similar to: Installing packages based on the license

Hi, I am trying to use dynamic memory allocation in the C code to be called by R through the .C interface. I have used R_alloc as explained in the Writing R Extensions and included the R.h header. The program compiles fine but fails when linking. Obviously it needs a library file where R_alloc is found. I have tried to link by adding R.dll to list of files at the end of the link command but

Hello, Could someone recommend a good book on regular expressions with focus on applications/use as it might relate to R. I remember there was a mention of such a reference book recently, but I could not locate that message on the archive. Thanks. -Christos Christos Hatzis, Ph.D. Nuvera Biosciences, Inc. 400 West Cummings Park Suite 5350 Woburn, MA 01801 Tel: 781-938-3830

This might be an trivial thing but I am stuck. Consider: xx <- list(a=1:5, b=letters[1:5]) Although object xx is accessible through its name, how can object xx$b be accessed similarly through its name? > get("xx") $a [1] 1 2 3 4 5 $b [1] "a" "b" "c" "d" "e" > get("xx$b") Error in get(x, envir, mode, inherits)

Dear altogether, I want to blank the lower (or upper) part of a correlation matrix as it is done by dist() example: ( d <- cor(matrix(runif(12),nrow=4)) ) If I do the following d[lower.tri(d)] <- "" of course everything is changed to character - that's not what should be. Additionally, it does not work to assign "0" or anything else. The same is true for

Hi everyone, Can anyone give me more details about the 'lp', 'risk', 'terms', and 'expected' options from the predict.coxph function? I actually found that risk is obtained from exp(lp). I can't find information on 'expected' type however. Is anybody can expand the information on this function? Thank you in advance, I will appreciate it.

Hi, I was wondering if there is a direct approach for lining up 2-column matrices according to the values of the first column. An example and a brute-force approach is given below: x <- cbind(1:10, runif(10)) y <- cbind(5:14, runif(10)) z <- cbind((-4):5, runif(10)) xx <- seq( min(c(x[,1],y[,1],z[,1])), max(c(x[,1],y[,1],z[,1])), 1) w <- cbind(xx, matrix(rep(0, 3*length(xx)),

Quite often I save misc functions and data objects as .RData files that I can use in other sessions. Although I could 'Load Workspace" these files, most of the times I prefer attaching them. It would be really convenient to have a menu item under the File menu on the Windows R Console to allow attaching workspaces, e.g. -------------------- Attach Workspace... Load Workspace... Save

Hello, I've been trying to plot a subscript in a text formula using plotmath but I haven't been able to do so. In my example below I would like the text label to show X[min] = 10.1 +/- 5.5 Here is the code: ll <- c(x=10.1, sde=5.5) plot(1:10) text(x=9, y=2, pos=2, expression(paste(X[min], "=", paste(ll, collapse="+/-")))) This works fine up to the inner paste

R-helpers! na.omit() can be used to remove rows with NA's but how can I remove columns ? and remember, which columns have been removed ? I guess I can do t(na.omit(t(o))) as shown below, but this probably creates a lot of overhead and I do not know which columns have been removed. Yours, R > o [,1] [,2] [,3] [1,] 1 NA 7 [2,] 2 NA 8 [3,] 3 NA 9 >

Hi, Although this is not directly an R-related question, it is relevant as I am trying to port some R code to C to speed things up in a computation. I am working through my first attempts to generate and link compiled C code in R. I could make the 'convolve' function to work and similar functions that take vectors as arguments. In my application I need to pass a couple of matrices to

Hi, It is most probably just my R-ignorance, but I have following problem with using predict(). I train the model using 164 cases and then I try to use it on the data set with 35 cases, but I am getting 164 predictions ? R-code below illustrates in more detail what I am doing. Truly yours, R train = read.csv("train.csv", header = TRUE, row.names = "mol",

I am developing a package that imports some functions from another package. The imported package (qcc) does not have a namespace and this is causing problems with loading of my package, which has a namespace. Is there a workaround to allow loading the namespace-less package? I searched the archives and found a suggestion that the package should be included in the Depends list, but this has not

Hi list, I want to use the p-value from the survdiff function (package survival) to reuse within a function in a Kaplan-Meier plot. The p-value is somehow not a component of the value list ?! Thanks in advance -- A. Goralczyk G?ttingen, Ger.

Hi all, This information must be out there, but I can't seem to find it. What I want to do is to store functions I've created (as .R files or in whatever form) and then load them when I need them (or on startup) so that I can access without cluttering my program with the function code. This seems like it should be easy, but.... Thanks! Jeff

Hi - I'm trying to append simple density histograms of a continuous variable to the leaves of an rpart tree. The splits in the tree are all levels of a factor and I'm hoping to make the histograms out of the subsets of the dataframe corresponding to the splits and for them to be attached to the appropriate leaf of the final tree. Any help would be much appreciated, thanks, Jon Zelner

Hello all I would like to visualize the hazard ratios of a cox proportional hazards model. I have seen some good examples in the New England Journal of Medicine: http://content.nejm.org/cgi/content/short/353/26/2747/F3 http://content.nejm.org/cgi/content/short/350/26/2654/F2 (I hope these are open access, but I am not sure) And something similar in the book 'R Graphics' by Paul

I think this is an easy question, but I would be grateful for any advice on how to implement this in R. I simply have a response variable (y) that I am trying to predict with one explanatory variable (x) but the shape of the scatter plot is distinctly bilinear. It would be best described by two straight lines. Is there a way of fitting a linear model to give me a bilinear fit and (more

Hello my problem is the following: I have a matrix A and a vector B which contains as many rows as A. I need to build a matrix C which contains B[i]-times the row A[i,] and this for each line of A. if for example A is [1] [2] [1] 8 9.4 [2] 4.2 1.1 and B is (3,1). Then C will be: [1] [2] [1] 8 9.4 [2] 8 9.4 [3] 8 9.4 [4] 4.2 1.1 I have some

Dear R-users, I am checking the proportional hazard assumption of a cox model for a given covariate, let say Z1, after adjusting for other relavent covariates in the model. To this end, I fitted cox model stratified on the discrete values of Z1 and try to get beslow estimator for the baseline cumulative hazard function (H(t)) in each stratum. As far as i know, if the proportionality assumption

I'm a relative R novice, and sometimes the simple things trip me up. Suppose I have a <- c("apple", "pear") and I want a logical vector of whether each of these strings contains "ear" (in this case, F T). What is the idiom? Quizzically, Mark Lindeman