similar to: [Bug 2374] Discrepancy in --exclude-from option between Gnu tar and rsync

https://bugzilla.samba.org/show_bug.cgi?id=2374 Summary: Discrepancy in --exclude-from option between Gnu tar and rsync Product: rsync Version: 2.6.3 Platform: x86 OS/Version: Linux Status: NEW Severity: enhancement Priority: P3 Component: core AssignedTo: wayned@samba.org

https://bugzilla.samba.org/show_bug.cgi?id=2375 wayned@samba.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |ASSIGNED Summary|Support (a la Gnu tar) for |Support (a la Gnu tar) for - |'-C' (--directory DIR)

https://bugzilla.mindrot.org/show_bug.cgi?id=2374 Bug ID: 2374 Summary: please make single(!) addresses that cannot be bound to not failing sshd startup Product: Portable OpenSSH Version: 6.7p1 Hardware: Other OS: All Status: NEW Severity: enhancement Priority: P5

Hi, Say I''ve got a directory full of stale Tomcat temp files of the form: /usr/local/blackboard/apps/tomcat/work/Catalina/localhost/webapps_assessment/strts6866.tmp and I want to delete any files that haven''t changed in a week and not keep any backup. Should this get rid of them: tidy {

Everything is ok on Firefox, IE, and iPad. Thanks, Erin On Tue, Jan 8, 2013 at 7:58 PM, Erin Hodgess <erinm.hodgess at gmail.com> wrote: > Dear R People: > > Has anyone used R2HTML in web files that were on the Blackboard LMS, please? > > I'm starting to do these but wanted to know if there were any > potential pitfalls. > > Thanks, > Erin > > > --

> And where do we get this? Saw nothing on the speex website... http://www.openacm.org/ --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'speex-dev-request@xiph.org' containing only the word 'unsubscribe' in the body. No subject is needed. Unsubscribe messages sent to

On Tue, 31 Oct 2017 17:59:40 +0100 Marco Gaiarin via samba <samba at lists.samba.org> wrote: > > I reply to myself... > > > So, the question: how replica works?! I'm confused... > > To add ''strangeness'', i've done another password change, on DC1, and > verified that password change time does not propagate to DC2. Are you sure that it

Hi, I found a discrepancy between results in R and Stata for a factor analysis with a promax rotation. For Stata: . *rotate, factor(2) promax* (promax rotation) Rotated Factor Loadings Variable | 1 2 Uniqueness -------------+-------------------------------- pfq_amanag~y | -0.17802 0.64161 0.70698 pfq_bwalk_~ø | 0.72569 0.05570

Sending my son back to college with a dual-boot laptop with Win 7 and CentOS 5.5. He uses Win7 to manage his iPod and SW that sometimes issued by a professor for a specific course...otherwise he uses CentOS for everything else. That setup worked well last year, except for printing. He has a low-end Cannon printer that is not supported in the Linux realm. Most of his coursework was uploaded to

Hi! I want to create a discrepancy matrix. I have got a data.frame Q: number colour date 2 343 b 1503 3 678 g 1701 4 347 b 1904 5 345 b 2001 6 123 g 1809 Now i want to create a matrix, whose entries are the total differences between the ranks of number and date for each

Is there any way to _test_ if a given sequence is a low-discrepancy sequence? Or, equivalently, is there any way to measure the "discrepancy" of a sequence? WTIW, ... http://en.wikipedia.org/wiki/Low-discrepancy_sequence ... doesn't look like something implementation-friendly :-) Alberto Monteiro PS: low discrepany sequences are easily generated in R by the functions

In the case of inherits (at least) this seems intended. The help page says: "If the object does not have a class attribute, it has an implicit class..." which I take to mean that if an object does have a class attribute it does not also have an implicit class. The behavior you noted below will apply to other types bearing implicit classes. For example: > inherits(1.0,

In the course of exploring response prediction, I stumbled upon a small discrepancy between the CIs produced by predict.lm() and all.effects() require(mlmRev) require(effects) hsb.lm <- lm(mAch ~ minrty * sector, Hsb82) hsb.new <- data.frame( minrty = rep(c('No', 'Yes'), 2), sector = rep(c('Public', 'Catholic'), each = 2)) hsb.eff <-

On Wednesday 10 December 2003 06:33 am, Tom Eastep wrote: > On Tuesday 09 December 2003 09:29 pm, you wrote: > > I am sorry. I thought I was clear. I guess I did not state explicitly > > the discrepancy. > > Sorry for being snippy -- I shouldn''t let my personal problems leak out onto > the list. > > > The comments (#) I put in the original post (below)

From: Brett Walker <brett.walker at geometry.com.au> Remove a discrepancy between code comments and the definition for arena_header, ARENA_PADDING and free_arena_header. When the size of int and pointer are both 32-bits; and compiled with DEBUG_MALLOC undefined; the following are true: sizeof(arena_header) == 16 and sizeof(free_arena_header) == 56. To correct this, the type of _pad needs

Dear Trevor, I've noticed a discrepancy in the degrees of freedom reported by gam() from the gam package in R vs. gam() in S-PLUS. The nonparametric df differ by 1; otherwise (except for things that depend upon the df), the output is the same: --------- snip ------------ *** From R (gam version 0.93): > mod.gam <- gam(prestige ~ lo(income, span=.6), data=Prestige) >

Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?... Nom : non disponible URL : <https://stat.ethz.ch/pipermail/r-help/attachments/20111212/239c1cbe/attachment.pl>

A friend and I mirror our music collections on each other's servers; between the two of us we have several hundred gigs of flac files. My friend runs Linux, I run FreeBSD. Recently we started playing with flac-1.1.4 (we had been using flac-1.1.2 previously) and I noticed something strange. flac-1.1.4, run with identical options on identical files, produces different output on the linux

Dear Members, Greetings! I have come across a discrepancy shown by R and SAS results on same data for logistics regression.. When I processed the above csv file(1000.csv) for predicting the Action (i/c) by Age Group(1-7,Na) and Gender(M,F,Na) with GLM of R I get: R result Call: glm(formula = Action ~ Gender + AgeGroup, family = binomial, data = mydata1, na.action = na.pass) Deviance

Install the gmp package, run your code, and then try this: bu <- gmp::as.bigq(u) bs4 <- bu[1] + bu[2] + bu[3] + bu[4] + bu[5] s4 <- as.double(bs4) s1 - s4 ## [1] 0 s2[[2]] - s4 ## [1] 7.105427e-15 s3 - s4 ## [1] 7.105427e-15 identical(s1, s4) ## [1] TRUE `bs4` is the exact sum of the binary rationals in your `u` vector; `s4` is the closest double precision to this exact sum.