similar to: Plotting number of patients at risk below survival curve

Dear R-helpers, this is just a notice to inform everyone that the current versions of XML and odfWeave don't seem to be playing nice with each other. Since it took me quite some time to figure that out, I thought that I let you know. In my case it helped to install an older version of XML but your mileage of course may vary. Best regards Thorsten -- Thorsten Raff 2nd Medical

Dear R-helpers I am wondering if there is an option to the survplot function in the design package that allows for drawing Kaplan-Meier plots starting from 0 instead of 1, similar like fun = 'event' in the standard plotting function used on a survfit object. I apologize in advance for having missed any obvious informational sources but I really didn't find anything in the

Hello I have the problem that I want to transform a dataframe as generated by diagnosis <- rep(diagnosis[1:3], 3) marker <- gl(3,3) values <- rnorm(9) dataframe <- cbind(diagnosis, marker, values) dataframe <- dataframe[c(1:5, 7:9), ] into a matrix where levels(diagnosis) is indicating the rows of the matrix, levels(marker) the columns and values are the actual content of the

Dear R-helpers, I am trying to plot a Bland-Altman-Plot using the BA.plot function from the package MethComp. While there is a function to transform the values for analysis as shown in the snippet below, I would like to have logarithmic axes for display as well. The usual log = 'xy' does not work because of the properties of the y-asxis (positive and negative values). I am sure that

Hello, I am looking for a package implementing unconditional tests for comparing two binomials (Barnard's test or derivatives). As I am looking for rare genotypes within my groups, my number of subjects in one of the cells of the 2x2 table is often 2-4 resulting in a too conservative result by Fisher's exact test due to the discrete sample space of the test statistic. As I want to use

Hello R-experts, I have a simple question: how do I aggregate data using the median function with na.rm = TRUE, i.e. aggregate(x, list(x$y, x$z), FUN = '????') I have tried 'median(x, na.rm = TRUE)' but that doesn't help. Any suggestions are very much appreciated, Thorsten

Dear All, I know this may be a trivial question. In the past I have used glm to make logistic regressions on data. The output creates an object with the results of the logistic regression. This object can then be used to make predictions. Great. I have a different problem. I need to make predictions from a logistic regression taken from a paper. Thus I need to (by hand) enter the reported odds

Dear users, I can access an database oracle database using sql developer. This was done by importing an xml file that contains the login details - username, password and specifies that it uses the KERBEROS_AUTHENTICATION. I'm trying to connect R - so that it can access this database - do sql queries and convert the resulting tables into dataframes. I am a novice in SQL and database access

I''m going to cross-post this to the wxRuby ML because I know of at least one wxRuby expert who does not subscribe to ruby-talk. Curt Stephan Kämper [mailto:Stephan.Kaemper@Schleswig-Holstein.de] > > Hi all, > > having just started to work with wxRuby, I would like to > - display a Wx::Notebook > - with several widgets in each row > - where the text field in the row

?Hi: I always use subset the same way but now is returning 0 rows. What's wrong with the way I am subsetting? library(ggplot2) structure(list(first = c(38.2086, 43.1768, 43.146, 41.8044, 42.4232, 46.3646, 38.0813, 40.0745, 40.4889, 38.6246, 40.2826, 41.6056, 34.5353, 40.0768), second = c(43.3295, 42.4326, 38.8994, 37.0894, 42.3218, 46.1726, 39.1206, 41.2072, 42.4874, 40.2657, 38.7766,

HI, You can do this in many ways: dat1<-read.table(text=" med1,med2,med3???? ?1,0,1?????? 0,1,1??? 2,0,0 ",sep=",",header=TRUE)?? #1st method library(reshape) dat2<-melt(dat1) dat3<-aggregate(dat2$value,by=list(dat2$variable),sum) ?colnames(dat3)<-c("name","sum(n11)") ?dat3 #? name sum(n11) #1 med1??????? 3 #2 med2??????? 1 #3 med3??????? 2

Hello, Having a problem with software RAID that is driving me crazy. Here's the details: 1. CentOS 6.2 x86_64 install from the minimal iso (via pxeboot). 2. Reasonably good PC hardware (i.e. not budget, but not server grade either) with a pair of 1TB Western Digital SATA3 Drives. 3. Drives are plugged into the SATA3 ports on the mainboard (both drives and cables say they can do 6Gb/s). 4.

Hi! As the subject line says, Macmillan dictionary gives me an error msg: Code: wine: Unhandled page fault on read access to 0x003ad6a1 at address 0x36a2e5 (thread 0009), starting debugger... Unhandled exception: page fault on read access to 0x003ad6a1 in 32-bit code (0x0036a2e5). Register dump: CS:0073 SS:007b DS:007b ES:007b FS:0033 GS:003b EIP:0036a2e5 ESP:0032feb4 EBP:0032febc

please send me the "patients.txt" data. thanks.

Happy Friday Everyone, ? Hope Friday afternoon doesn't turn out to be a terrible time to post a question. I've been doing a little data mining of patient text medical records as of late. I started out trying to predict whether or not cancer patients had received KRAS mutation testing and did quite well with that. Now I'm trying to predict the results of KRAS testing (mutated?vs. wild

Hello I'm trying to get Macmillan Dictionary 2nd ed to work http://appdb.winehq.org/objectManager.php?sClass=version&iId=15607 Under self compiled Wine 1.3.10 on Debian Lenny (I do not know of (packaged wine) deb publicly available) It is told to be a Gold app so maybe it'll work somehow. Installs ok - I followed the instruction NOT to install QuickFind and - I Installed the

May I ask a clinical question? For a trial, we have a treatment group of small size, say 30 patients. We want to selectmatching control patients from a bigger group (100 patients) in terms of several clinical variables, such as age, tumor stage etc. This practice is to select the closest matching set of control cases. I wonder if R has any routine or package that can help with this problem.

Dear R-users! I am using R 1.7.0, under Windows XP. Having some hospital discharge data (admission date and discharge date for each patient), I want to get the number of patients in the hospital on a given date. My data look like (simple example): > x <- data.frame(patid=c("pat1", "pat2"), adm.date = c("15.03.2002", "16.03.2002"),

On Thu, Jan 31, 2013 at 10:29 AM, Weijia Wang <wwang.nyu@gmail.com> wrote: > Hi, > > > > I have a new question about subsetting in R. > > > > Say we have this data frame: > > > > PT_ID Blood_Pressure OBS_TYPE > > 92 1900 90.0 DBP > > 94 1900 90.0 DBP > > 174 2900 140.0 SBP > > 176 2900

Hi all, I am just beginning to use R and encountered a problem in trying to draw a regression line using the command "abline(coef(var)" and similar ones but got the error "plot.new has not been called yet". Does anybody know how can I call plot.new? Is this an additional package to be found somewhere on the web? Is it a functionality that I just have to "activate"