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https://bugzilla.samba.org/show_bug.cgi?id=5811 Summary: rsync error: error allocating core memory buffers (code 22) at io.c(635) Product: rsync Version: 3.0.4 Platform: x64 OS/Version: Linux Status: NEW Severity: blocker Priority: P3 Component: core AssignedTo: wayned@samba.org

Dear all , I would like to use the function randomForest to predict the probability of relocation failure of a GPS collar as a function of several environmental variables x (both factor and numeric: slope, vegetation, etc.) on a given area. The response variable y is thus success (0)/failure(1) of the relocation, and the sampling unit is the pixel of a raster map. My aim is to build a map

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

Dear all, I would like to generate 25 numbers from 1 to 100 but I would like to have some numbers that could be more probable to come out. I was thinking of the function runif: runif(25, 1, 100) , but I don?t know how to give more weight to some numbers. Example: each number from 2 to 10 has the probability of 40% to come out but the probability of each number from 11 to 100 to come out is

Le 17/12/2023 ? 18:26, Barry Rowlingson a ?crit?: > I think what's been missed is that zapsmall works relative to the absolute > largest value in the vector. Hence if there's only one > item in the vector, it is the largest, so its not zapped. The function's > raison d'etre isn't to replace absolutely small values, > but small values relative to the largest.

I'm using scan in a script to record a series of responses of the user as a function of some graphs that I put up on the screen. A toy version would be, y <- rep(NA, 3) for (ix in seq( length(y) ) ) { y[ix] <- scan( n = 1 ) } However, if I include any code after this loop, for example, y <- rep(NA, 3) for (ix in seq( length(y) ) ) { y[ix] <- scan( n = 1 ) } y I get an error

Must packages in the Depends field of the DESCRIPTION file have NAMESPACES? I haven't seen this explicitly indicated anywhere. I am writing a small package and find that when I add the abind package to the list of the Depends field, I get an error in R CMD check of the build. * checking package name space information ... OK * checking package dependencies ... ERROR Packages required but not

>>>>> Serguei Sokol via R-devel >>>>> on Mon, 18 Dec 2023 10:29:02 +0100 writes: > Le 17/12/2023 ? 18:26, Barry Rowlingson a ?crit?: >> I think what's been missed is that zapsmall works relative to the absolute >> largest value in the vector. Hence if there's only one >> item in the vector, it is the largest, so its

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

Le 18/12/2023 ? 11:24, Martin Maechler a ?crit?: >>>>>> Serguei Sokol via R-devel >>>>>> on Mon, 18 Dec 2023 10:29:02 +0100 writes: > > Le 17/12/2023 ? 18:26, Barry Rowlingson a ?crit?: > >> I think what's been missed is that zapsmall works relative to the absolute > >> largest value in the vector. Hence if

Hi, I'm trying to redefine the contrasts for a linear model. With a 2 level factor, x, with levels A and B, a two level factor outputs A and B - A from an lm fit, say lm(y ~ x). I would like to set the contrasts so that the coefficients output are -0.5 (A + B) and B - A, but I can't get the sign correct for the first coefficient (Intercept). Here is a toy example, set.seed(12161952) y

Hi every body; I want to intall some softwars working with my Asterisk server and I get these erreurs : * error: cannot seek `/dev/sda'. error: cannot seek `/dev/sda'. error: cannot seek `/dev/sda'. /usr/sbin/grub-probe: error: cannot seek `/dev/sda'. dpkg: error processing grub-pc (--configure): subprocess installed post-installation script returned error exit status 1 *

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

hi everyone, actually i want to release an IVR system using PHPAGI API , in this IVR i want to get value from the user. I already used get_data defined in phpagi but they are not able to get the value given by the user and store it in a php variable. i tested this : $result = $agi->get_data('beep', 3000, 20); $keys = $result['result']; but every time i found in $keys variable

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, >> >>>

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

Hi, I was taken off guard by the following behavior in a lattice plot. I frequently want to add a predicted curve defined at more points than in the formula expression of xyplot. There have been numerous examples of how to do this on r-help, but I still often struggle to make this work. I just realized that specifying one of the axes on a log scale does not guarantee that the added data for a

Hi, I'm fitting a standard nonlinear model to the luminances measured from the red, green and blue guns of a TV display, using nls. The call is: dd.nls <- nls(Lum ~ Blev + beta[Gun] * GL^gamm, data = dd, start = st) where st was initally estimated using optim() st $Blev [1] -0.06551802 $beta [1] 1.509686e-05 4.555250e-05 7.322720e-06 $gamm [1] 2.511870 This works fine but I

New packages psyphy and MLDS are available on CRAN: psyphy ncludes an assortment of functions useful in analyzing data from pyschophysical experiments. It includes functions for calculating d' from several different experimental designs, links for mafc to be used with the binomial family in glm (and possibly other contexts) and selfStart functions for estimating gamma values

...Pages 813-830. In P.R. Krishnaiah and P.K, Sen, eds, Handbook of Statistics, Vol.4. Elsevier Science Publisher. I know PC-Ord can do it, but I'd rather a R function which allows very long data list computations. Thanks ____________________________________________________ Martial FERREOL Cellules de Recherche en Environnement et BiotechnologieS Centre de Recherche Public - Gabriel Lippmann 162a Avenue de la Faïencerie L-1511 Luxembourg Tel : +352 470 261 441 Fax : +352 470 261 389 http://www.crpgl.lu ____________________________________________________ [[alternative HTML version de...