Re: [R] odfWeave repeats output
On Fri, Aug 12, 2011 at 11:10 AM, Chris Beeley chris.bee...@gmail.com wrote: I'm having a problem with odfWeave. I'm still testing it out, and have used both of these code chunks, which I copied off a blog: ... The really weird thing is that I have replicated the problem across two operating systems (dual boot on the same computer), windows 7 64bit and Linux Mint 11 (which is Ubuntu, not sure which version I'm afraid). I've been unable to find anyone on any forums or anything with the same problem. Using R v2.13 on Windows, v 2.12 on Linux, was using RStudio but just tested it without (just in case) and it does the same thing. Any suggestions gratefully received. You might try downgrading to an earlier version of the XML package (e.g. version 3.2.0). See this thread https://stat.ethz.ch/pipermail/r-help/2011-May/278068.html HTH, Rainer __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] microsecond timestamp support
On Sun, May 1, 2011 at 15:33, Joel Reymont joe...@gmail.com wrote: Does R have support for microseconds in timestamps, e.g. when reading this in Time,Include,Kind,Duration 2011-04-01 14:20:36.368324,Y,U,1.03238296509 2011-04-01 14:20:35.342732,Y,C,0.0252721309662 2011-04-01 14:20:34.337209,Y,R,0.00522899627686 See ?strptime: Specific to R is %OSn, which for output gives the seconds to 0 = n = 6 decimal places (and if %OS is not followed by a digit, it uses the setting of getOption(digits.secs), or if that is unset, n = 3). Further, for strptime %OS will input seconds including fractional seconds. Note that %S ignores (and not rounds) fractional parts on output. dat - read.table(textConnection( 'Time,Include,Kind,Duration 2011-04-01 14:20:36.368324,Y,U,1.03238296509 2011-04-01 14:20:35.342732,Y,C,0.0252721309662 2011-04-01 14:20:34.337209,Y,R,0.00522899627686'), header=TRUE, sep=,) R dat$Time - as.POSIXct(dat$Time, %Y-%m-%d %H:%M:%OS6) R dat$Time [1] 2011-04-01 14:20:36.368 2011-04-01 14:20:35.343 [3] 2011-04-01 14:20:34.337 R options(digits.secs=6) R dat$Time [1] 2011-04-01 14:20:36.368324 2011-04-01 14:20:35.342732 [3] 2011-04-01 14:20:34.337209 R class(dat$Time) [1] POSIXct POSIXt HTH, Rainer __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] eps file
On Thu, Sep 23, 2010 at 8:05 AM, KAYIS Seyit Ali s_a_ka...@yahoo.com wrote: I need to create eps file which is the required figure format of the journal that I want to submit a paper. I am able to create files in pdf or wmf format but not in eps format. Is there a way to convert pdf or wmf to eps? or alternatively, how can I create an eps file in R? see ?postscript The postscript produced by R is EPS (_Encapsulated PostScript_) compatible, and can be included into other documents, e.g., into LaTeX, using '\includegraphics{filename}'. For use in this way you will probably want to use setEPS() to set the defaults as horizontal = FALSE, onefile = FALSE, paper = special. dev.copy2eps: for copying from screen to EPS. Xpdf (http://www.foolabs.com/xpdf/) includes a pdftops utility for converting PDF files to (Encapsulated) PostScript. HTH, Rainer __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Neural Network
2010/7/18 Arnaud Trébaol arnaud.treb...@mail.polimi.it: Hi all, I am working for my master's thesis and I need to do a neural network to forecast stock market price, with also external inputs like technical indicators. I would like to know which function and package of R are more suitable for this study. Thanks a lot for your response, Arnaud TREBAOL. See also the following article in the current issue of the R Journal: neuralnet: Training of neural networks http://journal.r-project.org/archive/2010-1/RJournal_2010-1_Guenther+Fritsch.pdf -Rainer __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.