similar to: BA.plot with logarithmic axes (MethComp)

I have a samll package that works well and complies nicly on WinXP, using R-2.4.1 Now I want to add a document so i make a folder inst\doc and put the .tex and .pdf in there. But the complation then crashes. Is this because the installin expects some file to be present in inst if an inst folder is there? This is how the thing progress is on my command promp:

Hi, I tried to use MethComp library and this library make use of the WinBUGS by R2WinBuGUS, but I get the follow error in bugs.run: *Error in bugs.run(n.burnin, bugs.directory, WINE = WINE, useWINE = useWINE, : * Look at the log file and try again with 'debug=TRUE' to figure out what went wrong within Bugs. Anyone can help-me, please? Thanks Cleber library( MethComp ) library(

Hi, I am new to R and I'm looking to perform some method comparison analysis and would be grateful for some help regarding package installation. There is a package 'MethComp' that I want to use (http://staff.pubhealth.ku.dk/~bxc/MethComp/Courses/Sthm.2007/.) Unfortunately I am unable to install it. I have tried numerous approaches but to no avail. this is the first time I have tried to

Hello Everyone, I am trying to automate the backups at my office, and am running into trouble with the windows machines. I have used the smbmount command to mount the windows systems onto our RedHat Linux 6.0 box. I can verify that they are indeed mounted successfully. I have a copy of BRU, which is an excellent piece of backup software. Ideally, I would like to use BRU to back up

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

Hi, Try this: dat1<- read.csv("dat7.csv",header=TRUE,stringsAsFactors=FALSE,sep="\t") dat.bru<- dat1[!is.na(dat1$evnmt_brutal),] fun1<- function(dat){??? ? ??? lst1<- split(dat,dat$patient_id) ??? lst2<- lapply(lst1,function(x) x[cumsum(x$evnmt_brutal==0)>0,]) ??? lst3<- lapply(lst2,function(x) x[!(all(x$evnmt_brutal==1)|all(x$evnmt_brutal==0)),]) ???

HI, You can do this: dat1<- read.csv("dat7.csv",header=TRUE,stringsAsFactors=FALSE,sep="\t") dat.bru<- dat1[!is.na(dat1$evnmt_brutal),] fun2<- function(dat){? ????? lst1<- split(dat,dat$patient_id) ??? lst2<- lapply(lst1,function(x) x[cumsum(x$evnmt_brutal==0)>0,]) ??? lst3<- lapply(lst2,function(x) x[!(all(x$evnmt_brutal==1)|all(x$evnmt_brutal==0)),])

Hi, May be this helps: dat1<- read.csv("dat7.csv",header=TRUE,stringsAsFactors=FALSE,sep="\t") dat.bru<- dat1[!is.na(dat1$evnmt_brutal),] fun2<- function(dat){?? ????? lst1<- split(dat,dat$patient_id) ??? lst2<- lapply(lst1,function(x) x[cumsum(x$evnmt_brutal==0)>0,]) ??? lst3<- lapply(lst2,function(x) x[!(all(x$evnmt_brutal==1)|all(x$evnmt_brutal==0)),])

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, 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

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ______________________________________________________________________________ Caldera Systems, Inc. Security Advisory Subject: local ROOT exploit in BRU Advisory number: CSSA-2000-018.0 Issue date: 2000 June, 14 Cross reference: ______________________________________________________________________________ 1. Problem Description

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 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

I've got seven Linux boxes, and three NT boxes, all that have to be mounted via smbmount for a backup that we run through one of the Linux machines ("SPEEDY") via BRU. While Speedy has no problem keeping the mounts for all the Linux machines, the mounts for NT machines will timeout after a short period. I run a "df" and get an Input/Output error on all the NT machines. I

Does anyone know how could I get the significant codes from mixed model output fitted with a GEE package? The output I got is the following: GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA gee S-function, version 4.13 modified 98/01/27 (1998) Model: Link: Logit Variance to Mean Relation: Binomial Correlation Structure: Exchangeable Call: gee(formula = bru

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

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 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

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=""),