similar to: loop

Kirsten, this may not be the most elegant approach, but I think I would create dummy variables on the fly for each disease code you have, then use the "with" function to get means. Give this a try: # setup some fake data as an example icd9 <- c(rep("dis1",4), rep("dis2",5), rep("dis3",3)) n <- length(icd9) exposure <- rnorm(n) working <-

This is my first time here at R Forum! I am a new user of R. I am very happy with this fabulous software! I know how to use greps, fors, seeds, %in%, paste, etc. But I need to know how to use a value of an aboject in a line command? Example: > i [1] "TP53" > TP53 V1 V2 V3 1 1 TP53 1.1 2 2 TP53 1.2 3 3 TP53 1.3 I would like to do a t.test of TP53 x

Dear all, an hopefully quick table question. I have the following data: Two objects that are 2*9 matrix with nine column names (Dis1, ..., Dis9) and the row names (2010,2020). The content are frequencies (numeric). In want to create a table that is along the lines of ftable(UCBAdmissions) and should looks like this: Dis1 | ...| Dis9 2010|2020|....|2010|2020 (first row,first column is the value

Hello all, I need to figure out a way to lag a variable in by a number of days without using the zoo package. I need to use a remote R connection that doesn't have the zoo package installed and is unwilling to do so. So that is, I want a function where I can specify the number of days to lag a variable against a Date formatted column. That is relatively easy to do. The problem arises when I

It seems that the text command isn't working for a postscript device. Here is my code: #----------------------------- # I have stored some data in a 21 by 21 matrix called mat x <- 1:ncol(mat); y <- 1:nrow(mat); labs <- c(" ", "1298", "1537", "TP53", "786", "974", "1303", "1288", "1294",

Dear R-help-list, The following is R function I wrote for computing multi-dimensional kernel density. I am seeking R experts who can make the code to run faster, 50 times faster ideally. Specifically, for function kernel.estimate = function(points, bw), the argument points is a d by n matrix as the n points in the d-dimensional space, bw is the bandwidth. The function will compute the kernel

Hello, I analyse some free-sorting data so I use hierarchical clustering. I want to compare my proximity matrix with the tree representation to evalute the fitting. (stress, cophenetic correlation (pearson's correlation)...) "The cophenetic similarity of two objects a and b is defined as the similarity level at wich objects a and b become members of the same cluster during the course of

Hello ! I have a problem of syncing browse lists between DMB and LMB. The topology of ours network is as follows: Linux Network comma(Linux, DMB, WINS) vol(Linux) door(Linux, LMB) | | | | | | | | | --------------(195.226.226.16/28)------ | | | | | | | --(local net

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++