similar to: Cox's regression analysis with Left truncated data

Hi all, I realise that the convention is to provide a working example of my problem but the data are of a sensitive nature so I'm not able to do that in this case. I need to query a database for multiple search terms: db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1, 2, 1.3, 3), test2 = c(56L, 27L, 58L, 2L), test3 =

Hi, I'm hoping that someone will be able to help. I would like to compare how covariates associate with the risk of a binary outcome during two periods. Period 1 will be non-exposure to a treatment and period 2 will be exposure to a treatment. The same individuals will be examined in each group but I want to be able to compare the association of certain covariates between the two groups to

Hi Everyone, I would like to do sequential subtractions within a group so that I know the time between separate observations for a group of individuals. My data: data <- structure(list(group = c("IND1", "IND1", "IND2", "IND2", "IND2", "IND3", "IND4", "IND5", "IND6", "IND6"), date_obs =

Hi R users, I really need help with subsetting data frames: I have a large database of medical records and I want to be able to match patterns from a list of search terms . I've used this simplified data frame in a previous example: db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1, 2, 1.3, 3), test2 = c(56L, 27L, 58L,

Hi Everyone, I have the following problem: data <- structure(list(prochi = c("IND1", "IND1", "IND1", "IND2", "IND2", "IND2", "IND2", "IND3", "IND4", "IND5"), date_admission = structure(c(6468, 6470, 7063, 9981, 9983, 14186, 14372, 5129, 9767, 11168), class = "Date")), .Names =

Dear R users, I have two data frames that were read from text files as follows: x_data <- read.table("x.txt", header = TRUE, sep = "|", quote = "\"'", dec = ".",as.is = TRUE,na.strings = "NA",colClasses = NA, nrows = 3864284, skip = 0, check.names = TRUE,fill=TRUE, strip.white = TRUE,

Hi there, I think I'm struggling with a fairly simple problem but can't seem to solve it. I have multiple observations for one unique identifier. Ultimately I want to end up with one line per identifier with multiple observations in rows. I'm really stuck any help would be really appreciated. CAO0337134 05/09/95 CAO0337134 27/09/05 CAO0347741 10/10/04 CAO0347741 12/10/04

Hi everyone, I would like to subset a data.frame using partial values. For example I have the following data.frame: PROCHI Main_condition 1234 411 1235 4110 1236 4111 1237 I20 1238 I201 1239 I202 Now let's say that I use the Subset function. Ordinarily I would use it as follows Subset(x, Main_condition=="411"|Main_condition=="4110" etc to get

Grade: Grade 7 - 8 depending on experience and skills Salary range: Grade 7 (spine point 29; ?29,099) up to grade 8 (point 40; ?40,280) Duration of Post: Two years in the first instance Location: Medical Research Institute, College of Medicine, Dentistry & Nursing, Ninewells Hospital & Medical School Campus, University of Dundee, DD1 9SY. The

Hi, I have two dataframes that have some common columns. I would like to join them by the common columns prochi and prescribed_date as there are duplicate prochis but they will be made unique by date. I tried doing an inner join but that just duplicated the columns whereas I would like the information from the test_sql_tsf to fill the NAs in the test_sql_psd common columns. require(sqldf)

Dear R help, I have the following data frame: structure(list(prochi = c("ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1"), date_1st_event = structure(c(14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784 ), class = "Date"),

Where: University of Dundee, Scotland UK Salary range: Grade 7 (?30,434 - ?32,277) REF: MDN0953 Duration of Post: One year in the first instance College: Medicine, Dentistry and Nursing School: Medicine Division: Population Health Sciences Location: Medical Research Institute,

Hi Rolan, I should have corrected that, my bad! It is an NFS client mounting the NFS server, I.e. nfsClient:/some_dir_mounted_via_nfs Si On 21/07/2015 10:20, "devzero at web.de" <devzero at web.de> wrote: >>Over ssh/nfs >>rsync -nuvaz --delete /source/ root at nfsServer.domain.co.uk: > >i don`t see nfs here, i see rsync syncing a local dir via ssh to a

Hi all, is it possible to do stepwise discriminant analysis (linear amnd non-linear) in R? If yes- which package does it|? Thanks Janine -------------------------------------------- "El gesto y la palabra son el pensamiento del hombre" Isabel Allende Janine Illian lecturer in statistics SIMBIOS School of Computing University of Abertay Dundee Bell Street Dundee, DD1 1HG Scotland,

Dear all, I have a data set o which I'd like to fit lme model. There are three factors one of whoich is nested. This should be easy to do using lme in R, but the problem ist that the data is highly non-normal. I was thinking about bootstrapping the distribution but don't have much experience of doing this in R and most references I find don't seem to go beyond the

Dear list members I am new to the list and would be much appreciated if you could help me. I am very interested in applying Latent Class Model for analysing multiple raters agreement data. I have recently found a paper by Uebersax, J. (1993) which described a method in a form of Located Latent Class Analysis (llca). Uebersax has written a Fortran program which is available on the web, for the

Using R 2.0.1 on Windows XP, I am getting an error msg: Error in .Fortran("conic", nxy = nxy, npt = npt, CP = cp, EP1 = ep1, EP2 = ep2, : Fortran function name not in load table I am wondering if there is a way to see what function names are in the load table? Maybe the function name has been altered? The first thing I do in my analysis script is to load a DLL, conic.dll,

I am currently using the function daisy in package cluster to create a dissimilarity matrix because my multivariate dataset contain missing data and variables of various types including factors, symmetric and asymmetric binary and quantitative. This is a step prior to using pco within ecodist. There is a warning which comes twice ">NAs introduced by coercion" I've used

Hi there, I just playing around at the moment with the idea of putting in a DHCP server alongside my Samba stuff. On my test server I'm having problems seeing the client machines (test 4 or 5) in the DIAGNOSIS readme. The server can see the clients as the general name search works and returns the IP of the clients. I think it's something to do with the DNS and WINS not wanting to

Hi, I would like to use a Fortran subroutine in R. I have checked the R docs and Newsletter, but..., I am unable to load an object file into R. The steps I have taken are (on Debian Linux/recent Intel-type chip ): 1. g77 -c hello.f to create hello.o 2. mymachine> R to start R 3. > dyn.load("hello.o") at which point I am getting the error msg: Error in