search for: co4

Hi all, Sorry for this newbie question. I am having a problem with yum on centos 4.7. When I try something like "yum update" I get the following error: file:///misc/CO4/updates/repodata/repomd.xml: [Errno 5] OSError: [Errno 2] No such file or directory: '/misc/CO4/updates/repodata/repomd.xml' Trying other mirror. Cannot open/read repomd.xml file for repository: update failure: repodata/repomd.xml from update: [Errno 256] No more mirrors to try. Error: fail...

...part from some general description. The time series are of length n=34 (annual observations between 1977 and 2010). The policy measure was introduced in 2000 and it has been implemented once a year ever since. The variable of interest (VI) is continuous, and I have four continuous covariates (CO1-CO4), plus the dummy intervention variable (DUM) which is equal to 0 between 1977 and 1999 and equal to 1 since 2000. I thought of using an ARIMAX model, with the arimax() function in the TSA package to fit the transfer function. I'm interested in modelling the intervention effect as a step functi...

Is there any way to specify a file to be deleted on the remote side explicitly by name? I would have thought that deleting the file locally, the rsyncing the non-existing file with --del would have resulted in the remote file, which does exist being deleted. I have a general purpose script that my developers use to push updates from a devel box to all production boxes. It's essentially

...found # the correct degrees of freedom covm=cov4, cmatrix=cm4, conf.level=0.95) sv4 <- summary(v4) # 2. Method: I found in Handbook of Statistics Vol 13, p.616, # same can be found in http://home.clara.net/sisa/bonhlp.htm # Bonferroni on correlated outcomes: raw.p <- sv4$p.value.raw co4 <- cor(df$y[df$v==0],df$y[df$v==1]) rho <- mean(c(1,co4,co4,1)) pai <- 1-(1-raw.p)^2^(1-rho) # The results of two methods are presented in the following lines: out <- cbind(raw.p, sv4$p.value.bon, sv4$p.value.adj, pai) colnames(out) <- c("raw.p", "bon.p", "...

...be found. Error in library(pkg, character.only =3D TRUE) :=20 .First.lib failed for 'FEAR' =20 =20 =20 Is this a bug in R version 2.4.0 and is there a fix? =20 =20 =20 ************************* Prof J Richmond Department of Economics University of Essex Colchester CO4 3SQ United Kingdom Tel: +44-(0)1206-872769 FAX: +44-(0)1206-872724 email: richj at essex.ac.uk ************************* =20 [[alternative HTML version deleted]]

Hi I am looking at purchasing some DID lines from Teliax to install it on my asterisk. i would like to know some feed back on "Teliax" before i purchase. suggest me if there are better sevice providers. thanks Giridhar Bandi -------------- next part -------------- An HTML attachment was scrubbed... URL:

...ave something to do with re-using an smbd process that was established when NT mounted my home directory (as stored in my profile), but that's as much as I can make out. Many TIA. randy ---------------------- Randy Banks (randy@essex.ac.uk) ISER, University of Essex Colchester, Essex, UK CO4 3SQ tel: +44 (0)1206 873 067; fax: +44 (0)1206 873 151

..., 29L, 29L, 29L, 30L, 30L, 30L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 39L, 40L, 41L), .Label = c("CO1", "CO10", "CO11", "CO12", "CO13", "CO14", "CO15", "CO16", "CO17", "CO2", "CO3", "CO4", "CO5", "CO6", "CO7", "CO8", "CO9", "PI1", "PI2", "PI3", "PI4", "PI5", "PI6", "PI7", "PI8", "PO1", "PO10", "PO11", "PO12",...

...on and the fourth shows the pair of animals involved in the contact. In this case the top 6 contacts are all between animals CO1 and CO12. There are nearly 100,000 records. There were many animals that could have contacted each other: > animals animals 1 CO1 2 CO2 3 CO3 4 CO4 5 CO5 6 CO6 7 CO7 8 CO8 9 CO9 10 CO10 11 CO11 12 CO12 13 CO13 14 CO14 15 CO15 16 CO16 17 CO17 18 PO1 19 PO2 20 PO3 21 PO4 22 PO5 23 PO6 24 PO7 25 PO8 26 PO9 27 PO10 28 PO11 29 PO12 30 PO13 31 PI1 32...

