similar to: help with binary outcome

Dear helpers, In an attempt to use a loop to generate graphs in a for loop in run into a problem. The plan is to fill each page with eight graphs (mfrow = c(4,2)) in to two columns. Only the buttom graphs ( meaning every fourth graph) have tick labels on the x axis to preserve space. I used an if .... Else statement to achieve that. The problem is that the first eight graphs are skipped

Hello, Im reading Data out of a Database. #v+ rs <- dbGetQuery(con,"SELECT * ... ) attach(rs) #v- There ist a colum I convert into "Time". #v+ > zeit<-strptime(datum,format="%Y-%m-%d %H:%M:%S"); > class(zeit) [1] "POSIXt" "POSIXlt" #v- 1. A plot(zeit,money) plots the Data. All i see on the x-achis are the Days. I would like to see the

Hi, sorry if this is explained somewhere but I didn't find anything. How can I use "Anova" from the car package to test a modell without between subject's factors? Suppose I have the following data mat.1 mat.2 mat.3 di ex 1 85 85 88 1 1 2 90 92 93 1 1 3 97 97 94 1 1 4 80 82 83 1 1 5 91 92 91 1 1 6 83 83

Dear helpers, In an attempt to use a loop to generate graphs in a for loop in run into a problem. The plan is to fill each page with eight graphs (mfrow = c(4,2)) in to two columns. Only the buttom graphs ( meaning every fourth graph) have tick labels on the x axis to preserve space. I used an if .... Else statement to achieve that. The problem is that the first eight graphs are skipped

I'd like to give the dbox format a try, but I could not find any information on how to enable it. There's information on how to set mail_location for the Maildir and mbox formats in the wiki and also in the commented configuration file, but how to set it for dbox is strangely missing. I took a guess with 'mail_location = dbox:~/dbox', but that didn't work, so it's probably

Hi, being relativly new to RoR, I''m having a problem which I found described in this forum and somewhere else - but with no solution. I know, that it may be bad to mix table and form tags, but the first solution of an in place editing within a table looked nice: Version using form_for: <tr> <%form_for :time_record, :url => { :action => "add_time_record" } do

https://bugzilla.samba.org/show_bug.cgi?id=1502 Summary: rsync error: error in rsync protocol data stream (code 12) at io.c(836) Product: rsync Version: 2.6.2 Platform: x86 OS/Version: Linux Status: NEW Severity: blocker Priority: P3 Component: core AssignedTo: wayned@samba.org

Greetings R users! I am working with the ENSEMBLE climate data (10 min resolution daily temperatures images for all of Europe 1950-2006). The data comes packaged in a single netCDF file. I would like to read the data in and export a subset (2002-2006) as geotiffs (one image per day). So far, I can successfully read in the data and view the images within an R display window. However, I have yet to

Just a minor point in the suggested solution: df$LAP <- with(df, ifelse(G=='male', (WC-65)*TG, (WC-58)*TG)) since WC and TG are not conditional, would this be a slight improvement? df$LAP <- with(df, TG*(WC - ifelse(G=='male', 65, 58))) -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Jorgen Harmse via R-help Sent: Friday,

Dear R'sians, Would really appreciate if you could suggest a more efficient way to order the columns of a dataset. The column names of the dataset contain indices separated by a period. Following are examples of my code and the dataset. oC <- function(tg=x2) { lth <- length(grep("T",names(tg))) thix <-

I might have factored the gender. I'm not sure it would in any way be quicker. But might be to some extent easier to develop variations of. And is sort of what factors should be doing... # make dummy data gender <- c("Male", "Female", "Male", "Female") WC <- c(70,60,75,65) TG <- c(0.9, 1.1, 1.2, 1.0) myDf <- data.frame( gender, WC, TG ) #

Hi, I am a very occasional user of R, and will be grateful for some help in constructing a regression across groups. Here is an example: library(MASS) attach(cats) Sex[120:144]<-factor(TG) #Renaming some males to transgender, to create 3 groups, male, female and transgender out<-lm(Bwt~Sex/Hwt) #Gives me 3 separate linear regressions for groups M, F and TG What I now want to do

Yes, that will halve the number of multiplications. If you?re looking for such optimisations then you can also consider ifelse(G=='male', 65L, 58L). That will definitely use less time & memory if WC is integer, but the trade-offs are more complicated if WC is floating point. Regards, Jorgen Harmse. From: avi.e.gross at gmail.com <avi.e.gross at gmail.com> Date: Friday,

df$LAP <- with(df, ifelse(G=='male', (WC-65)*TG, (WC-58)*TG)) That will do both calculations and merge the two vectors appropriately. It will use extra memory, but it should be much faster than a 'for' loop. Regards, Jorgen Harmse. ------------------------------ Message: 8 Date: Fri, 3 Nov 2023 11:10:49 +1030 From: "Md. Kamruzzaman" <mkzaman.m at gmail.com>

Well, something like: LAP <- ifelse(gender =='male', (WC-65)*TG, (WC-58)*TG) The exact code depends on whether your variables are in a data frame or list or whatever, which you failed to specify. If so, ?with may be useful. Cheers, Bert On Fri, Nov 3, 2023 at 3:43?AM Md. Kamruzzaman <mkzaman.m at gmail.com> wrote: > Hello Everyone, > I have three variables: Waist

Hi, Trying to learn Search::Xapian and be better at perl at the same time, I'm stuck, at the DB_CREATE_OR_OPEN error. Perl says this: ~/dev/sandbox/Xapian-perl$ ./Index1-Xap.pl 100-objects-v1.csv db "db" is not exported by the Search::Xapian module Can't continue after import errors at ./Index1-Xap.pl line 7. BEGIN failed--compilation aborted at ./Index1-Xap.pl line 7. What I

Package: gcc-4.7 Version: 4.7.0-12 Severity: serious Justification: breaks unrelated software The following scenario is broken: I would expect the link to fail. This is a carefully nailed-down testcase to figure out that the fault is with gcc not binutils. tg at zigo:~ $ echo 'int login_tty(int); void _exit(int); void _start() { _exit(login_tty(0)); }' >test.c tg at zigo:~ $ rm -f

There are many techniques Callum and yours is an interesting twist I had not considered. Yes, you can specify what integer a factor uses to represent things but not what I meant. Of course your trick does not work for some other forms of data like real numbers in double format. There is a cost to converting a column to a factor that is recouped best if it speeds things up multiple times. The

Hi, I have a question about the usage of eval(). Wonder if any experienced user can help me out of it. I use eval() in the following function: semireg.pwl <- function(coef.s=rnorm(1),coef.a=rnorm(1),knots.pos=knots.x,knots.ini.val=knots.val){ knotn <- length(knots.pos) def.par.env <- sys.frame(1) print(def.par.env) print(environment(coef.s)) tg <- eval( (parse(text=

tags 516774 = patch tags 516294 = upstream thanks Hi! Please find attached a diff closing #516774 by adding mkstemp(3), again with a minimalistic pseudo-arc4random(3) behind it. I?ve revisited the code. An mkstemp testsuite from the ?net shows it works, except for not caring how many ?X?en are in the template. Addressing #516294, it allows compiling and linking an mksh from today?s CVS against