[Ricardo Rodriguez] Your XEN ICT Team
2008-Apr-29 07:23 UTC
[R] generic question -> Genomics with R
Hi everybody, I am trying to make my mind about the use of R for Computational and Statistical Approaches to Genomics. I know this is a vaste field: this is the main reason why I am sending this message to this always useful list! Any key/entry point to this field will be extremely welcome! Please, could you help me to go in the right direction? Thanks!!! Ricardo -- Ricardo Rodr?guez Your XEN ICT Team
Hello, On 4/29/08, [Ricardo Rodriguez] Your XEN ICT Team <webmaster at xen.net> wrote:> I am trying to make my mind about the use of R for Computational and > Statistical Approaches to Genomics. >[..]> Please, could you help me to go in the right direction? >I am not sure what pointers you are looking for, but checking the CRAN Task Views [1] may be a starting point. Liviu [1] http://cran.r-project.org/web/views/index.html
I'm not sure what you are trying to do with R, but maybe you should take a look at the Task Views and see if there is something you can use at your field of work: http://www.stats.bris.ac.uk/R/web/views/ Bart Ricardo Rodr?guez wrote:> > Hi everybody, > > I am trying to make my mind about the use of R for Computational and > Statistical Approaches to Genomics. > > I know this is a vaste field: this is the main reason why I am sending > this message to this always useful list! Any key/entry point to this > field will be extremely welcome! > > Please, could you help me to go in the right direction? > > Thanks!!! > > Ricardo > > -- > Ricardo Rodr?guez > Your XEN ICT Team > > ______________________________________________ > R-help at 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. > >-- View this message in context: http://www.nabble.com/generic-question--%3E-Genomics-with-R-tp16954827p16955748.html Sent from the R help mailing list archive at Nabble.com.
Thanks Jim - here is some data: u <- array(NA,c(5,8)) t <- seq(from=0.5, to=0.11,length=15) t2 <- seq(from=(-0.7),to=(-0.1),length=25) u[1:15] <- t u[16:40] <- t2 v <- array(NA,c(5,8)) y <- seq(from=(-0.9), to=(-0.01),length=40) v[1:40] <- y I've made up the data but it's similar magnitude and the longitude direction is u and latitude direction is v as in the real data. I really appreciate your help! Jenny On Tue, 29 Apr 2008, Jim Lemon wrote:> Jenny Barnes wrote: >> Hi Jim, >> >> I would like to plot something like figure 2 on this webpage: >> http://www.cnrfc.noaa.gov/storm_summaries/jan1997storms.php >> >> My data is very large - covering the whole globe at 2.5deg resolution so >> longitude=144 girds, latitude=73 grids and time=32 years - hard to give you >> that data......Would it help to give you a couple of grid squares worth of >> data for one year? >> > Okay, Figures 2 and 3 look like 5 degree squares, and given a larger plot, > 2.5 degree should be okay. Do you want curved arrows? That would take some > programming as the standard arrows are straight. Also, the arrows in the > figures all seem to be the same length. I can make the lengths proportional > to wind speed. Yes, some data would be helpful, as getting the right plot > usually involves trying out real data. Doesn't matter if it's faked as long > as it has the same format and similar numbers to the real thing. > > Jim > > >