similar to: print color

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W dniu 19.01.2017 o 10:17, Hal Wigoda pisze: > I have experienced this myself. It is very upsetting. It happened on servers with docker installed. I got error message there: # semanage port -a -t ssh_port_t -p tcp <newport> Re-declaration of type docker_t Failed to create node Bad type declaration at /etc/selinux/targeted/tmp/modules/100/docker/cil:1 OSError: Error After

On 01/19/2017 04:47 AM, Marcin Trendota wrote: > W dniu 19.01.2017 o 10:17, Hal Wigoda pisze: >> I have experienced this myself. It is very upsetting. > > > It happened on servers with docker installed. I got error message there: > # semanage port -a -t ssh_port_t -p tcp <newport> > Re-declaration of type docker_t > Failed to create node > Bad type

Hello. I'm trying to make some graphics with nationalized labels (pdf for use in LaTeX document). On console (displayed on screen) using all looks ok: ----------------------------------------\/ data<-rnorm(100) hist(data,main='Rozk?ad g?sto?ci punkt?w', xlab='Warto?? na osi y', ylab='Cz?sto?? wyst?powania') -------------------------------------------/\ But

Hi All. I'd like to generate a sample of n observations from a k dimensional multivariate normal distribution with a random correlation matrix. My solution: The lower (or upper) triangle of the correlation matrix has n.tri=(d/2)(d+1)-d entries. Take a uniform sample of n.tri possible correlations (runi(n.tr,-.99,.99) Populate a triangle of the matrix with the sampled correlations Mirror the

po/LINGUAS | 2 +- po/pl.po | 61 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 62 insertions(+), 1 deletion(-) New commits: commit 54a78d5fda9973f9db36d164f09746fe18607043 Author: Jakub Bogusz <qboosh at pld-linux.org> Date: Sun Dec 16 22:28:25 2007 +0100 add Polish translation diff --git a/po/LINGUAS b/po/LINGUAS index a1bece0..fe71204

Hi, I'm trying to obtain confidence intervals for auto and cross correlation estimates. I've adapted code made available by Stock and Watson that uses the Bartlett Kernel and the delta method. In R it runs really, really slow because of the loops it uses and I have 9 series that I'd like to examine (81 total combinations). It was easy enough to replace one of the while loops with a

Hi I'm trying to write a generic script for processing some data which finishes off with some plots. Given Im never sure how many columns will be in my dataframe I wanted to using the following plot(spectra.wavelength, cormat, type = "l", ylim=c(-1,1), xlab="Wavelength (nm)", ylab="Correlation") however even if I specify as type="l" it appears plot

Hello, I'm attempting to create a data frame with correlations between every pair of variables in a data frame, so that I can then sort by the value of the correlation coefficient and see which pairs of variables are most strongly correlated. The sm2vec function in the corpcor library works very nicely as shown here: library(Hmisc) library(corpcor) # Create example data x1 = runif(50) x2 =

Hi, I was trying to evaluate the pearson correlation and the p-values for an nxm matrix, where each row represents a vector. One way to do it would be to iterate through each row, and find its correlation value( and the p-value) with respect to the other rows. Is there some function by which I can use the matrix as input? Ideally, the output would be an nxn matrix, containing the p-values

Dear R community: I want to simulate a regression matrix which is generated from an orthonormal matrix X of dimension 30*10 with different between-column pairwise correlation coefficients generated from uniform distribution U(-1,1). Thanks in advance! Rui [[alternative HTML version deleted]]

Dear R users, Simple question. Can anyone help with the code that would allow me to view only the variables who's correlation output is >0.8? This is the code I'm using to date >cor(data, method="spearman") Kind regards Krys -------------------------------------------- _________________________________________________________________ Save time by

Dear R users, I am trying to print heatmaps in a loop (with a pause). Idea is to visualize changing correlations over time and for testing I wrote this simple (reproducible) code below. My problem is that levelplot() does not produce any output when I run the code (though heatmap does). Ideally I would like to use levelplot() as it produces a neat index on the side indicating the color and the

I have experienced this myself. It is very upsetting. (Sent from iPhone, so please accept my apologies in advance for any spelling or grammatical errors.) > On Jan 19, 2017, at 2:57 AM, Fabian Arrotin <arrfab at centos.org> wrote: > > log

Hi, I''ve run linux off an on for several years. Recently I''ve been using windows (simply for ease), but have gotten so fed up with stability and what not. I had read good things about xen, so I installed suse and was hoping to not give up the 10% of things that I need windows for. I''ve still got windows on a partition and was wondering if I could boot that, but wanted

I all I am just trying to get the idea of a loop if statement for another purpose. I was going to label a new variable based on date ie first week 1, second week 2 etc. My code in bold is wrong but seems logical to me, could someone help. x <- rep(c(2660156,2663703,2658165,2659303,2661531,2660914),c(2,2,2,2,1,1)) y <- rep(c(6476767,6475013,6475487,6479659,6477004,6476388),c(2,2,2,2,1,1))

> > >From: robert-mcfadden w o2.pl > > >Date: 2008/04/02 Wed AM 09:58:28 CDT > > >To: r-help w r-project.org > > >Subject: [R] Nonlinear equation > > > > hi: you need to give an example and details or > > you won't get much response, if any. Equation e.g. (A, B are known constants): 3log(gamma(x))-log(gamma(x)*gamma(2x))+(x-1)*A+B=0

Dear R Users I would like to use optim function to optimize a function. I read help but I couldn't find what I need: is it possible to get information after each iteration, for example as there is in MATLAB: Gradient's Iteration Func-count f(x) Step-size infinity-norm 0 24 388.976