similar to: Newbie question about data preparation

Hello R-folks, I don't get the color of the legend in a lattice-plot right. I select a palette from RColorBrewer and use (with a col = mypalette argument) it in the barchart plot. The resulting graph shows the new palette in the graph, but uses the standard palette in the legend rectangles. Adding a col argument into auto.key uses the new palette with the legend text, but not in the

Hello R-folks, I don't get the color of the legend in a lattice-plot right. I select a palette from RColorBrewer and use it in the barchart plot. The resulting graph shows the new palette in the graph, but in the legend rectangles the standard palette is used. Adding a col argument into auto.key uses the new palette with the legend text, but not in the rectangle fill. What am I missing?

Der R-Gurus, first apologies if this is a FAQ, but I due to lack of R-knowledge and terminology I wasn't able to find it. I have the following problem in aggregating results of a model calculation: The results are yearly values of several parameters with several hierarchical spatial factors taken from a database as a data frame with the following structure value | year | spatial1 | spatial2

Hi All, I need to evaluate a series expansion using Legendre polynomials. Using the 'orthopolinom' package I can get a list of the first n Legendre polynomials as character strings. > library(orthopolynom) > l<-legendre.polynomials(4) > l [[1]] 1 [[2]] x [[3]] -0.5 + 1.5*x^2 [[4]] -1.5*x + 2.5*x^3 [[5]] 0.375 - 3.75*x^2 + 4.375*x^4 But I can't figure out how to

Hello, which.max() only returns one index value, the one for the maximum value. If I want the two index values for the two largest values, is this a decent solution, or is there a nicer/better R'ish way? max2 <-function(v) { m=which.max(v) v[m] = -v[m] m2=which.max(v) result=c(m, m2) result } Seems to work ok. Thanks, Esmail

Dear list-members, I am trying to use R to conduct a meta-analysis, i.e. I'd like to use a multi-level model to integrate the findings of a number of primary research studies. I set up a simple two level-model (only summary statistics are provided by each study) as follows: sapp.lme <- lme(D ~ 1, data = sapp.frame, random = ~ 1 | STUDYNR, weights=varFixed(~-1+STDERR_D),na.action =

Hello, There has to be a more R'ish way to do this. I have two matrices, one has the values I want, but I want to NA some of them. The other matrix has binary values that tell me if I want to NA the values in the other matrix. I produce a third matrix based on this. I've also tried apply() passing in c(1,2) for rows and columns with no success yet. Example (this works, but I'm

I have some data coming from SQL sources that I wish to relate in various ways. For reasons only known to our IT people, this can't be done in SQL at present. I am looking for an R'ish technique for looking up new columns on a data frame. As a simple, hardwired example I have tried the following: # This gives me two columns, one the lookup value and the second one # the result column,

I defined an S4 class with a slot i. Then I wrote a regular function that attempted to increment i. This didn't work, apparently because of the general rule that a function can't change the values of its arguments outside the function. I gather there are ways around it, but the Green book admonishes "cheating on the S evaluation model is to be avoided" (p. 190). Thinking that

I am new to OpenSSH (I used SSH before). One thing that I miss from SSH is the "auto-complete". In the sftp from SSH you could complete path using <TAB> just like in Bash, but OpenSSH sftp does not do that. Is there any plan to add that feature ? If not, could it be add ? ;-) Thanks... -- Federico Petronio petronio at agro.uba.ar Linux User #129974 --- Unix

Hello, First time posting to this mail list. I'd like to use R in the most efficient way. I'm accomplishing what I want, but feel there is a more R'ish way to do it. Just learning R. *My goal: get ranks of value across rows with row names and column names intact.* I'm guessing one of the [?]apply functions will do what I need, but I couldn't sort out which one (after a lot

Dear all, I've got a quite large dataframe (stor) with rows subject and rt (reaction time). I would like to split the reaction times per subject into 6 bins of equal size. Right now, I'm using the following code: bindata <- function(rt) { bindata <- rep(-1,length(rt)) binwidth <- length(rt)/6 bindata[order(rt)[(0*binwidth)+1:(1*binwidth)]] <- 1

Hi, I have a big data frame: > mat <- matrix(rep(paste(letters, collapse=""), 5*300000), ncol=5) > dat <- as.data.frame(mat) and I need to do some computation on each row. Currently I'm doing this: > for (key in row.names(dat)) { row <- dat[key, ]; ... do some computation on row... } which could probably considered a very natural (and R'ish) way of

Hello list apologize in advance for my bad English, this is the first time I write to a list if I mistake Excuse me I want to implement mail server with MySQL database, Postfix and Postfixadmin, dovecot-core, dovecot-mysql dovecot-imapd dovecot-pop3d for multiple domains. I have problems installing the daemon dovecot-core, dovecot-mysql dovecot-imapd dovecot-pop3d Debian squeeze, I'm using

Hi, I've had this like since last saturday or something. I don't seem to be getting it to beta.centos.org tho, so i'll just make it public thru the channels i control. ftp://centos.upi.iki.fi/pub/centos/4.2beta/isos/sparc/ There is ISOs and .torrents Know yourself out and try it out please. If you have something less than Ultra Sparc, you're out of luck with this as it's

Hi, I've had this like since last saturday or something. I don't seem to be getting it to beta.centos.org tho, so i'll just make it public thru the channels i control. ftp://centos.upi.iki.fi/pub/centos/4.2beta/isos/sparc/ There is ISOs and .torrents Know yourself out and try it out please. If you have something less than Ultra Sparc, you're out of luck with this as it's

RGL Version 0.65 [r405 / 2005-08-14] DESCRIPTION The RGL package is a visualization device system for R, using OpenGL as the rendering backend. An rgl device at its core is a real-time 3D engine written in C++. It provides an interactive viewpoint navigation facility (mouse + wheel support) and an R programming interface. RELEASE INFO This is a Beta release. We target a stable release at the end

RGL Version 0.65 [r405 / 2005-08-14] DESCRIPTION The RGL package is a visualization device system for R, using OpenGL as the rendering backend. An rgl device at its core is a real-time 3D engine written in C++. It provides an interactive viewpoint navigation facility (mouse + wheel support) and an R programming interface. RELEASE INFO This is a Beta release. We target a stable release at the end

I have some calculations that require persistent state. For example, they retain most of the data across calls with different parameters. They retain parameters across calls with different subsets of the cases (this is for distributed computation). They retain early analysis of the problem to speed later computations. I've created an S4 object, and the stylized code looks like this calc

Hi, I want to know if is there is a way to configure nmbd to become a local master browser in more than one workgroup at the same time. Thanks adji@df.uba.ar