similar to: Package VIF

On Fri, Oct 28, 2011 at 10:50 AM, Jeffrey Yasskin <jyasskin at google.com> wrote: > On Fri, Oct 28, 2011 at 10:25 AM, Daniel Dunbar <daniel at zuster.org> wrote: >>  * I don't think CMake is good enough. I agree it solves problems, but >> I want to use great tools, not ones that work. In particular: >>    (c) This doesn't solve any other nice problems:

Dear list, I have two things I am struggling... # First set.seed(123) myD <- data.frame( Light = sample(LETTERS[1:2], 10, replace=T), Feed = sample(letters[1:5], 20, replace=T), value=rnorm(20) ) # Mean for Light myD$meanLight <- unlist( lapply( myD$Light, function(x) mean( myD$value[myD$Light == x]) ) ) # Mean for Feed

https://bugzilla.samba.org/show_bug.cgi?id=8712 Summary: --link-dest doesn't work if target file exists (but needs updating) Product: rsync Version: 3.0.7 Platform: All OS/Version: Linux Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at

Using: # rsync --version rsync version 3.0.7 protocol version 30 Copyright (C) 1996-2009 by Andrew Tridgell, Wayne Davison, and others. Web site: http://rsync.samba.org/ Capabilities: 64-bit files, 64-bit inums, 32-bit timestamps, 64-bit long ints, socketpairs, hardlinks, symlinks, IPv6, batchfiles, inplace, append, ACLs, xattrs, iconv, symtimes rsync comes with ABSOLUTELY NO

On Fri, Oct 28, 2011 at 10:25 AM, Daniel Dunbar <daniel at zuster.org> wrote: >  * I don't think CMake is good enough. I agree it solves problems, but > I want to use great tools, not ones that work. In particular: >    (c) This doesn't solve any other nice problems: >          (i) It doesn't make it easier to play with other build > systems (like Ninja, or gyp).

Hi, We're encountering a rather weird, sporadic hang during a large-file transfer. A bit of background on the setup: - Host A rsyncs a MySQL database from Host B. Both sides use rsync 3.1.1 on Debian Jessie. - Host B serves the files using rsync --daemon from an ext4 filesystem residing on a thin LVM snapshot. - Host A uses the following command to rsync the files to a btrfs

Hi all. I would like to highlight overlapping regions of two densities and I could not find a way to do it. Here is the sample code: myd <- c(2,4,5, 4,3,2,2,3,3,3,2,3,3,4,2,4,3,3,3,2,2.5, 2, 3,3, 2.3, 3, 3, 2, 3) myd1 <- myd-2 plot(range(density(myd)$x, density(myd1)$x), range(density(myd)$y, density(myd1)$y), type = "n") lines(density(myd), col=1, lwd=4)

https://bugzilla.samba.org/show_bug.cgi?id=1599 Summary: copy-unsafe-links cann't take affect Product: rsync Version: 2.6.2 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy: faris.xiao@haoxi.com

Hi all, ok, i know i can cut a dendrogram, which i did. all i get is three objects that a dendrograms itself. for example: myd$upper, myd$lower[[1]], myd$lower[[2]] and so on. of course i can plot them seperately now. but the lower parts still have hundreds of branches. i?ll need a 30 " widescreen to watch the whole picture. what i?d like to is group the lower branches , so that i get a

Hello everybody, Data is myd <- data.frame(id1=rep(c("a","b","c"),each=3),id2=rep(1:3,3),val=rnorm(9)) I want to get a cumulative sum over each of id1. trying aggregate does not work myd$pcum <- aggregate(myd[,c("val")],list(orig=myd$id1),cumsum) Please suggest a solution. In real the dataframe is huge so looping with for and subsetting is not a

https://bugzilla.samba.org/show_bug.cgi?id=11683 Bug ID: 11683 Summary: hang on select when send many files Product: rsync Version: 3.1.2 Hardware: All OS: All Status: NEW Severity: normal Priority: P5 Component: core Assignee: wayned at samba.org Reporter: tom916 at

Hi, I must be missing something here...Essentially, a short piece of code works if it's standalone, but doesn't work if it's divided into two functions. The code that works is: ################### WORKS ############### library(pamr) set.seed(120) x <- matrix(rnorm(1000*20),ncol=20) y <- sample(c(1:4),size=20,replace=TRUE) mydata <- list(x=x,y=y)

Dear All, I have a database of 200 observations named myD. In the dataframe there are a column named code (with codes varying from 1 to 77), a column named "prevalence" with some quantitative measurements are given and an column named Pr_mean, with no values. I would like to set a cycle to compute the average of prevalence values for each different code and store the averages under the

At office, using the internal LAN at my disposal, I'm having a go at parallel computing - to begin with - with pvm, rpvm & snow. The two boxes are as follows Remote machine uffbsd: CPU: Intel(R) Pentium(R) 4 CPU 2.00GHz (1994.13-MHz 686-class CPU) Origin = "GenuineIntel" Id = 0xf24 Stepping = 4 real memory = 260046848 (248 MB) This machine NbBSD: CPU: Mobile Intel(R)

Hi, I am trying to built an ISO with nodejs010 packages but when I run the command "repoclosure -a x86_64 -r <local-repository-name>" to check its further dependencies, it is giving unresolved dependencies error. Example: package: nodejs010-node-gyp-3.2.0-2.el7.centos.noarch from Harman (it's a local repo name) unresolved deps: npm(minimatch) < 0:4

Hallo I am teaching a very elementary intro course about R, and want to show the students how to find the distribution of the maximum of rolling two balanced die. Is there perhaps a more elegant way to do this, other than the way I am using below? (I would like to show them two ways - the one shown here, and perhaps and improved/elegant approach (showing off the "beauty" of R.

Hello everyone, I am new to R, using version 2.0.1 on a Macintosh running OS X 10.3. I am learning how to export graphics to postscript format using the postscript() function, but R is only writing empty files. Yesterday, postscript() was working for me. Today, I don't know what's wrong. Can somebody suggest some things that might fix this problem? Thanks in advance for you help.

Hi Everyone, This example code results in R 'crashing'; that is the R application closes with no warnings or error messages. #----------------------- myD <- read.table(stdin(), header=TRUE, nrows=20) Broth Salt pH Temp N Y Growth 1 310 9.0 2.92 10 90.0 NA 0 2 615 6.0 7.82 30 1.0 2 1 3 217 2.0 7.34 10 7.0 8

And, BTW, right now, I am able to see my problem via the following 3 ways... 1) Through Windows DNS Manager, I cannot add, change or delete any DNS records from: mycompany.loc samdom.mycompany.net mycompany.net I *can* add, change and delete DNS records from: _msdcs.samdom.mycompany.net mycompany.com 7.168.192.in-addr.arpa 5.168.192.in-addr.arpa 3.168.192.in-addr.arpa

Dear R Users, I'm very very interested in learning how to use R to carry out a classification of data using discriminant function analysis. I've found the MASS package and the lda function, but the examples in the help system are a bit over my head. I'm not exactly sure how to interpret the output, for example, of if the inputs I've chosen are best suited to my needs. I