Since a while ago, R on my Mac terminal is being started in Japanese: R version 3.5.2 (2018-12-20) -- "Eggshell Igloo" Copyright (C) 2018 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin15.6.0 (64-bit) R ?????????????????????????? ????????????????????????????? ?????????????'license()' ???? 'licence()' ?????????? Natural language support

write.dcf(list('my-field' = 1L), tmp <- tempfile()) cat(readLines(tmp)) # my.field: 1 However there's nothing wrong with hyphenated fields per the Debian standard: https://www.debian.org/doc/debian-policy/ch-controlfields.html And in fact we see them using hyphenated fields there, and indeed read.dcf handles this just fine: writeLines(gsub('.', '-',

[a bit unsure on if this is maybe better for r-package-devel] We recently added translations to messages at the R and C level to data.table. At the C level, we did _() wrapping for char arrays supplied to the following functions: error, warning, Rprintf, Error, and snprintf. This seemed OK but the use of snprintf specifically appears to have caused a crash on Windows:

I happened to notice that this header file uses #import <Cocoa/Cocoa.h> This is the first time I came across the preprocessor directive #import; the first thing I found about it is this Q&A suggesting it's not portable nor standard C: https://stackoverflow.com/q/39280248/3576984 On the other hand, this exact invocation seems pretty common on GitHub

Right now, attaching the same package with different include.only= has no effect: library(Matrix, include.only="fac2sparse") library(Matrix) ls("package:Matrix") # [1] "fac2sparse" ?library does not cover this case -- what is covered is the _loading_ behavior of repeated calls: > [library and require] check and update the list of currently attached packages and

Hi all, What it says in the title. This is likely to cause a lot of CRAN packages to fail (I can try and quantify this if seen fit), but I think it's for the best. Packages should not (IMHO) be relying on partial matching in package code / tests. One might be more permissive for vignette/examples code, though I still find it poor practice. Among many reasons why package authors should resist

There's a bit of confusion about how to disable long double support in an R build. I see --disable-long-double scattered about, e.g. - R-exts: https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Writing-portable-packages - R-admin: https://cran.r-project.org/doc/manuals/r-release/R-admin.html#Solaris - CRAN noLD check description:

..., oldClass(x)) # <- restores 'IDate' class So we can fix our bug by defining a [<- class; the question that I still don't see answered in documentation or source code is, why/where is [<- called, exactly? Mike C On Sun, May 26, 2019 at 1:16 PM Michael Chirico <michaelchirico4 at gmail.com> wrote: > Debugging this issue: > > https://github.com/Rdatatable/data.table/issues/2008 > > We have custom class 'IDate' which inherits from 'Date' (it just forces > integer storage for efficiency, hence, I). > > The concatenation done by rb...

I am curious why readLines() has a default (n=-1L) to read the full file while readChar() has no default for nchars= (i.e., readChar(file) is an error). Is there a technical reason for this? I often[1] see code like paste(readLines(f), collapse="\n") which would be better served by readChar(), especially given issues with the global string cache I've come across[2]. But lacking the

Finally read in detail your response Gabe. Looks great, and I agree it's quite intuitive, as well as agree against non-recycling. Once the length(n) == length(dim(x)) behavior is enabled, I don't think there's any need/desire to have head() do x[1:6,1:6] anymore. head(x, c(6, 6)) is quite clear for those familiar with head(x, 6), it would seem to me. Mike C On Sat, Jul 13, 2019 at

This is another follow-up to the thread from September "Recent changes to as.complex(NA_real_)". A test in data.table was broken by the changes for NA coercion to complex; the breakage essentially comes from c(NA, 0+1i) # vs c(as.complex(NA), 0+1i) The former is the output we tested against; the latter is essentially (via coerceVector() in C) what's generated by our