similar to: Job opportunity

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 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

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 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

Prof. Ripley has provided very helpful information regarding X-axis labeling with POSIXct-class dates. Now I've run into another bit of problematic behavior. I'm running R 1.3.0 on Windows NT 4.0. When I create a plot with the optional argument xaxt = "n", and the X axis is generated from dates of class POSIXct, the X axis is plotted. Obviously, I'd like to prevent the X

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 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.

Nonclinical Biostatistics position at Genentech, South San Francisco September 3, 2009 Genentech has an opening for a full time position in its Nonclinical Biostatistics group, located in South San Francisco, CA. The nonclinical group currently consists of ten MS and PhD level statisticians and mathematicians, plus one programmer, who work with approximately 1,000 scientists, engineers, and

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,

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

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

The Quantitative Decision Strategies group at Janssen Research & Development, Johnson & Johnson, is looking for a candidate to represent QDS in Beijing, China in the subsidiary company of Xian-Janssen Pharmacetical Ltd. The basic requirements for this candidate are 1) 3+ years experience in a quantitative field, but not necessarily pharmaceutical; 2) PhD in statistics or related field

hey, µ i have these records in my database, in a many-to-many relationship clients_users 1;66 2;66 3;66 5;66 6;66 7;66 8;66 14;66 15;66 16;66 17;66 18;66 19;66 20;66 21;66 22;66 clients 1;VME Complex Foster 2;VME Res. Canada 3;Twodecode 5;Index 6;Verleye bvba 7;Venus bvba 8;All Building Services nv 14;Vitro-Service sa 15;Vitro-Clean 16;Vecom nv 17;Ultra lean bvba 18;Solar Cleaning Services nv

Hi All, Am looking for Ruby on Rails Developers and Testers for Full time Job Opportunities. Below are the available job opportunities:- 1. Position: Lead/Senior Application Engineer Location: San Mateo, CA Duration: Fulltime/ Contract to Hire Requirements: Developed usable, responsive applications in Ruby on Rails or Java / Spring / Hibernate Experience with UI frameworks (such as RoR and a