similar to: Help with possible bug (assigning NA value to data.frame)?

There's something peculiar that I do not understand here. However, did you realize that the thing you are assigning into parts of `a' is NULL? Check you're my.test.boot.ci.1: It's NULL. Be that as it may, I get: > a <- data.frame(matrix(1:4, nrow=2), X3=NA, X4=NA) > a X1 X2 X3 X4 1 1 3 NA NA 2 2 4 NA NA > a[a$X1 == 1,]$X3 <- NULL > a X1 X2 X3 X4 1 1

Fellow R Users: I'm not extremely familiar with lda or R programming, but a recent editorial review of a manuscript submission has prompted a crash cousre. I am on this forum hoping I could solicit some much needed advice for deriving a classification equation. I have used three basic measurements in lda to predict two groups: male and female. I have a working model, low Wilk's lambda,

[markdown format] I'm glad to introduce you the new package aVirtualTwins. This package is an adaptation of VirtualTwins method of subgroup identification from [Foster, J. C., Taylor, J. M.G. and Ruberg, S. J. (2011)](http://onlinelibrary.wiley.com/doi/10.1002/sim.4322/abstract). ### Explanation Virtual Twins has been created to find subgroup of patients in a random clinical trial with

[markdown format] I'm glad to introduce you the new package aVirtualTwins. This package is an adaptation of VirtualTwins method of subgroup identification from [Foster, J. C., Taylor, J. M.G. and Ruberg, S. J. (2011)](http://onlinelibrary.wiley.com/doi/10.1002/sim.4322/abstract). ### Explanation Virtual Twins has been created to find subgroup of patients in a random clinical trial with

Well, if you remove that assert locally, all compute tests in src/gallium/tests/trivial/compute.c pass on GK106, except the atomic ones. I'm working on the fermi case btw. On 11/25/2015 03:43 PM, Hans de Goede wrote: > Hi, > > On 20-11-15 17:07, Samuel Pitoiset wrote: >> >> >> On 11/20/2015 11:36 AM, Hans de Goede wrote: >>> Hi Samual, et al, >>

On 11/26/2015 01:21 PM, Hans de Goede wrote: > Hi, > > On 26-11-15 09:42, Samuel Pitoiset wrote: >> Well, if you remove that assert locally, all compute tests in >> src/gallium/tests/trivial/compute.c pass on GK106, except the atomic >> ones. > > Do you mean the: > > Assertion `pres->target != PIPE_BUFFER' failed. > > or the: > >

On 11/25/2015 03:43 PM, Hans de Goede wrote: > Hi, > > On 20-11-15 17:07, Samuel Pitoiset wrote: >> >> >> On 11/20/2015 11:36 AM, Hans de Goede wrote: >>> Hi Samual, et al, >> >> Hi Hans, >> >>> >>> In >>>

Hi, On 26-11-15 09:42, Samuel Pitoiset wrote: > Well, if you remove that assert locally, all compute tests in src/gallium/tests/trivial/compute.c pass on GK106, except the atomic ones. Do you mean the: Assertion `pres->target != PIPE_BUFFER' failed. or the: Assertion `tex->defExists(0) && tex->srcExists(0)' failed. assert? Or is the first one not present for

Dear I would like to know how to use the Croston method in R, consaltarte if I download a package? personally work the series as a SARIMA In the present instalment have many values zeros proposed the following model, but I have many doubts with his predictions. M3 = arima (d1, order = c (2,1,4), n. ahead = 4, seasonal = list (order = c (2,1,4), period = 4)) where D1 = diff (series) Many

Hi, On 20-11-15 17:07, Samuel Pitoiset wrote: > > > On 11/20/2015 11:36 AM, Hans de Goede wrote: >> Hi Samual, et al, > > Hi Hans, > >> >> In >> http://cgit.freedesktop.org/mesa/mesa/commit/src/gallium/drivers/nouveau?id=ff72440b40211326eda118232fabd53965410afd >> >> you write: "This compute support has been tested by >> Pierre

Estimados usuarios de R: Estoy usando un programa en que utilizo la función rake: *rake(ps,list(~A,~B,~C),list(pop.A, pop.B, pop.C),control = list(maxit=1000, epsilon = 1, verbose=TRUE))* ** *Obtengo como resultado:* ** , , C = 1 B A 1 2 3 4 5 A1 0.000000 0.000000 0.000000 0.000000 0.000000 A2 3.000000 3.000000 0.000000

UseRs, I am working on a dataset (see small example below) where individuals were followed on a specific date-time combo and multiple repeated measurements were taken (e.g., height in meters, behavior class in 2 letter code). Observation numbers varied between individual (ranging from 1 observation for each date-time combo to >50) I am trying to summarize the data into 1 row per

Hi, again i am stuck in my presentation, and i have never learn R before in my life but need this to be done, so please help me out for a favour: http://www.nabble.com/file/p20333155/kew.dat kew.dat run this in R and these comes up: Month Year Rain 1 Jan 1900 74.400000 2 Feb 1900 80.500000 3 Mar 1900 23.600000 4 Apr 1900 23.600000 5 May 1900 25.100000 6

Wolfgang, It is common to handle relative risk problems using Poisson regression. In your example you have 8 events out of 508 tries, and 0/500 in the second data set. > tdata <- data.frame(y=c(8,0), n=c(508,500), group=1:0) > fit <- glm(y ~ group + offset(log(n)), data=tdata, family=poisson) Because of the zero, the standard beta/se(beta) confidence intervals don't work.

maybe it's in the data? So here it comes. > sv.growth Grouped Data: length ~ meas | box_id meas spec comp water box_id sprouts leaves length long.sprout 1 1 Sv control moist 1 8.800000 37.80 211.2000 60.6 2 1 Sv xfull moist 2 7.000000 8.00 174.8000 62.8 3 1 Sv control moist 3 9.000000

Some might have noticed that REvolution Computing released the doSMP package to the general public about a month and a half ago, which allows multiple cores to be accessed for parallel computation in R. Some of our physical habitat calculations were taking an extraordinary amount of time to complete and required over-weekend runs, which prompted our interest in this package. What follows

I tested your fix (newhidups -DDD /dev/null) using both and APC Back-UPS 350 an APC Smart-UPS RT 2000 XL. No more segmentation fault due to the fixed-size array. ~Jacob -----Original Message----- From: nut-upsdev-bounces@lists.alioth.debian.org [mailto:nut-upsdev-bounces@lists.alioth.debian.org] On Behalf Of Peter Selinger Sent: Monday, October 16, 2006 12:12 PM To: Schmier, Jacob Cc: NUT

--l4Siqd0eqV Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Hello, I run the following job. Please, compare the results of summary and table concerning berufl. From similar SPSS/PSPP runs, the result of table is correct. Did I misunderstand anything or is there a bug? What does the difference come from? What does '(other)' mean? What about the strange

Hi Samual, et al, In http://cgit.freedesktop.org/mesa/mesa/commit/src/gallium/drivers/nouveau?id=ff72440b40211326eda118232fabd53965410afd you write: "This compute support has been tested by Pierre Moreau and myself with some compute kernels." Can you provide testing instructions (and the necessary files) so that I can try to reproduce your tests ? And once I've reproduced your

I've used the HDF5 library to bring some data into R. THe verbose output looks like this: > hdf5load("hdfGraphWed_Mar_16_13_33_37_2005.hdf",load=T,verbosity=1,tidy=T) Processing object: cprSeats ...... which is a Group Processing object: Seats 0 ...... its a dataset......Finished dataset Processing object: Seats 1 ...... its a dataset......Finished dataset Processing object: