search for: insas

Le 22/01/2018 ? 17:40, Keith O'Hara a ?crit?: > This behavior is noted in the qr documentation, no? > > rank - the rank of x as computed by the decomposition(*): always full rank in the LAPACK case. For a me a "full rank matrix" is a matrix the rank of which is indeed min(nrow(A), ncol(A)) but here the meaning of "always is full rank" is somewhat confusing. Does it

Hi, I 've got a problem. I have a big dir to share (it contains big files hundred of MB each one) and I want that only twice are downloadable at a time. I want to limit the number of download in fact to 2. I've found the max connections options I tried but It seems to doesn't work as I can download more at least 3 files at time. I also put the lock dir option and that doesn't

Le 23/01/2018 ? 08:47, Martin Maechler a ?crit?: >>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>>> on Mon, 22 Jan 2018 17:57:47 +0100 writes: > > Le 22/01/2018 ? 17:40, Keith O'Hara a ?crit?: > >> This behavior is noted in the qr documentation, no? > >> > >> rank - the rank of x as

Le 05/07/2017 ? 13:09, Duncan Murdoch a ?crit : > On 05/07/2017 5:26 AM, January W. wrote: >> I tried the newest patch, but it does not seem to work for me (on >> Linux). Despite the check in Rconn_printf, the write.csv happily writes >> to /dev/full and does not report an error. When I added a printf("%d\n", >> res); to the Rconn_printf() definition, I see

Le 31/05/2017 ? 16:39, Joris Meys a ?crit : > Seriously, if a method gives a wrong result, it's wrong. I did not understand why you and others were using term "wrong" based on something that I was considering as just "different" implementation. More thorough reading revealed that I have overlooked this phrase in the line's doc: "left and right /thirds/ of the

Le 10/01/2023 ? 11:37, Serguei Sokol a ?crit?: > Le 10/01/2023 ? 10:44, RICHET Yann a ?crit?: >> Dear R-devel people, >> >> We are working to submit a package which is mainly a binding over a >> C++ lib (https://github.com/libKriging) using armadillo. >> It is _not_ a standard RcppArmadillo package, because we also had to >> provide a python binding... so

Here is an attached patch. Best, Serguei. Le 29/05/2017 ? 12:21, Serguei Sokol a ?crit : > The problem or actual R implementation relies on an assumption > that median(x[i] | x[i] <= quantile(x, 1/3)) == quantile(x, 1/6) > which reveals not to be true despite very trustful appearance. > > If we continue with the example of x=y=1:9 > then quantile(x, 1/6)=2.5 (here quantile()

Le 10/01/2023 ? 10:44, RICHET Yann a ?crit?: > Dear R-devel people, > > We are working to submit a package which is mainly a binding over a C++ lib (https://github.com/libKriging) using armadillo. > It is _not_ a standard RcppArmadillo package, because we also had to provide a python binding... so there is a huge layer of cmake & scripting to make it work with a standard armadillo

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Mon, 22 Jan 2018 17:57:47 +0100 writes: > Le 22/01/2018 ? 17:40, Keith O'Hara a ?crit?: >> This behavior is noted in the qr documentation, no? >> >> rank - the rank of x as computed by the decomposition(*): always full rank in the LAPACK case. > For a

Hi, I have noticed different rank values calculated by qr() depending on LAPACK parameter. When it is FALSE (default) a true rank is estimated and returned. Unfortunately, when LAPACK is set to TRUE, the min(nrow(A), ncol(A)) is returned which is only occasionally a true rank. Would not it be more consistent to replace the rank in the latter case by something based on the following pseudo code ?

Hi, I'm trying to do this thing : Put some acl from a windows Workstation on a samba-shared file. When i press "apply", everything disapear... System : FedoraCore2, samba-3.10-1.fc2. I place the samba-server in a Win2K3 domain (net ads join) and in the NIS domain (domainname and conf the nsswitch). The mapping works greatly until i try to put another right access on

Le 04/12/2018 ? 11:27, I?aki Ucar a ?crit?: > On Tue, 4 Dec 2018 at 11:12, <qweytr1 at mail.ustc.edu.cn> wrote: >> function ppois is a function calculate the CDF of Poisson distribution, it should generate a non-decreasing result, but what I got is: >> >>> any(diff(ppois(0:19,lambda=0.9))<0) >> [1] TRUE >> >> Actually, >> >>>

I'm sure this exists elsewhere, but, as a trade-off, could you achieve what you want with a separate helper function F(expr) that constructs the function you want to pass to [lsv]apply()? Something that would allow you to write: sapply(split(mtcars, mtcars$cyl), F(summary(lm(mpg ~ wt,.))$r.squared)) Such an F() function would apply elsewhere too. /Henrik On Thu, Apr 16, 2020 at 9:30 AM

A usually trustworthy R correspondent posted a pure R implementation on SO at some point in his lost youth: https://stackoverflow.com/questions/3224731/john-tukey-median-median-or-resistant-line-statistical-test-for-r-and-line This one does indeed generate the line of identity for the (1:9, 1:9) case, so I do suspect that we have a genuine scr*wup in line(). Notice, incidentally, that >

Le 05/07/2017 ? 14:46, Serguei Sokol a ?crit : > Le 05/07/2017 ? 13:09, Duncan Murdoch a ?crit : >> On 05/07/2017 5:26 AM, January W. wrote: >>> I tried the newest patch, but it does not seem to work for me (on >>> Linux). Despite the check in Rconn_printf, the write.csv happily writes >>> to /dev/full and does not report an error. When I added a

...iable names. All you need to provide is the folder where the SAS data file is and the data file name without the extension. The function requires the rcom package. This is meant to be first cut...but improvements and suggestions are more than welcome! Gyula import.sas.data <- function(inPath,inSAS,as.is=FALSE){ # Function to read in a SAS data file # Packages needed: rcom # inPath: path to SAS file # inSAS: SAS data file name (no extension) # as.is: as per read.csv (FALSE - force all character variables to be factors) # outputs a data.frame object # Created: December 1, 2007 # Modif...

Hi, I would like to make a suggestion for a small syntactic modification of FUN argument in the family of functions [lsv]apply(). The idea is to allow one-liner expressions without typing "function(item) {...}" to surround them. The argument to the anonymous function is simply referred as ".". Let take an example. With this new feature, the following call

Hi I started studying Bioinformatics at my engineering school (INSA de lyon!) in september. We started learning statistics and did two classes of R hands-on, but I want to learn to use R better. (As in for my every day calculations - I'm in front of a computer anyway so why should I have to take out my TI-30?) I'm having trouble finding some of the simpler stat functions though.

The problem or actual R implementation relies on an assumption that median(x[i] | x[i] <= quantile(x, 1/3)) == quantile(x, 1/6) which reveals not to be true despite very trustful appearance. If we continue with the example of x=y=1:9 then quantile(x, 1/6)=2.5 (here quantile() is taken in C-code sens, not R's one) while median(y[i] | x[i] <= quantile(x, 1/3))=2 On the other sample's

Seriously, if a method gives a wrong result, it's wrong. line() does NOT implement the algorithm of Tukey, even not after the patch. We're not discussing Excel here, are we? The method of Tukey is rather clear, and it is NOT using the default quantile definition from the quantile function. Actually, it doesn't even use quantiles to define the groups. It just says that the groups