similar to: Drawing asymmetric error bars

> Dear expeRts, > > Currently, my colors are as follows: > mycol <- > c("blue1","blue2","blue3","blue4","black","yellow4","yellow3","yellow2","y > ellow1") > heatmap(snp, Rowv=NA, Colv=NA, col=mycol) > > However, I would like to have the following colors: > bright blue ->

On Fri, Dec 19, 2014 at 2:40 PM, Brian Mathis <brian.mathis+centos at betteradmin.com> wrote: > > > GPG is really what you want to be using for this. OpenSSL is a general > toolkit that provide a lot of good functions, but you need to cobble some > things together yourself. GPG is meant to handle all of the other parts of > dealing with files. > > I will expand on

We are running tinc (v. 1.0.26) in switch mode with bmx6 (another mesh protocol) running on top of the tap0 interface on about 25 devices. The asymmetric routing of UDP packets is causing my firewall and I presume others to drop some of the packets, since there are no outbound SYN packets originating from the device running tinc. Is there any way to mitigate this issue besides enabling tcponly

Hi, I was wondering if there was some sort of package or function that calculated asymmetric confidence intervals for small proportions. I thought of both the epicalc and epitools package, but I am hoping to find something where you can just plug in a standard error and point estimate and it will output the upper and lower CI bounds. Thanks! Sarah

Hello everyone, I am working for a few days already on a basic algorithm, very common in applied agronomy, that aims to determine the degree-days necessary for a given individual to reach a given growth stade. The algorithm (and context) is explained here: http://www.oardc.ohio-state.edu/gdd/glossary.htm , and so I implemented my function in R as follows: DD <- function(Tmin, Tmax, Tseuil,

Hi all: I have a question on sample size calculation of 2 groups of data. If 2 groups of data are all normal distribution, then I can use the function "n.indep.t.test.eq" from samplesize package.But if 2 groups of data are all skewed distribution, but not normal distribution,how can I calculate the sample size then? I've tried many transformation (e.g. log arcsin…) in order to

Hello CentOS list, I have a requirement that I need to use encryption technology to encrypt very large tar file on a daily basis. The tar file is over 250G size and those are data backup. Every night the server generated a 250G data backup and it?s tar?ed into one tarball file. I want to encrypt this big tarball file. So far I have tried two technologies with no success. 1) generating RSA 2048

Hi, I have searched and found a response to a question similar to mine but when I tried the code, R says it's not an actual function so I thought I'd ask here. http://r.789695.n4.nabble.com/file/n4633035/Cookies.csv Cookies.csv I have attached the data I am using. I am trying to look at two things: how moisture content changes over time, and how it changes along the length of a log

Hello everyone, I''m wondering if the following makes sense: To configure a system for high IOPS, I want to have a zpool of 15K RPM SAS drives. For high IOPS, I believe it is best to let ZFS stripe them, instead of doing a raidz1 across them. Therefore, I would like to mirror the drives for reliability. Now, I''m wondering if I can get away with using a large capacity 7200

Hallo, I want to use awx without docker for the moment and found this tutorial: https://www.howtoforge.com/tutorial/centos-ansible-awx-installation/ Are there any other docs available? Thanks for hints Ralf Von meinem iPad gesendet

Gluster-Users, We currently have a 30 node Gluster Distributed-Replicate 15 x 2 filesystem. Each node has a ~20TB xfs filesystem mounted to /data and the bricks live on /data/brick. We have been very happy with this setup, but are now collecting more data that doesn't need to be replicated because it can be easily regenerated. Most of the data lives on our replicated volume and is

I have a new device that takes measurements anywhere from every second, to every 15 minutes (depending on changes). The matrix has a date, time and Y column (Y is the measurement). For three days it is 25,000 rows. How do I average the measurements by every 30 minutes so my matrix is 48 rows per day? I have been working on this and cannot figure out a simple method. Any ideas? Thank you. ----- In

Hello, I am trying to test a function argument to see if it is or is not a useful number. However I cannot seem to find a test that works. For example > f = function(x) { + print(exists("x")) + print(is.null(x)) + } >rm(x) > f(z) [1] TRUE Error in print(is.null(x)) : Object "z" not found exists gives TRUE, but then any other kind of test I try to run gives me an

This may sound crazy but... I have data like this... > results.matrix [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 949 93 2 11 26 20 7 6 10 5 0 3 [2,] 1233 124 24 35 58 57 17 21 31 19 11 21 Which is the result of binning (summing) the response variables of an underlying (nearly) continious range of predictor

Hi, I have an intermittent pxelinux boot problem. It happens rarely, for example it happened one day and then did not happen again until 6 days later. However when it does happen it is rather serious as it affects all clients on the network. Here is some basic info: - IBM netvista PCs, built-in pxe, banner says it is "PXE 2.x". - happens rarely, but when it does it affects all clients.

Hi I have a vector m: m [1] "ABC transporters" [2] "2" [3] "Acetyl-CoA" [4] "1" [5] "Energie" [6] "1" [7] "FAD Biosynthese"

Hi, I'm new to R, and I'm not a statistician (stunned silence). I am trying to do the following: 1. read in a 2-column data file, e.g. status new db green title "Most Significant Excursions" 2. end up with an R list such that I can write e.g. lst$title and have R return "Most Significant Excursions". I know I could do this by coding lst = list(title="Most

Hello, What options are available for me to debug my R scripts? For example I normally do something like >source("myfunctions.R") >function1("height", "weight") myfunctions.R is a large R source file that contains many functions. function1 is the "main" function in myfunctions.R. It calls many other user-written functions that are also in

Hey Everyone, I'm pretty new at R and wanted to try and make some graphs with dummy data before using it to analyze my own. I successfully made a bar graph and error bars, but I can't figure out how to align them properly (currently they are not centered on the bars and some of them aren't even close). Here's the code that I'm using: > marks <- sample(4:10, size=50,

Hello All, I've been using R for two years now and I am happy to say this is the first time I could not find the answer to my problem in the R-help archives. Here is the pending problem: I want to be able to insert delimiters, say commas, into a string of characters at uneven intervals such that: foo<-c("haveaniceday")#my string of character bar<-c(4,1,4,3) # my vector of