search for: 0.26

Hi everybody, I'm working on the very messy data, I have tried to clean it up in SAS and SAS/IML but there is not enough info on how to handle certain things in SAS so I have turned to R. The thing itself should be rather simple, so i was wondering if someone could help me out. The original .csv has ([1] 7138 6338 ) dimensions with funds with the corresponding dates and observations for each

ffmpeg2theora 0.26 is out - http://v2v.cc/~j/ffmpeg2theora Some changes that went into this release: * use a/v sync from input container this should fix many issues that came up with variable framerates * include metadata from source in --info json output * update fmpeg * update libkate * OggIndex support, can be enabled with --seek-index * update GPL to version 3 Source:

ffmpeg2theora 0.26 is out - http://v2v.cc/~j/ffmpeg2theora Some changes that went into this release: * use a/v sync from input container this should fix many issues that came up with variable framerates * include metadata from source in --info json output * update fmpeg * update libkate * OggIndex support, can be enabled with --seek-index * update GPL to version 3 Source:

CentOS Errata and Security Advisory 2018:2732 Important Upstream details at : https://access.redhat.com/errata/RHSA-2018:2732 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 9b96c82fae6fe02637eed3dac468fc6c8b7873ebd6447780880691dd8e6fd44d spice-glib-0.26-8.el6_10.1.i686.rpm

CentOS Errata and Security Advisory 2020:0471 Moderate Upstream details at : https://access.redhat.com/errata/RHSA-2020:0471 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: c89a83ebbc2927db579984c7570fe55087dcaafeec5ce677ab22e3f757a71bec spice-glib-0.26-8.el6_10.2.i686.rpm

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Hi, I am trying to test the proportional-odds model using the "polr" function in the MASS library with the dataset of "housing" contained in the MASS book ("Sat" (factor: low, medium, high) is the dependent variable, "Infl" (low, medium, high), "Type" (tower, apartment, atrium, terrace) and "Cont" (low, high) are the predictor variables

Hello~   Did any one have used the package 'orcutt' ?   I find that it can not work smoothly in a single variable regression. I use the example following, it function very well.   But when I regress "cons" on "price" (use the "reg1<-lm(cons~price+income+temp)") , then  use "reg11<-cochrane.orcutt(reg1) ". There is an error message “Error in

Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1

Hello everyone,           I have a basic question regarding logical operators. > x<-seq(-1,1,by=0.02) > x   [1] -1.00 -0.98 -0.96 -0.94 -0.92 -0.90 -0.88 -0.86 -0.84 -0.82 -0.80 -0.78  [13] -0.76 -0.74 -0.72 -0.70 -0.68 -0.66 -0.64 -0.62 -0.60 -0.58 -0.56 -0.54  [25] -0.52 -0.50 -0.48 -0.46 -0.44 -0.42 -0.40 -0.38 -0.36 -0.34 -0.32 -0.30  [37] -0.28 -0.26 -0.24 -0.22 -0.20 -0.18 -0.16

On Mon, Dec 16, 2013 at 04:16:29PM -0800, Michael Dalton wrote: > Commit 2613af0ed18a ("virtio_net: migrate mergeable rx buffers to page frag > allocators") changed the mergeable receive buffer size from PAGE_SIZE to > MTU-size, introducing a single-stream regression for benchmarks with large > average packet size. There is no single optimal buffer size for all >

On Mon, Dec 16, 2013 at 04:16:29PM -0800, Michael Dalton wrote: > Commit 2613af0ed18a ("virtio_net: migrate mergeable rx buffers to page frag > allocators") changed the mergeable receive buffer size from PAGE_SIZE to > MTU-size, introducing a single-stream regression for benchmarks with large > average packet size. There is no single optimal buffer size for all >

Hi everybody, well, I definitely don't understand anything. Why the hist function with freq=FALSE gives such a strange result??? R <- c(-1.10, 0.79, -1.17, -0.53, -0.26, -0.22, 0.29, -0.26, -0.26, 0.39) hist(R, freq=FALSE, breaks=10) Thanks everybody [[alternative HTML version deleted]]

On Feb 28, 2014, at 1:05 PM, Tim Dawson wrote: > Git: > > Network UPS Tools - BCMXCP UPS driver 0.28 (2.7.1) > RS-232 communication subdriver 0.20 > > > 2.7.1: > > Network UPS Tools - BCMXCP UPS driver 0.26 (2.6.5-3857M) > RS-232 communication subdriver 0.20 > > > I'm not so much noting the "2.6.5" in the dev, but the 0.28 vs 0.26 bcmxcp

Hi list, I'd like to make a factor with seven 1s and three 2s using the factor() function. That is, 1 1 1 1 1 1 1 2 2 2 I will then bind this factor to the matrix below using cbind.data.frame(). 0.56 0.48 0.22 0.59 0.32 0.64 0.26 0.60 0.25 0.38 0.24 0.45 0.56 0.67 0.78 0.97 0.87 0.79 0.82 0.85 I am new to R and have been using various manuals and have made many attempts without

Dear R Users,i am very new to R. I want your help on an issue regarding distance matrix and cluster analysis i had discharge data of 4 rivers(a,b,c,d) in 4 vectors each having 364 values > dput(qmu)structure(list(a = c(0.26, 0.25, 0.25, 0.25, 0.24, 0.23, 0.22, 0.21, 0.21, 0.21, 0.2, 0.19, 0.19, 0.19, 0.19, 0.18, 0.18, 0.18, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17,

> I''m on OSX, and I previously manually installed some test builds to help with > testing. Now when I go and install the official 0.26, the installer claims > that I have a newer version and refuse to install. Does anyone know how I can > fix that? This is a new "feature" in Mac OS 10.6. I am not even sure what it''s trying to accomplish but it gets upset

I am new to R, and didn't know which list to send this to, since it is a bug report about a package, not about core R... I have created a regression tree using 4 predictors: 3 are unordered (binary) predictors, and the last is a date (integer), which I declare to be an ordered factor. However, the tree treats the date as if it were un-ordered, splitting into non-consecutive subsets. My code

Hi, I have a 3d array as below, I want to make this array to a matrix of p=50(rows) and n=20(columns) with the coverage values . The code before the array is: library(binom) Loading required package: lattice pi.seq<-seq(from = 0.01, to = 0.5, by = 0.01) no.seq<-seq(from = 5, to = 100, by = 5) cp.all = binom.coverage( p = pi.seq, n = no.seq , conf.level = 0.95, method = "exact")

Question: I just uploaded the git development repository, and upon building it, I note that on the bcmxcp driver, it would appear that the git tree is actually older than what is in the 2.7.1 release: Git: Network UPS Tools - BCMXCP UPS driver 0.28 (2.7.1) RS-232 communication subdriver 0.20 2.7.1: Network UPS Tools - BCMXCP UPS driver 0.26 (2.6.5-3857M) RS-232 communication subdriver 0.20