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2018 Mar 31
1
Names of variables needed in newdata for predict.glm
all.vars works fine, EXCEPT, it give a bit too much. I only want the regression variables, but in the following example I also get "k" the variable holding the chosen knots. Any machinery to find only "real" regression variables? cheers, Bendix library( splines ) y <- rnorm(100) x <- rnorm(100) k <- -1:1 ml <- lm( y ~ bs(x,knots=k) ) mg <- glm( y ~
2018 Mar 07
3
Names of variables needed in newdata for predict.glm
I would like to extract the names, modes [numeric/factor] and levels of variables needed in a data frame supplied as newdata= argument to predict.glm() Here is a small example illustrating my troubles; what I want from (both of) the glm objects is the vector c("x","f","Y") and an indication that f is a factor: library( splines ) dd <- data.frame( D =
2012 Nov 16
2
Problem Backup Maildir to NTFS
Dear Sirs, I need to make a backup of email accounts (Maildir) a Linux server to a Windows server with NTFS, but get the following error: rsync: rename "/mnt/rsync/cur/137D94_29.ml110c.qnet.com.pe,S=32828:2,S.M92y5w" -> "cur/137D94_29.ml110c.qnet.com.pe,S=32828:2,S": Invalid argument (22) I have installed Rsync v3.0.9 The command is executed: rsync -rltDvu
2018 Mar 08
0
Names of variables needed in newdata for predict.glm
Hi, Some try: > names(mi$xlevels) [1] "f" > all.vars(mi$formula) [1] "D" "x" "f" "Y" > names(mx$xlevels) [1] "f" > all.vars(mx$formula) [1] "D" "x" "f" When offset is indicated out of the formula, it does not work... Marc Le 07/03/2018 ? 06:20, Bendix Carstensen a ?crit?: > I would like
2007 Mar 23
2
concatenate 2 data.frames
Dear all, I would like to know how can I concatenate 2 data.frames into a single one. Both data frames have the same number of columns and the same class type in each correspondent column. So what I want is to have a new data.frame where I have first the values from one data.frame and then the values from a second data.frame would came after in this new data.frame. Thanks in advance. Med
2012 Feb 02
4
The "less than" (<) operator doesnt seem to perform as expected
The example here puzzles me. It seems like the < operator doesn't work as expected. > l <- 0.6 > u <- seq(0.4, 0.7, 0.1) > u [1] 0.4 0.5 0.6 0.7 > mygrid <- expand.grid("l" = l, "u" = u) > mygrid l u 1 0.6 0.4 2 0.6 0.5 3 0.6 0.6 4 0.6 0.7 > mygridcollapsed <- mygrid[mygrid$l < mygrid$u, ] > mygridcollapsed l u 3 0.6 0.6 4
2012 Aug 08
2
sweave problem with special danish characters
Dear all, I use Sweave to create my reports. my pdf output contains only NA's whenever my text contains special Danish characters like ø, ø and å. I have upgraded R from 2.13 to 2.15 and the scripts worked fine under R 2.13. Sweave("Test.Rnw", encoding = "utf8") texi2dvi("Test.tex", pdf = TRUE) %"Test.Rnw" \documentclass{article} \usepackage
2012 Nov 02
4
vanilla rsync 3.0.9 hangs after transferring ~2000 files
...ve any ideas what the problem might be? Or how I can help debug it? Right now we have a customer we simply cannot do a backup for, which is pretty bad :-) Thanks in advance for any input. -- De bedste hilsner, Christian Iversen Systemadministrator, Meebox.net ------- Denne e-mail kan indeholde fortrolige oplysninger. Er du ikke den rette modtager, bedes du returnere og slette denne e-mail. -------
2007 Mar 30
1
Model comparison
Dear all, I would like to know if I can compare by a significance test 2 models with different kind of parameters. Perhaps I am wrong but I think that we can only compare 2 models if one is a sub model of the other. Med venlig hilsen / Regards João Fadista Ph.d. studerende / Ph.d. student AARHUS UNIVERSITET / UNIVERSITY OF AARHUS Det Jordbrugsvidenskabelige Fakultet / Faculty of
2012 Aug 10
1
ggplot2 geom_bar produces white slashes in legend keys
When I am using geom_bar I get these white slashes through the legend keys. I cannot figure out how to remove them. ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar() I have tried using opts(legend.key = theme_blank()) but with no luck. Any suggestions would be much appreciated. I am using R vers. 2.15.0 and ggplot 0.9.1, win xp Best wishes Jonas Hal
2018 Jul 19
1
Replication problems
Hey I am trying to setup a dovecot cluster with 2 servers using replication /dsync. In front of it I got a Fortinet ADC (Load balance) and I think that I messing up the dsync. I see mails duplicated in the sync progress. If I disable one of the servers in the ADC, it seems to work and the sync if working without a problem. But if I use both servers with a round robin on the ADC, I see mailed
2005 Jul 25
1
Rmath library problems
Hello, Has anybody successfully called the Rmath library from C using the MS Visual Studio compiler (I am using Visual Studio 6.0)? I have compiled the Rmath library using gcc, and the 'test.c' program (which makes a call to qnorm) works fine when compiled with gcc. However, I get a fatal memory error when I run it after compiling it with Visual C. Would this memory problem be related
2007 Sep 07
1
contourplot lines, text, and mtext
If I have a contourplot (in the lattice package) and I want to add straight lines to it, how do I do this? I see that there are llines() and lsegement() functions for lattice plots, but they don't seem to do anything in this case: library(lattice) library(KernSmooth) x=rnorm(10000) y=x+rnorm(x,0,.5) a=bkde2D(cbind(x,y),.7) z=as.vector(a$fhat) grid=expand.grid(x=a$x1,y=a$x2) grid$z=z
2007 Feb 23
2
Extracting a subset from a dataframe
Good day everyone, Can anyone suggest an effective method to solve the following problem: I have 2 dataframes D1 and D2 as follows: D1: dates ws wc pwc 2005-10-19:12:00 10.8 80 81 2005-10-20:12:00 12.3 5 15 2005-10-21:15:00 12.3 3 15 2005-10-22:15:00 11.3 13 95 2005-10-23:12:00 12.3 13 2 2005-10-24:15:00 10.3 2 95 2005-10-25:15:00 10.3 2 2 D2:
2007 Aug 23
1
nls() and numerical integration (e.g. integrate()) working together?
Dear List-Members, since 3 weeks I have been heavily working on reproducing the results of an economic paper. The method there uses the numerical solution of an integral within nonlinear least squares. Within the integrand there is also some parameter to estimate. Is that in the end possible to implement in R [Originally it was done in GAUSS]? I'm nearly into giving up. I constucted an