search for: m02

...n to the following problem: Take e.g. the Orthodont data from the nlme package: > head(Orthodont) Grouped Data: distance ~ age | Subject distance age Subject Sex 1 26.0 8 M01 Male 2 25.0 10 M01 Male 3 29.0 12 M01 Male 4 31.0 14 M01 Male 5 21.5 8 M02 Male 6 22.5 10 M02 Male Suppose now, that I have a vector which contains the names of the "meta"-fields in this data-frame: metaFields <- c("Subject", "Sex") I now would like to form a new column "ID" which consists of the columns in metaFields...

...80 10 0 356 M01 MT1 MT 180 10 0 357 M01 MT1 MT 180 10 0 358 M01 MT1 MT 180 10 0 359 M01 MT1 MT 180 10 0 360 M01 MT1 MT 180 10 0 361 M01 MT1 MT 180 10 0 362 M01 MT1 MT 180 10 0 363 M01 MT1 MT 180 10 0 364 M01 MT1 MT 180 10 0 365 M01 MT1 MT 180 10 0 366 M01 MT1 MT 180 10 0 367 M01 MT1 MT 180 10 0 368 M02 MT1 MT 180 10 1 369 M02 MT1 MT 180 10 1 370 M02 MT1 MT 180 10 1 371 M02 MT1 MT 180 10 1 372 M02 MT1 MT 180 10 0 373 M02 MT1 MT 180 10 0 374 M02 MT1 MT 180 10 0 375 M02 MT1 MT 180 10 0 376 M02 MT1 MT 180 10 0 377 M02 MT1 MT 180 10 0 378 M02 MT1 MT 180 10 0 379 M02 MT1 MT 180 10 0 380 M02 MT1 MT 180...

...nd water, and for the category that appears in both m1 and m2 the end result will be a sum. results will be m3: cat1 cat2 cat3 cat4 cat5 cat6 land 45 78 47 48 35 36 water 21 34 23 24 15 16 To do this i thought in making an empty matrix for each m1 and m2 (called m01 and m02 respectively) with 6 columns and 2 rows, and do a long if else statement in which i match the name of the first column in m1 with the name of the first column in m01 and if they match get the data from m1, if not leave it 0 and so on. Same thing for m2 and m02. This is long and extremely clunky but...

...g lme to use model.frame: it is essentially in maintainence mod= e.) > > Another workaround is to use poly(..., raw=3DTRUE). I don't actually see > anything in this report using predict.lme, but compare > > > predict(fm, Newdata) > M01 M01 M01 M01 M02 M02 > 21.01353 25.63852 32.30504 38.59640 17.24007 21.86507 > attr(,"label") > [1] "Predicted values (mm)" > > fm <- lme(distance ~ poly(age, 3, raw=3DTRUE) + Sex, data =3D Orthodont= , > random =3D ~1) > > predict(fm, Newdata) >...

...pshot of active data. Every time we try to run the following command: timex rsync -avuz --delete isynh09:/snap We get the following error: receiving file list ... done mknod "/d/snap/m01/server_metadata/postgresql/.s.PGSQL.5432" failed: Invalid argument mknod "/d/snap/m02/server_metadata/postgresql/.s.PGSQL.5432" failed: Invalid argument mknod "/d/snap/m03/server_metadata/postgresql/.s.PGSQL.5432" failed: Invalid argument mknod "/d/snap/m04/server_metadata/postgresql/.s.PGSQL.5432" failed: Invalid argument mknod "/d/snap/m05/server_m...

Hi, I am trying to run a panel regression where I have a matrix of observations and a matrix of independant variables - examples would trying to predict countries's GDP with their data on education, FDI, tax rates, over time. For the purpose of simplicity, my data would be: dep = matrix(rnorm(50),ncol=5) indep1 = matrix(rnorm(50),ncol=5) indep2 = matrix(rnorm(50),ncol=5) >From what I

Hi, I'm new at this, I'm very confused, and I think I'm missing something important here. In our pet example we have this: > fm <- lme(Orthodont) > plot(Orthodont) > plot(augPred(fm, level = 0:1)) which gives us a trellis plot with the females above the males, starting with "F03", "F04", "F11", "F06", etc. I thought the point of

Hi All, I am new to post question on this list. I apologize if this question is too easy or irrelevant. I am doing a simulation study and I need to read a data file that can be easily read by SAS. So, what I try to do is to execute SAS in R and then read the output of SAS to R. I try the following code but it didn't work. system("c:\\program files\\sas institute\\v8\\sas.exe

Hi, R users, I'm using the "lme" function in R to estimate a 2 level mixed effects model, in which the size of the subject groups are different. It turned out that It takes forever for R to converge. I also tried the same thing in SPSS and SPSS can give the results out within 20 minutes. Anyone can give me some advice on the lme function in R, especially why R does not converge?

...??? HEEEELP !!! > > > ------------------------------ > > Date: Sun, 18 Oct 1998 14:40:48 -0700 > From: mike.phillips@exgate.tek.com > To: samba@samba.anu.edu.au > Subject: Question > Message-ID: > <D95DF3673FF8D01195A300805F19CCCF032ECAA8@eu-marl-m02.marl.tek.com> > > G'day all, > > I am new to the list, so please be careful with me :-)....Some > background I > am a developer not a network person, but I do like to play with > hardware. > > I have just installed samba 1 9 18p8 (I think this is the version &gt...

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Hi, I''ve got a newbie question--sorry if this is covered elsewhere, I parsed through the archives for awhile and didn''t see it. I''d like to listen for whenever a file is renamed (e.g. foo.txt -> foo.old) and then magically change it back. This sounds odd, but I''m working with a stubborn application and this will actually make things work nice. So, if I do: