search for: raffe

Dear list, does anyone know of a R-package that has implemented the increasingly popular inclusion of the number of patients at risk below Kaplan-Meier curves like in http://bloodjournal.hematologylibrary.org/content/vol116/issue19/images/large/zh89991058760001.jpeg any hint (or negative answer) is much appreciated. Thanks Thorsten -- Thorsten Raff 2nd Medical Department, University

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

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

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

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

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

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

...p $poll_interval done But now I am starting to wonder if I am overdoing this. Surely there must already be a ready-made solution for this in NUT somewhere, but I have just searched with wrong words i Google. Have any of you done something similar with NUT, and what is the right way to do it? /raffe -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://alioth-lists.debian.net/pipermail/nut-upsuser/attachments/20221222/8ee9f074/attachment-0001.htm>

Dear R help, Suppose I have a dataframe with three columns named p, v and C. Here C is a function of both p and v. I can plot the surface C(p,v) using the package lattice using the function wireframe. Now if I have another dataframe - with 2 columns named p_ind and v_ind and pind is a function of v_ind. I would like to overlay the plot of the curve p_ind, v_ind and C(p_ind, v_ind) onto my

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 R-Users, I am learning how to use the package VGAM to do multinomial regressions. I have worked through the example provided by UCLA stats group: http://www.ats.ucla.edu/stat/r/dae/mlogit.htm However - what I would like to learn is how to use the constraint option. So in the example given in the link i would like to introduce a constraint that does not allow individuals of age less than

Dear Help, I am using the library RODBC to export data into an excel file with different sheets. Here is the code: library(RODBC) save2excel <- function(x, t.name,channel) { sqlSave(channel, x, tablename = t.name, rownames = FALSE) } ## Write Parameters to Excel channel <- odbcConnectExcel(paste(data.dir,"Calibrated_Parameters_Full_Set",".xls",sep=""),

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.