On Tue, Jun 07, 2011 at 10:30:12AM -0400, Gabor Grothendieck wrote: > On Tue, Jun 7, 2011 at 9:03 AM, oliver <oli...@first.in-berlin.de> wrote: > > Hello, > > > > I have some ideas for packages that I want to provide on R-CRAN. > > > > One package alreads is working, but I have some warnings in > > when compiling. Also I don't know if the libraries in use are only > > working on Unix/Linux. > > > > So I have some general questions: > > > > - If I'm not sure if the code would also work on windows > > (needing some ceratain libraries or tools), > > would it be better to mark it as Unix-like only? > > > > Would other people, who are interested in using the package > > on Windows, then look for the other issues? > > > > (I'm just interested in providing the functionality, and I don't use > > Windows, > > so compatibility would not be my main goal, if it's using certain > > libraries; > > but if the code is not relying on certain libs or tools I of course > > write > > code ANSI-conform, so that it *should* compile on windows too.) > > > > I mean: I just want to have the work for Unix/Linux, but in general like > > the > > platform-independent approach. I just have no interest, looking at the > > windows > > side too much. Are there people from R-CRAN team, who help at that point > > to make > > things available on many platforms? > > > > > > - I have in mind packages for reading a lot of different files / > > fileformat. > > How to name them? > > it would be consequent to name them > > read.<fileformat> > > but I'm not sure if this naming style is reserved for OO-methods only, > > and that topic I will learn later in detail, so that at the moment > > I just would provide the raw functionality. > > > > Maybe the name of the reading function should then better be named > > read<filefomat> or <fileformat>read ? > > > > - There are a lot of different fileformats that I want to read in. > > > > Would it be better to make for each format one different package, > > or rather put them all together as a package "Readmisc"? > > > > For example the following formats I have in mind: > > > > - jpeg (libjpeg62) => already working, I want to > > clean up the code and > > documentation > > soon and then provide on > > R-CRAN > > > > Note existence of read.jpeg in the rimage package, read.gif in the > caTools package and readPNG in the png package.
read.jpeg in rimage does not give me a matrix like I would extpect in R, for further working with the data. It gives me an imagmatrix, which's value I can't access directly. I only have a data structure that is closed to the functionality that the rimage module provides. Maybe I have overseen something, but how would I plot a histogram of R, G and B values and the according grayvalue's histogram? With my libjpeg reader it would be: library(libjpeg) pic <- readjpeg( picfilename ) par(mfrof=c(4,1)) hist( pic$r, breaks = 256, col="red") hist( pic$g, breaks = 256, col="green") hist( pic$b, breaks = 256, col="blue") hist( pic$bw, breaks = 256) How would that be possible with rimage? read.gif in caTools is giving back a matrix, and hence it's a fine function. caTools btw. offers a lot of very interesting functions. :-) readPNG of png package is agood hint, I didn't knew that. > > > - bvh (maybe (f)lex or yacc or pcre) => want to start this soon > > > > - apachelogfile /maybe using pcre) => starting date not planned > > > > - some other formats also > > > > > > - Other package ideas: rolling application (which uses R's built in types, > > not like zoo() using special types) > > rollapply and related functions in the development version of zoo do > work with ordinary vectors and matrices: Ah the it's a new feature, which is not offered in the packages I can install with install.packages and the default settings for this. I had to use as.zoo() around my data to use rollapply from zoo-package. > # install development version of zoo > install.packages("zoo", repos = "http://r-forge.r-project.org") Aha. OK, thanks. What about the documentation. if I look for it on r-cran, but the module is form r-forge there will be a mismatch. > > > > library(zoo) > > rollmean(1:10, 2) > [1] 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 > > rollapply(1:10, 2, sum) > [1] 3 5 7 9 11 13 15 17 19 > > rollmean(1:10, 2) > [1] 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 > > rollapply(cbind(a = 1:10, b = 11:20), 3, sum) Yes, with that version it works. :-) Ciao, Oliver ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel