search for: 9.56

The topic of Ra and jit has come up on this list recently (see http://www.milbo.users.sonic.net/ra/index.html) so I thought people might be interested in this little demo. For it I used my machine, a 3-year old laptop with 2Gb memory running Windows XP, and the good old convolution example, the same one as used on the web page, (though the code on the web page has a slight glitch in it). This

I have a dataset that contains numbers between -10 and 0. E.g. x = c(-9.23, -9.56, -1.40, ...) If I no do a > qplot(x, geom="histogram") I get the error: Error: position_stack requires non-overlapping x intervals Strangely, the following both work: > qplot(x * -1, geom="histogram") > qplot(x+100, geom="histogram") Has anyone else encountered this? Is this a

On 6 Apr 2017, at 9.56, Christian Balzer <chibi at gol.com> wrote: > >> For no particular reason besides wanting to start conservatively, we've got >> client_limit set to 50 on the hibernate procs (with 1100 total hibernated >> connections on the box I'm looking at). At only a little over a meg each, >> I'm fine with those extra processes. >>

Hi! I am doing a lapply and for comparaison and I get that for is faster than lapply. What I have done: n<-100000 set.seed(123) x<-rnorm(n) y<-x+rnorm(n) rand.data<-data.frame(x,y) k<-100 samples<-split(sample(1:n),rep(1:k,length=n)) res<-list() t<-Sys.time() for(i in 1:100){ modelo<-lm(y~x,rand.data[-samples[[i]]])

Hi All, I have been running WINE quite contently for the last year & think it is an amazing product! There is one thing though that is quite bugging and I would like to share to see if others also have this experience and we can maybe fix.. On my laptop (it has an Intel 945 GM video chipset) I'm having problems when using WINE. Not with WINE itself but more with system stability.

Hello, it seems that the main results of survival analysis with package survival are shown only as side effects of the print method. If I compute e.g. a Kaplan-Meier estimate by > km.survdur<-survfit(s.survdur) then I can simply print the results by > km.survdur Call: survfit(formula = s.survdur) n events median 0.95LCL 0.95UCL 100.0 58.0 46.8 41.0 79.3 Is

Dear R users, I have a dataset with two variables: $esan - a grouping factor with 8 levels and $reus. I'd like to do wilcox.test on this dataset as sugested Weiwei here: https://stat.ethz.ch/pipermail/r-help/2007-July/136627.html. I tried to adapt his recommendation but no succes. Can anyone help me? Regards, Iurie Malai, Senior Lecturer Department of Psychology Faculty of Psychology and

The lapply loop and the for loop have very similar speed characteristics. Differences seen are almost always due to how you use memory in the body of the loop. This fact is not new. You may be under the incorrect assumption that using lapply is somehow equivalent to "vectorization", which it is not. -- Sent from my phone. Please excuse my brevity. On August 7, 2017 7:29:58 AM PDT,

Dear Jesus, The difference is marginal when each code chunk does the same things. Your for loop does not yields the same output as the lapply. Here is the cleaned version of your code. n<-10000 set.seed(123) x<-rnorm(n) y<-x+rnorm(n) rand.data<-data.frame(x,y) k<-100 samples <- split(sample(n), rep(seq_len(k),length=n)) library(microbenchmark) microbenchmark( "for"

On Thu, Apr 6, 2017 at 3:10 AM, Timo Sirainen <tss at iki.fi> wrote: > On 6 Apr 2017, at 9.56, Christian Balzer <chibi at gol.com> wrote: > > > >> For no particular reason besides wanting to start conservatively, we've > got > >> client_limit set to 50 on the hibernate procs (with 1100 total > hibernated > >> connections on the box I'm

What''s the better thing to do in a before_save if you don''t want the save to continue? raise an exception, or do an errors.add or both? Thanks, Chris Nolan.ca http://kweschun.com/ - Do you have a Kweschun?

Oats[Oats$Variety %in% c("Victory", "Golden Rain"),] or subset(Oats, Variety %in% c("Victory", "Golden Rain")) Stefano -----Messaggio originale----- Da: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]Per conto di elyakhlifi mustapha Inviato: luned? 23 aprile 2007 9.56 A: R-help at stat.math.ethz.ch Oggetto: [R] extract from

Hi, I have to do a four point logistics for a dataset. All I have is the absorbance value for different proteins and need to get the four Point values. I have no idea where to start. Any suggestions would be much helpful. Thanks Ramya -- View this message in context: http://r.789695.n4.nabble.com/Four-paramete-logistics-tp3265251p3265251.html Sent from the R help mailing list archive at

Colleagues, I have written an R function (see fully annotated code below), with which I want to process a dataframe within levels of the variable StepType. My program works, it processes the data within levels of StepType, but the usual headers that separate the output by levels of StepType are at the end of the listing rather than being used as separators, i.e. I get Regression results StepType

Hi R Users, I created interaction plots in ggplot2 and was trying to add output of two way ANOVA models, especially only interaction ( example treatment*control F(XX, XX) = xxx, p = xxx) into figures, but i was not able to add. Would you mind to help on how I can add information into each figure? I have attached the example data and the code that I used for this. dat<-structure(list(Sites

I'm trying to write a function to find the means over factors of the responses in a mlm (something I would do easily in SAS with PROC SUMMARY). The not-working stub of a function to do what I want is below, and my problem is that I don't know how to call aggregate (or some other function) in the context of terms in a linear model extracted from a lm/mlm object. means.mlm <-

Self-explanatory, I hope (note the period on the end of the username); sieve/pigeonhole does not allow you to have senders which end with a period, which means that any UNIX users with such usernames who send mail have it rejected by sieve: # useradd testuser. # su - testuser. $ mail david at example.com -s 'testing' 123 . [testuser. at levi ~]$ logout # less /var/log/maillog Aug 22

We've been using hibernate for about half a year with no ill effects. There were various logged errors in earlier versions of dovecot, but even with those, we never heard a reported customer-side error (almost always when transitioning from hibernate back to regular imap; in the case of those errors, presumably the mail client just reconnected silently). For no particular reason besides

Greetings, We present “Machine Function Splitter”, a codegen optimization pass which splits functions into hot and cold parts. This pass leverages the basic block sections feature recently introduced in LLVM from the Propeller project. The pass targets functions with profile coverage, identifies cold blocks and moves them to a separate section. The linker groups all cold blocks across functions

>Exceptions >All eh pads are grouped together regardless of their coldness and are part of the original function. There are outstanding issues with splitting eh pads if they reside in separate sections in the binary. This remains as part of future work. Can you elaborate more on the outstanding issues with splitting eh pads? From my dip into the unwind map in gcc_except_table the