similar to: nv50/gallium: fix the zeta formats

Hello, I've been tracking down a regression in fbo-generatemipmap-formats with ARB_depth_texture on nouveau (nv50 and nvc0 are affected) since http://cgit.freedesktop.org/mesa/mesa/commit/?id=0a1479c829ed34a65e60c6619a8164e1b079aaee FTR, the test I'm running is: bin/fbo-generatemipmap-formats GL_ARB_depth_texture -fbo -auto Looking at the displayed output (without -fbo -auto), it looks

Hi everyone, I am plotting a boxplot with main title as main = bquote(paste(.(ts.ind[s]), ": ", bar(zeta), " Boxplot from 2001 to 2009", sep = "")) but it doesn't work.  The program said they cannot find the function "bar".  Does anyone know how to do it correctly?  Thanks. tin [[alternative HTML version deleted]]

Hi, Is there any R library that is capable of handling polygamma function (Hurwitz zeta function also works)? I am aware of digamma(0 and trigamma(), but could not find more advanced versions. I'd appreciate any help. Hakan Demirtas

Dear R user, I want to estimate the parameter of ZETA or/and ZIPF distributions using R, given a series of integer values. Do you know a package (similar to MASS) or a function (similar to fitdistr) I can use to estimate the parameter of these distributions using MLE method? Otherwise do you know a function (which use MLE method to estimate distribution parameters) that allow me to specify a

Hi Friends, I'm new to R ,I have a data frame Z16 which is genarated from another data frame, and I want to add ?%? & ?$? in row 4 and 5 respectively. when I?m trying using below logic, I?m getting warning message. I'm using R 2.14.2 Version Can anyone help me out on this. Note: Initially i used tranfrom function to do some calculations,where ever it should give zero,its

Hi Friends, I have a data frame X, and I want to add ?%? & ?$? in row 4 and 5 respectively. when I?m trying using below logic, I?m getting warning message. Can anyone help me out on this. X: Summary G Y R T Accts 582 644 0 1226 AcctCov 230 165 0 395 Cov% 40 26 0 32 UnCov% 60 74 0 68 EqVol11$MM8.5 10.6 0 19.1 Using this logic:

R Users: I am trying to estimate a model of fertility behaviour using birth history data with maximum likelihood. My code works but is extremely slow (because of several for loops and my programming inefficiencies); when I use the genetic algorithm to optimize the likelihood function, it takes several days to complete (on a machine with Intel Core 2 processor [2.66GHz] and 2.99 GB RAM). Computing

Hi, I try to understand how the generalized hyperbolic distribution is standardized. One reference is the rugarch vignette, page 16-18: http://cran.r-project.org/web/packages/rugarch/vignettes/Introduction_to_the_rugarch_package.pdf I looked at the code of the dsgh function in the fBasics package: > dsgh function (x, zeta = 1, rho = 0, lambda = 1, log = FALSE) { if (length(zeta) == 3) {

Hello, I was trying to build some functions which I would like to integrate over an interval using the function 'integrate' from the 'stats' package. As an example, please consider the function h(u)=sin(pi*u) + sqrt(2)*sin(pi*2*u) + sqrt(3)*sin(pi*3*u) + 2*sin(pi*4*u) Two alternative ways to 'build' this function are as in f and g below: coeff<-sqrt(1:4)

Currently surface_fill sets alpha incorrectly to 1.0 when drawing to A8R8G8B8 instead of the correct value. xf86-video-nouveau has the following comment confirming the issue: /* When SURFACE_FORMAT_A8R8G8B8 is used with GDI_RECTANGLE_TEXT, the * alpha channel gets forced to 0xFF for some reason. We're using * SURFACE_FORMAT_Y32 as a workaround */ This

