similar to: maximum allowed matrix size of R

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Hi, I have coding question on mixed model in R. I am using R2.11.0 in windows. I have an experiment with 2 fixed effect factors - A and B. The levels of B are within the levels of A factor. The model is very similar to a split plot design except the nesting relationship between the 2 fixed effect factors. For example: there are 2 levels for A - GM and ZM. There are 7 levels of B in total

Greetings: I am a relatively new user to R. I was wondering if anyone is familiar with MATLAB's far_g() function. If yes, is there an R equivalent to this? I would like to have the ability to input as my observation vector continuous values. I noticed that there was something close in R, sar_probit_mcmc(), but I can only use a binary vector as my observation vector. If my

Hi, I don't know about the lazyeval package or what you are trying to do but to answer the main question "How to create columns dynamically using a function?" I would do something like that: # dataset dem <- structure(list(id = c("L1", "L2", "L3", "M1", "M2", "M3"), TEST_SET_NAME = c("A", "A",

Hi, I am writing a function to dynamically create column names and fill those columns with some basic calculations. My function "demo_fn" takes argument "blup_datacut" and I like to use the contents of those arguments to dynamically create new columns in my dataset. Please note that I have another function called "calc_gg" within the function "demo_fn".

Your code contains the lines stopifnot(!(any(data1$norm_sd >= 1))) if (!(any(data1$norm_sd >= 1))) { df1 <- dat1 return(df1) } stop() "throws an error", causing the current function and all functions in the call stack to abort and return nothing. It does not mean to stop now and return a result. Does the function give

Eric: I will try and see if I can figure out the issue by debugging as you suggested. I don?t know why my code after stopifnot is not getting executed where I like the code to run the funlp2 function when the if statement is TRUE but when it is false, I like it to keep running until the stopifnot condition is met. When the stopifnot condition is met, I like to get the output from if statement

Eric: Thanks for taking time to look into my problem. Despite of making the change you suggested, I am still getting the same error. I am wondering if the logic I am using in the stopifnot and if functions is a problem. I like the recursive function to stop whenever the norm_sd column has zero values that are above or equal to 1. Below is the calclp function after the changes you suggested.

The message is coming from your stopifnot() condition being met. On Thu, Dec 14, 2017 at 5:31 PM, DIGHE, NILESH [AG/2362] < nilesh.dighe at monsanto.com> wrote: > Hi, I accidently left out few lines of code from the calclp function. > Updated function is pasted below. > > I am still getting the same error ?Error: !(any(data1$norm_sd >= 1)) is > not TRUE? > > >

Hi, I accidently left out few lines of code from the calclp function. Updated function is pasted below. I am still getting the same error ?Error: !(any(data1$norm_sd >= 1)) is not TRUE? I would appreciate any help. Nilesh dput(calclp) function (dataset) { dat1 <- funlp1(dataset) recursive_funlp <- function(dataset = dat1, func = funlp2) { dat2 <- dataset %>%

If you are trying to understand why the "stopifnot" condition is met you can replace it by something like: if ( any(dat2$norm_sd >= 1) ) browser() This will put you in a debugging session where you can examine your variables, e.g. > dat$norm_sd HTH, Eric On Thu, Dec 14, 2017 at 5:33 PM, Eric Berger <ericjberger at gmail.com> wrote: > The message is coming from

Dear R Group I have a matrix object in R, where i want to retain only those columns which have each row from a different group.. see the example below.. team1<-c("a1","a2","b1","b2","b3","c1","c2") teams<-combn(team1, 3) I want a function which will delete all columns in the teams matrix that have more than 1 row

Dear R-Users, Is there a way to create a matrix of data frames in R ? I am pulling in data frames from a SQL database into R using RODBC. I would like to pull in a sequence of data frames which are indexed across two dimensions, and store each data frame as an element in a matrix. I did try this: names<-c("foo","bar") years<-c("1y","2y")

On Thu, Apr 04, 2019 at 12:58:37PM +0200, Stefano Garzarella wrote: > Since now we are able to split packets, we can avoid limiting > their sizes to VIRTIO_VSOCK_DEFAULT_RX_BUF_SIZE. > Instead, we can use VIRTIO_VSOCK_MAX_PKT_BUF_SIZE as the max > packet size. > > Signed-off-by: Stefano Garzarella <sgarzare at redhat.com> > --- >

On Mon, Apr 08, 2019 at 04:55:31PM +0200, Stefano Garzarella wrote: > > Anyway, any change to this behavior requires compatibility so new guest > > drivers work with old vhost_vsock.ko. Therefore we should probably just > > leave the limit for now. > > I understood your point of view and I completely agree with you. > But, until we don't have a way to expose

On Mon, Apr 08, 2019 at 05:17:35PM +0200, Stefano Garzarella wrote: > On Mon, Apr 08, 2019 at 10:57:44AM -0400, Michael S. Tsirkin wrote: > > On Mon, Apr 08, 2019 at 04:55:31PM +0200, Stefano Garzarella wrote: > > > > Anyway, any change to this behavior requires compatibility so new guest > > > > drivers work with old vhost_vsock.ko. Therefore we should probably

Since now we are able to split packets, we can avoid limiting their sizes to VIRTIO_VSOCK_DEFAULT_RX_BUF_SIZE. Instead, we can use VIRTIO_VSOCK_MAX_PKT_BUF_SIZE as the max packet size. Signed-off-by: Stefano Garzarella <sgarzare at redhat.com> --- net/vmw_vsock/virtio_transport_common.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git

On Wed, Jul 17, 2019 at 5:00 PM Michael S. Tsirkin <mst at redhat.com> wrote: > > On Wed, Jul 17, 2019 at 01:30:30PM +0200, Stefano Garzarella wrote: > > Since now we are able to split packets, we can avoid limiting > > their sizes to VIRTIO_VSOCK_DEFAULT_RX_BUF_SIZE. > > Instead, we can use VIRTIO_VSOCK_MAX_PKT_BUF_SIZE as the max > > packet size. > >

Dear R Users, The granger.test command in the MSBVAR package estimates all possible bivariate Granger causality tests for m variables. If one passes a data frame with 3 rows, it returns 6 granger tests in two rows, one for the F-statistic and another for the p-value. For example: > a<-rnorm(1:10) > b<-c(lag(a),rnorm(1)) > c<-c(lag(b),rnorm(1)) >

On Mon, Apr 08, 2019 at 10:57:44AM -0400, Michael S. Tsirkin wrote: > On Mon, Apr 08, 2019 at 04:55:31PM +0200, Stefano Garzarella wrote: > > > Anyway, any change to this behavior requires compatibility so new guest > > > drivers work with old vhost_vsock.ko. Therefore we should probably just > > > leave the limit for now. > > > > I understood your point