similar to: behavior of xaxt = "n" with POSIXct dates

I have a series of datasets, each containing pH measurements and manufacturing dates, and each dataset pertains to a different manufactured product. I'm trying to create a series of plots of pH measurements by date, but the default X-axis labeling behavior is not giving adequate results in this particular case, and I can't figure out how to persuade R to come up with something more

I'm pleased to announce that my employer, Becton Dickinson, has an open position for software implementation in the Matlab and S languages. If interested, send a cover letter and resume (or CV) to Dr. Richard Moore at richard_moore at bd.com. If you have questions, contact myself (at jim_garrett at bd.com) or Dr. Moore. Below find a position description. Jim Garrett Becton Dickinson

System: Windows NT 4.0 450 MHz Pentium II, R version 1.3.0 (will upgrade soon). Is there some way to force the command-line interface to print information to the screen before evaluating the next expression? For example, if I put the following in a file: cat("Select a file\n") filename <- file.choose() and source the file, I don't see the instruction "Select a file"

I'm running into problems with set.seed--maybe I'm misunderstanding something. I'm running R 1.5.1 on Windows 2000. I'm basically trying to capture the random seed so that I can reproduce a simulation if it's necessary later. Using set.seed, I can certainly get reproducible results, but not the results I get on the first pass. Here's an example: # Generate a random

I'm using R 1.9.1 on suse server v9 enterprise with the gee package version 4.13-10. I have code that runs in an automated script. It uses the gee function from the gee package. The script is run quite often without error. I have a problem where the script locks up R when calling this function (it starts execution and never finishes). I was able to track down the offending data and determine

I'm looking into making R functions available from a Visual Basic application. Venables and Ripley point out in _S Programming_ that this is possible with automation via DCOM and by linking to R DLL(s) at compile time. I'm intrigued by the latter possibility, and would appreciate information anyone might be able to provide, especially: 1. Do I need to link to R.dll only or would I need

I'm learning to use R/Sweave/LaTeK to write my stat reports. Is there a way to have an executive summary in the beginning while still having the analysis code embedded? For example, a study has three independent objectives so I want my report to have three sections. Ideally the code chunk that answers the first objective would be embedded in the first section and so on.

All, I have long variable names that are being fed through splom (R 1.8.1). I'd like to resize the text printed on the diagonals to better display the names (unless anyone can suggest another approach - creative use of varnames). I've looked at the code, R-Help, ?splom and the Trellis User's Guide to no avail. Any suggestions? Thanks in advance, Max Kuhn, Ph.D. Becton Dickinson

Reshape2 is a reboot of the reshape package. It's been over five years since the first release of the package, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focussed and much much faster. This version improves speed at the cost of functionality,

Reshape2 is a reboot of the reshape package. It's been over five years since the first release of the package, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focussed and much much faster. This version improves speed at the cost of functionality,

Reshape2 is a reboot of the reshape package. It's been over five years since the first release of the package, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focussed and much much faster. This version improves speed at the cost of functionality,

Reshape2 is a reboot of the reshape package. It's been over five years since the first release of the package, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focussed and much much faster. This version improves speed at the cost of functionality,

While the subject is new features, here''s something I''d like to see. I''d like to have a way for shorewall to be able to monitor a log file and take an action when a condition is met. For instance, if Shorewall could monitor /var/log/httpd/access_log for entries which I have defined (and know to be an attack), and then take an action such as blacklisting a host or domain

plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations

plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations

I couldn't resist tossing in my two-cents' worth on this, because R has some language features that allow you to use efficient optimization routines in a straightforward, elegant way. I'm particularly enthusiastic about this because I have suffered through other languages, which made this approach either painful or impossible, depending on the problem. Thanks to the R development

To R-people I recently downloaded an rpm for suse-linux of R-1.0 for suse 6.3. There plot(tx,spax,type='l',ylim=range(ytx),ylab="",xlab="",xaxt="n",yaxt="n") does not seem to supress printing on the axis. The same statement seemed to work well in R-0.9 on a redhat 5.2 (compiled by myself). Has anyone had the same experience? regards Helgi

Hi, The argument xaxt="n" for removing the x axis from a image plot does not work for me. I'm really using a function called plot.grassmeta() in library GRASS that is a wrapper for image(), but it seems to me that the problem is not in plot.grassmeta() but in image(). If I'm right could you tell me if there is a way to remove one axis from a call to image()? Thanks and wishes,

Dear All, Under WinNT4.0sp5 using the binaries downloaded from CRAN (version 1.0.0), if I want to do a plot without the tick-marks and numbers on the x-axis, the following: > x <- rnorm(10) > y <- rnorm(10) > plot(x, y, xaxt="n") does not give what I expect, i.e. it gives the same than "plot(x, y)". However, the following works: > par(xaxt="n")

I'm trying to write a function that has a dataframe as an argument. Within the function, I call groupedData to create a grouped-data object from the dataframe argument. However, the groupedData function doesn't seem to see the data. I'm guessing it's getting the argument name rather than its value, but I'm not positive. My system: R 1.3.1 on WinNT 4.0 (Pentium II), nlme