similar to: Re tain current graphs in figure

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

Dear R-help, I am trying to write a function to simulate datasets of size n which contain two time-to-event outcome variables with associated 'Event'/'Censored' indicator variables (flag1 and flag2 respectively). One of these indicator variables needs to be dependent on the other, so I am creating the first and trying to use this to create the second using an if/else statement.

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 =

Dear All, The code for static taint analysis (which should be similar to what you need) is now publicly available. You can find the code at https://github.com/thinkmoore/llvm-deps. -- John T.

Hi, I have an experiment with 2 independant factors which I have been trying to analyse in R. The problem is that there are several data points recorded on the same animal. However, no combination of treatments is repeated on the same animal. All possible combinations of treatments are done in a random order with as many points as possible being done on 1 animal before moving onto the next. The

Hi, I have some data on the effect of cycle shape (categorical) and frequency (continuous) on the efficiency of muscle contraction. My minimum adequate model is: m15<-glm(efficiency~cycle.shape*freq, family=quasipoisson) However, I wish to know where significant differences lie between specific combinations of treatments. I guess I want an equivalent of a post hoc test following an

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 All, I need to fit a mutlivariate normal model to a dataset in order to obtain the mean and covariance parameters. I see that the MVN function in the MCLUST package can do this, however when I try to run even the simplest example provided in the documentation, as below, I get the following error: n <- 1000 set.seed(0) x <- rnorm(n, mean = -1, sd = 2) mvn(modelName = "X", x)

I've recently been dealing with various CentOS images on AWS, and am being forcibly reminded that the "/root/anaconda-ks.cfg" has only a passing resemblance to whatever the kickstart configuration file actually contained. But getting a copy of the actual "ks.cfg" is invaluable for updating and testing variations of the kickstart setup, especially when manipulating disk

Is it possible to suspend this user from getting mail for a week otherwise we are going to get loads of "out of office" reports??????? Cheers -----Original Message----- From: brian.casey@mscsoftware.com [mailto:brian.casey@mscsoftware.com] Sent: 22 January 2003 13:34 To: samba@lists.samba.org Subject: [Samba] I am out of the office. I will be out of the office starting 01/21/2003

Hi all, Does anybody know whether one can nest IF statement in multiple FOR loops ? According to results of my code, only the first iteration of each loop is performed... Thanks, Regards, Natalie [[alternative HTML version deleted]]

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,

See bug 23374. Originally, this was an issue raised for one particular game. But my experiences with other games from the same company indicate that this may be a more widespread problem for their games. The original poster tried one of their "Strange Cases" games. I've tried a "Natalie Brooks" and an "Alabama Smith" adventure. Each keeps coming up with the

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, Does anyone know if: with R can you take a set of numbers and aggregate them like you can in SPSS? For example, could you calculate the percentage of people who smoke based on a dataset like the following: smoke = 1 non-smoke = 2 variable 1 1 1 2 2 1 1 1 2 2 2 2 2 2 When aggregated, SPSS can tell you what percentage of persons are smokers based on the frequency of 1's and 2's. Can

Hi Ben, David and Daniel , First of all happy new year. Based on advice of Greg K-H herewith a mail about a number of Nouveau issues with my laptop. I installed various Kali linux versions up to Linux 4.20.0-rc7 (downloaded, compiled and installed) on a Samsung NP900X5N laptop and have an issue with the driver after loading. My configuration: - i7 7500 - 16 gb / 256 gb ssd - nvidia 940MX

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 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 all, I'm trying to use a gam (mgcv package) to analyse some data with a roughly U shaped curve. My model is very simple with just one explanatory variable: m1<-gam(CoT~s(incline)) However I just keep getting the error message "Error in smooth.construct.tp.smooth.spec(object, dk$data, dk$knots) : A term has fewer unique covariate combinations than specified maximum degrees of

Hi, I got this working. i had to get rid of an underscore in one of my variable names to work on RWeb. Thanks for your help though!! Natalie __________________ I think you have to be either honest or careful, since the code you submitted to Rweb is different with your former code! Why the condition was changed from "test<-subset(X, GRADE == 7 & Y_Q10A < 9)" to