similar to: Numerical Integration Problems

For any given pre-specified gene or short list of genes, yes the Cox model works fine. Two important caveats: 1. Remeber the rule of thumb for a Cox model of 20 events per variable (not n=20). Many microarray studies will have very marginal sample size. 2. If you are looking at many genes then a completely different strategy is required. There is a large and growing literature; I like Newton

Mesa only supports the non-spatial temporal deinterlace (deint=3). I'm guessing that due to some unfortunate issues, you're no longer getting hw accelerated video decoding. Check in vdpauinfo to make sure that it's indeed showing the relevant codec as supported. If not, you can turn that back on by updating to mesa 11.2.2, or downgrading your kernel to 4.2 or earlier. (The issue only

You can try playing with pstate in /sys/kernel/debug/dri/0/pstate On Mon, May 9, 2016 at 2:42 PM, poma <pomidorabelisima at gmail.com> wrote: > On 09.05.2016 19:37, Ilia Mirkin wrote: >> Mesa only supports the non-spatial temporal deinterlace (deint=3). I'm >> guessing that due to some unfortunate issues, you're no longer getting >> hw accelerated video

NVIDIA G98 mesa-dri-drivers-11.2.1-2.20160501.fc22.x86_64 (incl. mesa commit 38fcf7c) vdpauinfo | grep -i deint DEINTERLACE_TEMPORAL y DEINTERLACE_TEMPORAL_SPATIAL - https://cgit.freedesktop.org/vdpau/libvdpau/tree/include/vdpau/vdpau.h#n3420 #define VDP_VIDEO_MIXER_FEATURE_DEINTERLACE_TEMPORAL ((VdpVideoMixerFeature)0) /** * \hideinitializer * \brief A

On 09.05.2016 19:37, Ilia Mirkin wrote: > Mesa only supports the non-spatial temporal deinterlace (deint=3). I'm > guessing that due to some unfortunate issues, you're no longer getting > hw accelerated video decoding. Check in vdpauinfo to make sure that > it's indeed showing the relevant codec as supported. If not, you can > turn that back on by updating to mesa

Dear R-List: I`m trying to calculate the probabilities for a bivariate normal distribution while using the mvtnorm-package(dmvnorm) and the adapt-package for multidimensional integration. The problem is that I can`t specify the upper bound in the adapt-package the way I need it because I don`t need a rectangular area. I want to calculate the probability starting at the origin under the line y=x.

Dear R-list, I try to transform a mathematica script to R. #######relevant part of the Mathematica script (* p_sv *) dd = NN (DsD - DD^2); lownum = NN (L-DD)^2; upnum = NN (H-DD)^2; low = lownum/(2s^2); up = upnum/(2s^2); psv = NIntegrate[1/(s^NN) Exp[-dd/(2s^2)] (Gamma[1/2,0,up] + Gamma[1/2,0,low]),{s,sL,sH}, MinRecursion->3]; PSV = psv/Sqrt[2NN]; Print["------------- Results

Dear R-list members, I have a problem with translating a mathematica script into R. The whole script is at the end of the email (with initial values for easy reproduction) and can be pasted directly into R. The problematic part (which is included below of course) is <--- Original Mathematica ---> (* p_svbar *) UiA = Ni (Dsi - 2Di A + A^2)/2; UiiA = Nii (Dsii - 2Dii A + A^2)/2; psvbar =

In complex analysis, Cauchy's integral theorem states (loosely speaking) that the path integral of any entire differentiable function, around any closed curve, is zero. I would like to see this numerically, using R (and indeed I would like to use the residue theorem as well). Has anyone coded up path integration? -- Robin Hankin Uncertainty Analyst Southampton Oceanography Centre

The misc3d package provides a small collection of mostly rgl-based functions for 3D data: contour3d Uses rgl to render isosurfaces, or three-dimensional contours, computed by the marching cubes algorithm. image3d Crude 3d analog of image() using rgl to plot points on a three dimensional grid representing values in a three dimensional array. Assumes high

The misc3d package provides a small collection of mostly rgl-based functions for 3D data: contour3d Uses rgl to render isosurfaces, or three-dimensional contours, computed by the marching cubes algorithm. image3d Crude 3d analog of image() using rgl to plot points on a three dimensional grid representing values in a three dimensional array. Assumes high

Plotting vector fields as we know it from Wolfram Mathematica's PlotVectorField[{f1(x1), f2(x2)}, {x1, min, max}, {x2, ymin, ymax}, PlotPoints -> ...] ### FUNCTION DEFINITION #! Outer product with vector function ### # expand.outer joins functionality of "expand.grid" and "outer", so that # a vector function can be applied, values of which are then stored in

Hello, Is there some equivalent function in R of Mathematica's "Apply" i.e. Apply[ f, g[a,b]] ==> f[a,b] In concret, I have a matrix of indexes: > ind = cbind(1:5, 1:5+5) > ind [,1] [,2] [1,] 1 6 [2,] 2 7 [3,] 3 8 [4,] 4 9 [5,] 5 10 and I'd like to extract sequences 1:6, 2:7, 3:8, ..., 5:10 from a vector x. What would be the

In R, is there an automatic variable that stores the results of the most recent command or commands? (I am thinking of a behavior like Mathematica's % result-history substitution syntax.) (I am using R 2.3.1 on Linux and R 2.3.1 on Windows XP.) This is a pretty basic question, so I tried to do an extensive version of the recommended pre-posting homework. >

"Equivalence" certainly does not mean that literally replacing some text will not change the result. >From "R language definition", p. 11: > Except for the syntax, there is no difference between applying an operator and calling a function. In fact, x + y can equivalently be written ?+?(x, y). Notice that since ?+? is a nonstandard function name, it needs to be quoted.

https://bugs.freedesktop.org/show_bug.cgi?id=51579 Bug #: 51579 Summary: Xv video support is black on NVidia NVa8 Chipset in latest git Classification: Unclassified Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: All Status: NEW Severity: critical Priority: