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Hello all R-users! In Jun-2005, I find the follow discussion about using of LME function ( in NLME library ) for fitting non-replicate data The thread: ANOVA vs REML approach to variance component estimation http://tolstoy.newcastle.edu.au/R/help/05/06/6498.html Someone expose the follow problem: # non-replicate data y <- c(2.2, -1.4, -0.5, -0.3, -2.1, 1.5, 1.3, -0.3, 0.5, -1.4,

Optimize opus encode (float only) usecase using ARM NE10 library. Mainly effects opus_fft and ctl_mdct_forward and related functions. This optimization can be used for ARM CPUs that have NEON VFP unit. This patch only enables optimizations for ARMv7. Official ARM NE10 library page available at http://projectne10.github.io/Ne10/ To enable this optimization, use --enable-intrinsics

dear members, I have a function ygrpc which acts on the daily price increments of a stock. It returns the following values: ygrpc(PFC.NS,"h") [1] 2.149997 1.875000 0.750000 0.349991 2.100006 0.199997 4.000000 2.574996 0.500000 0.349999 1.500000 0.700001 [13] 0.500000 1.300003 0.449997 2.800003 2.724998 66.150002 0.550003 0.050003 1.224991 4.899994 1.375000

I was having some odd results when working with acts_as_ferret (current trunk), so I decided to test with the current version of ferret to see if I encountered the same problem. I did. Here are the details: installed ferret 0.10.10 on debian sarge with ''sudo gem install ferret'' (btw, same results on OSX) opened up an irb session: irb(main):001:0> require

Hello opus-dev, I've been cooking up this patchset to integrate NE10 library into opus. Current patchset focuses on encode use case mainly effecting performance of clt_mdct_forward() and opus_fft() (for float only) Glad to report the following on Encode use case: (Measured on my Beaglebone Black Cortex-A8 board) - Performance improvement for encode use case ~= 12.34% (Based on time -p

hi all i have a question that about the eigen analysis found in R and in eviews. i used the same data set in the two packages and found different answers. which is incorrect? the data is: aa ( a correlation matrix) 1 0.9801 0.9801 0.9801 0.9801 0.9801 1 0.9801 0.9801 0.9801 0.9801 0.9801 1 0.9801 0.9801 0.9801 0.9801 0.9801 1 0.9801 0.9801 0.9801 0.9801 0.9801 1 now > svd(aa) $d [1] 4.9204

Hi Akshay, (Please include r-help when replying) You have learned that PFC.NS and snl[[159]] are not identical. Now you have to figure out why they differ. This could also point to a bug or a logic error in your program. Figuring out how two objects differ can be a bit tricky, but with experience it becomes easier. (Some others may even have some suggestions for good ways to do it.) Basically

So, trying to convert a very long, somewhat technical bit of lin alg MATLAB code to R. Most of it working, but raninto a stumbling block that is probaably simple enough for someone to explain. Basically, trying to 'line up' MATLAB results from an element-wise division of a matrix by a vector with R output. Here is a simplified version of the MATLAB code I'm translating: NN = [1,

I have two questions about using a user-defined random number generator (RNG) with the standalone Rmath library. The default RNG with the standalone Rmath library is the Marsaglia-multicarry generator, which has poor properties. The "R Installation and Administration" manual, in the section "The standalone Rmath library", states that: ``` A little care is needed to use the

I am using R on unix version 63.0 I am doing an image plot of the following data file: ================================ lag1 lag2 cif2d 0.000 0.000 NaN 0.000 1.000 0.500000 0.000 2.000 0.489831 0.000 3.000 0.492986 0.000 4.000 0.493409 0.000 5.000 0.492727 0.000 6.000 0.494485 1.000 0.000 0.500000 1.000 1.000 NaN 1.000 2.000 0.495098 1.000 3.000 0.489831 1.000 4.000 0.492986 1.000 5.000

I was doing some testing with the 2.6.0-1 beta Windows installer and a Cyber Power CP1350PFCLCD UPS, and ran into an infinite loop in the usbhid-ups driver if the UPS is lost on the UPS bus. This is on a Windows XP SP3 system. USB device access is via libusb 1.2.4.0 (driver mode, not filter) in case that matters. Everything seems to work just fine so far while the UPS is connected (so kudos,

Hi- I need to subset the following data by the column 'dal' for values that equal the regular interval seq(0, 150, by=0.5) exactly.... ....excluding rows with irregular 'dal' values such as c(2.888958, 2.891620), etc. data<-data.frame(id=id, dal=dal, date=date, mu.x=mu.x) $dal [1] 0.000000 0.500000 1.000000 1.500000 2.000000 2.500000 2.888958 2.891620 3.000000 3.245405

Hi All, This series implements using double immediates in the nouveau codegen code. This turns the following (nvc0) code: 1: mov u32 $r2 0x00000000 (8) 2: mov u32 $r3 0x3fe00000 (8) 3: add f64 $r0d $r0d $r2d (8) Into: 1: add f64 $r0d $r0d 0.500000 (8) This has been tested with the 2 double shader tests which I just send to the piglet list. On a gk208 (gk110 / SM35)

> t(t(NN)/lambda) [,1] [,2] [,3] [1,] 0.5 0.6666667 0.75 [2,] 2.0 1.6666667 1.50 > R matrices are column-based. MATLAB matrices are row-based. > On Feb 27, 2024, at 14:54, Evan Cooch <evan.cooch at gmail.com> wrote: > > So, trying to convert a very long, somewhat technical bit of lin alg > MATLAB code to R. Most of it working, but raninto a stumbling block

Having some difficulties with understanding how tapply works and getting return values I expect Data: dataframe. DF DF$Id $D $Year....... Id D Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 11264402000 1 1980 NA NA NA NA NA 212 203 209 228 237 NA NA 11264402000 0 1981 NA NA 243 244 NA NA NA NA 225 NA 231 NA 11264402000 1

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

I'm using R on Windows v2.0.1 with the nlme package (v3.1-53) and am finding some unexpected discrepancies in the output of intervals.lme and coef.lme. I've included a toy dataset at the end, but briefly, the data are longitudinal data from couples in marital therapy. Each spouse's relationship satisfaction is measured 4 times; I've fit both linear and quadratic models to the

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

hi everyone, congratulations on the release of icecast 2.1.0 I presume this is the right place to post about iceS. please correct if wrong. I have a two instance setup, and have been finding that after a network error occurs, the instance does not reconnect. The source server is behind a linux NAT box. I have simulated the problem by using iptables REJECT with tcp-reset and here is the

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, >>