similar to: Plotting the explanatory against the dependent in a GAM

I appreciate that this is OT, but I'd be grateful for pointers to examples of where Sweave has been used for web-based applications. In particular, examples of where reports/analyses are produced automatically through submission of data to a web-sever. I am mostly interested in situations where pdf reports have been produced rather than, say, a plot/table etc shown on a web page.

Dear R users, I'm a bit perplexed with the effect sort has here, as it is different on Windows vs. linux. It makes my factor levels and subsequent plots different on the two systems. Given: types <- c("PC-D-Euro-0", "PC-D-Euro-1", "PC-D-Euro-2", "PC-D-Euro-3", "PC-D-Euro-4", "PC-D-Euro-5", "PC-D-Euro-6",

I can't quite seem to solve a problem subsetting a data frame. Here's a reproducible example. Given a data frame: dat <- data.frame(fac = rep(c("a", "b"), each = 100), value = c(rnorm(130), rep(NA, 70)), other = rnorm(200)) What I want is a new data frame (with the same columns as dat) excluding the top 5% of "value"

Dear R-users I seem to be stumped on something simple. I want to split a data frame by factor levels given in one or more columns e.g. given dat <- data.frame(x = runif(100), fac1 = rep(c("a", "b", "c", "d"), each = 25), fac2 = rep(c("A", "B"), 50)) I know I can split it by fac1, fac2 by:

Hi all, Given a data frame: my.df <- data.frame(a = c(1:5, 1:10, 1:20), b = runif(35)) I want to split it by "a" such that I end up with a list containing 3 components i.e. the first containing a = 1 to 5, the second a = 1 to 10 etc. In other words, sets of sequences of a. I can't seem to find the right form using the split function - can you help? Much appreciated. David

I seem to have a Friday afternoon block and can't see the easiest way of doing this. Given a data frame like: dat <- data.frame(x = runif(100), y = runif(100), group = rep(letters[1:10], each = 10)) > head(dat) x y group 1 0.876751503 0.6518345 a 2 0.627067150 0.8801790 a 3 0.632465192 0.1768305 a 4 0.060359554 0.8835652 a 5 0.675868776 0.7721177

Hi all, I need some help with samba, I have RH6.0 and samba 2.0.5 now I would like to set the system so that any user from the windows network can log on to the Linux box without creating a new user everytime. Is this possible? Kevin Saenz Dell Computer Australia Pty Ltd Office: +61 2 89725560 E-Mail: kevin_saenz@dell.com

I really like the idea of Mock Proxies as explained in Brian Takita''s post here: http://pivots.pivotallabs.com/users/brian/blog/articles/352-introducing-rr I posted to this list eariler with an incomplete implementation of .stops_mocking in the thread "Mocking Time, delegating to original object." The Mock Proxy pattern would make this simpler.

> Brendan Gregg - Sun Microsystems wrote: > > So, apart from Solaris routers, DNS servers and IPsec > gateways, what > > other servers would be under heavy load and be using > something other than TCP? > > Finance houses, running Tibco Rendevous. Further to this, as someone who works in this area, I can say that many stock exchange data feeds are provided over UDP -

Hi Ryan, > Does anyone happen to know why the ustack() doesn''t show lex, > yak, main > and _start? A quick look with the source browser seems to indicate that _rt_boot is code executed very early in the lifetime of your process by ld.so.1. What seems to be happening is that ld.so.1 has allocated some memory before DTrace got control of your process - long before main() was

Hi Max/DTrace list, > At any rate, without the -C, I can''t use #include <sys/stream.h>. > Without the #include <sys/stream.h>, I can''t use the M_DATA. > As it is, I get the following: > > # ./strrput.d 0xd595a6c0 <-- this is a vnode for a socket > ftp is using (not important here) > dtrace: failed to compile script ./strrput.d: line 7: >

Howdy, I was playing around with the malloc/free D script provided by Philip Beevers: http://www.opensolaris.org/jive/thread.jspa?threadID=4224&tstart=15 And decided to change the free:entry probe from: pid24169::free:entry / sz[arg0] / { printf("Freeing %p (size %d)\n", arg0, sz[arg0]); sz[arg0] = 0; } to: pid24169::free:entry / ! sz[arg0] / { printf("[ *

It seems to be working for us now. I have the following relevant settings in the [global] section of smb.conf ... remote announce = 199.170.245.255/ENGINEER 199.170.224.255/ENGINEER 199.170.232.255/ENGINEER workgroup = ENGINEER wins support = no wins server = 199.170.224.6 domain master = yes local master = yes preferred master = yes ; os level = 0 don't want Samba to

Hi Bryan, > Does that sit well with everyone? Seems fine to me. Just revisiting one of Dragan''s points, though (sorry if I missed the answer) - is there a reason for making this global (via a #pragma) rather than, say, simply providing two functions which print in the different orders? e.g. printa() for sort by sample, printak() for sort by key. My reason for wanting to do both in

Hi Livia and everyone, Did you ever get a response on this question from last year (Jan 2008)? I am also looking for more explanatory documentation on the ui and ci parameters for the function constrOptim(). The examples provided in the R help and the full reference manual are not working for me. Goodle and Nabble searches have not resulted in any explanation

It is actually model.matrix that crashes, not glm. Same crash occurs with e.g. lm. model.matrix(dob_mon ~ dob_day*dob_mon, data = tab) also crashes R. Jan On 06-10-17 12:08, Jan van der Laan wrote: > > The following code crashes R (I know I shouldn't try to estimate such > a model; this was a bug in some code of mine). I also tried with > R-devel; same result. > >

(Oops first mistake was posting to the wrong area) I am not sure what is needed to be posted in terms of what I have done but will explain nonetheless. I am using the msm.package and trying to specify my reference category for an outcome covariate. The following command line works: ## age of respondent - using year5a: categorical preg_fyear5a.msm<-msm(outcome~ipi, subject=id, data,

Hello! I want to do a non-linear regression with 2 explanatory variables (something like : length ~ a * time * exp( b* temperature)), having a data set (length, time, temperature). Which function could I use (I tried nls but I think it doesn't work) Thanks a lot! Janice

One of the assumptions, on which the (General) Linear Modelling is based is that the response variable is measured with some uncertainties (or weighted), but the explanatory variables are fixed. Is it possible to extend the model by assigning the weights to the explanatory variables as well? Is there a package for doing such a model fit? Thanks

Hi, I just wanted to check I'm not re-inventing the wheel here. I'm developing a new algorithm for backfitting (i.e. additive models) and for computing partial residuals, where partial residuals are still computed even where there are missing values. Noting additive models here contain both linear terms and smooth terms. If I am re-inventing the wheel could some one please let me know.