--- src/nouveau_dri2.c | 4 +++- src/nv_accel_common.c | 4 ++-- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/src/nouveau_dri2.c b/src/nouveau_dri2.c index d14443f..b99893f 100644 --- a/src/nouveau_dri2.c +++ b/src/nouveau_dri2.c @@ -46,6 +46,8 @@ nouveau_dri2_create_buffer(DrawablePtr pDraw, unsigned int attachment, ppix->refcnt++; } else { + /*

Dear R users, I have the following codes: zeta <- rep(1,8) n <- 7 for (i in 1:2){ beta <- zeta[1:n+(i-1)*(n+1)] print(beta) parm <- zeta[i*(n+1)] print(parm) } ################### The output is as follows: [1] 1 1 1 1 1 1 1 [1] 1 [1] NA NA NA NA NA NA NA [1] NA ####################### The outcome I want to get is: [1] 1 1 1 1 1 1 1 [1] 1 [1] 1 1 1 1 1 1 1 [1] 1 How could I get the

Hi, I am trying to use boot() to refit an ordinal logit (polr in MASS) model. (A very basic bootstrap which samples from the data frame without replacement and updates the model.) I need to extract two statistics per run (the coefficients and zeta) and I tried concatenating them into a single vector after fitting, but I get the following error: Error in "[<-"(*tmp*, r, ,

I am working with a somewhat complicated structure in which I need to deal with a function that takes ``basic'' arguments and also depends on a number of parameters which change depending on circumstances. I thought that a sexy way of dealing with this would be to assign the parameters as objects in the environment of the function in question. The following toy example gives a bit of the

https://bugs.freedesktop.org/show_bug.cgi?id=92306 Bug ID: 92306 Summary: GL Excess demo renders incorrectly on nv43 Product: Mesa Version: git Hardware: x86 (IA32) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component: Drivers/DRI/nouveau Assignee: nouveau

ｨ zeta.procergs.com.br") by samba.anu.edu.au with ESMTP id <S12866463AbPHTLwe>; Fri, 20 Aug 1999 21:52:34 +1000 Received: from [200.248.116.68] ([200.248.116.68]) by zeta.procergs.com.br (8.9.1a/8.9.1) with SMTP id IAA39864 for <samba@samba.anu.edu.au>; Fri, 20 Aug 1999 08:57:34 -0300 Received: from zafnt2.zaffari.com.br by [200.248.116.68] via smtpd (for

First some data errors I get with both nv20 exa and nv20 dri/mesa. 1. RT_FORMAT LINEAR + X8R8G8B8 Ch 1/5 Class 0x0597 Mthd 0x0208 Data 0x00800080:0x00000105 Ch 1/5 Class 0x0597 Mthd 0x0208 Data 0x01000100:0x00000105 LINEAR + A8R8G8B8 Ch 1/5 Class 0x0597 Mthd 0x0208 Data 0x01000100:0x00000108 Ch 1/5 Class 0x0597 Mthd 0x0208 Data 0x00800080:0x00000108 The only value I found in renouveau dump

As part of carrying out a complicated maximum likelihood estimation, I am trying to learn to program likelihoods in R. I started with a simple probit model but am unable to get the code to work. Any help or suggestions are most welcome. I give my code below: ************************************ mlogl <- function(mu, y, X) { n <- nrow(X) zeta <- X%*%mu llik <- 0 for (i in 1:n) { if

This patch rewrites all the miptree layout and transfer code in the pre-NV50 Gallium drivers. The code is also unified among them and put in the nv04 directory. The current code is broken in several ways: 1. 3D textures are laid out first by face, then by level, which is incorrect 2. Cube maps should have 128-byte aligned faces 3. Swizzled textures have a strange alignment test that seems

Changes: - Fixed some nv##_miptree that were not converted to nv04_miptree. - Disable swizzling on non-RGBA 2D textures, since the current 2D code is mostly broken in those cases. A later patch will fix this. Thanks to Andrew Randrianasulu who reported this. This patch rewrites all the miptree layout and transfer code in the pre-NV50 Gallium drivers. The code is also unified among them and