclTkExamples/TextWindows.html But without success. Henrik ------------------------------------------------------------- Henrik Andersson Netherlands Institute of Ecology - Centre for

Just a small suggestion since Windows have a file system not designed for command line use... Would it be possible to add the possibility of automatically adding/modifying the path to the R executables in the windows installer program? --------------------------------------------- Henrik Andersson Netherlands Institute of Ecology - Centre for Estuarine and Marine Ecology P.O. Box 140 4400 AC

Hello fellow R people, I can not figure out a pretty way to use strplit with vectors Imagine that I got the following data from someone with ID's representing several factors ID data A1-B1-t1 0 A1-B1-t2 1 A1-B2-t1 5 A1-B2-t2 10 A1-B10-t1 0 A1-B10-t2 1 A1-B20-t1 5 A1-B20-t2 10 ... I would like to turn this dataframe to station substation time data A1 B1 t1 0 A1 B1 t2 1 A1 B2 t1 5

Dear R-gurus, I would like to zoom in a plot, e.g. I select a region on the x-axis and then I would like the ranges on the y-axis to change accordingly. Is it possible to do this with existing functions, or do I have to invent some data selection before plotting? See below a short example, where I select ylim with trial and error, which I want to avoid. Cheers, Henrik Andersson

If I want to fiddle with the axes, I normally plot things like this for instance plot(1:5,axes=F) axis(2,labels=letters[1:5]) BUT, if I want to do remove the axes from a scatter plot matrix using i.e. pairs(cbind(runif(10),runif(10)),axes=F) I get Error in plot.default(x[, j], x[, i], xlab = "", ylab = "", axes = FALSE, : formal argument "axes" matched by

I would like to have arrow heads at the end of my axes, since I am plotting variable where the absolute amount is irrelevant, there is not supposed to be numbers on the axes. An imperfect example: plot(rnorm(10),bty='l',xaxt='n',yaxt='n',ylab='',xlab='',type='l') abline(h=0) Like this but without, the xaxis and with arrrowheads More like this in

I have tried to get signif, round and format to display numbers like these consistently in a table, using e.g. signif(x,digits=3) 17.01 18.15 I want 17.0 18.2 Not 17 18.2 Why is the last digit stripped off in the case when it is zero! Is this a "feature" of R or did I miss something? --------------------------------------------- Henrik Andersson Netherlands Institute of

I have used Sweave a lot the latest year, but never really used any long function calls. If I have code which look like this ------------------------------------------------------------- gof <- benthic.flux(ID="Gulf of Finland", meas.conc=conc, bw.conc=bw.conc, time=times,

I am about to write general functions to read the output of simulations models. These model generate output files with different sections which I want to analyze plot etc. Since this will be used many people at the department I wanted to make sure that will do this in the best way. For instance I want to read a snippets of data from a text that look like this.

Hello R-people, I have a function which plots two figures next to each other using if(dev.cur()==1) x11(width=14,height=7) to create a new window and set the size of the window automatically if no device is open. This works fine in interactive mode but I don't know how Sweave gets the parameters for the figures, and right now the default behavior causes this figure to be square and the

Here's another way: > dat <- read.table("clipboard", header=TRUE)[,-(1:3)] > dat A B C D E F G H 1 1 1 0 0 0 0 0 0 2 1 0 1 0 0 0 0 0 3 1 0 0 0 1 0 0 1 4 1 0 0 0 0 1 1 0 5 0 1 1 1 0 0 0 0 6 0 0 1 0 1 0 1 1 7 0 0 0 1 1 1 0 1 8 1 0 1 1 1 0 0 1 9 1 0 1 1 0 1 1 0 > apply(dat > 0, 1, function(idx) paste(names(dat)[idx], collapse=" ")) 1 2

Hello I would like to make a graph with two variables, with different units, so I would like to have two y-axes, one on the left and one on the right with different scales. Is this possible? I have searched through all the documentation I could find on the R homepage without luck and I like R very much and would rather not resort to using something like SigmaPlot for this seemingly simple thing.

I apologize in advance for posting a question not related to R. I need references to papers that use multiple linear regression in an industrial application and also in a biological experiment. This is aimed to biologists/chemists (non-statisticans) so if anyone has written a brilliant paper where the use of multiple regression is important and also understandable to people with little

I got a question from a fellow PhD student that work with spectrum analysis in Excel and now he has lots of spectrums that needs to be smoothed, which would be nice to be able to do in batch. Is there an R package that can do: Savitzky-Golay smoothing for reflectance spectral data or a function that does something similar. _______________________________________ Henrik Andersson

Hi, I am trying to solve a model that consists of rather stiff ODEs in R. I use the package ODEsolve (lsoda) to solve these ODEs. To speed up the integration, the jacobian is also specified. Basically, the model is a one-dimensional advection-diffusion problem, and thus the jacobian is a tridiagonal matrix. The size of this jacobian is 100*100. In the original package

Hello all, I am planning to redeploy my workstation under KUBUNTU. Does any body has any r experience installing/using r on this platform? Best regards. -- Constant Depi??reux Managing Director Applied QUality Technologies Europe sprl Rue des D??port??s 123, B-4800 Verviers (Tel) +32 87 292175 - (Fax) +32 87 292171 - (Mobile) +32 475 555 818 (Web) http://www.aqte.be - (Courriel)