similar to: why not link devices with --link-dest option?

(I'm not sending this to dirvish@pegasus because I think that this message applies more to rsync's --link-dest option than to just dirvish.) I recently noticed a huge spike in dirvish network usage and traced it to files whose permissions had been changed. (with rsync v2.5.6) I understand and agree that a --link-dest copy of a source file cannot be hardlinked to, but couldn't a

I am trying to use rsync for making snapshots, sharing hardlinks at the destination using the --link-dest option. In conjunction with this, I would like for --dry-run to report some reliable-ish number for how much space it is going to consume at the destination so that I can arrange to free such space prior the launching rsync "for effect". Right now, that isn't working: #

Hi! It's me again with another --link-dest issue: I am using dirvish (www.dirvish.org) to create daily backup on disk images. dirvish is using rsync with --link-dest pointing to the last good image. This creates images with hardlinks to unmodified files. So far so good. Now I want to create a "current" filetree with hardlinks pointing to the last image. rsync -vaH --delete

I've got a problem for which the combination of -R and --link-dest doesn't seem to be quite enough---and I may have discovered a few small bugs as well; test cases are below. [And if someone has a scheme for doing this that doesn't involve rsync at all, but works okay, I'm all ears as well---I'm not the first with this problem.] Here's my problem: I unfortunately need to

https://bugzilla.samba.org/show_bug.cgi?id=4079 Summary: rsync fails with --inplace, --link-dest and --no-whole- file Product: rsync Version: 2.6.8 Platform: x86 OS/Version: Linux Status: NEW Severity: major Priority: P3 Component: core AssignedTo: wayned@samba.org

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I am looking for a simple backup program that I can use to backup a CentOS box to a local tape drive. Hopefully someone here can give me a recommendation. This is what I need: - Simple launching of manual backups (preferably from the command line) - Ability to span tapes for a large backup - Proper treatment of hardlinked files - Notification via email or similar when it is

I'd like to generate some plots like you'd see on the old "normal probability graph paper", like the first plot in: <http://www.itl.nist.gov/div898/handbook/eda/section3/normprpl.htm> except the horizontal scale would have 1%, 5%, 25%, 50%, 75%, 95%, 99%, or similar quantiles, with associated tick/grid lines. [still hunting around for a good example...] something like

I am writing some R code that generates some figures. I am primarily developing on GNU/Linux, but will ultimately run the code on Windows in order to get WMF files I can integrate in an existing document. The win.metafile() function, of course, doesn't exist in the GNU/Linux version of R. I am contemplating writing an abstraction layer that runs the right thing, but I need to know how the

I am getting ready to load a bunch of data into R. The data is all numeric, but some of the numbers are integer codes representing non-numeric semantics. What is the best way to "fix" the data frames so that these compenents are recognized as "factors" or "ordered", as appropriate? Can I "assign" to some attribute of the data frame component, like the

I am writing a little abstraction for a series of tests. For example, I am running an anova and kruskal.test on a one-factor model. That isn't a particular problem, I have an interface like: my.function <- function(model,data) { print(deparse(substitute(data))) a <- anova(lm(formula,data)) print(a) if(a$"Pr(>F)"[1] < 0.05) { pairwise.t.test(???) }

I am generating some graphs (on GNU/Linux using R 1.5.x) for a PowerPoint presentation my boss is giving next week. He just tried cut/pasted a plot off of a PDF file I had created, but he complained that the fonts were too small and fuzzy, and that he couldn't change the background. I have been playing with png(bg=transparent), but I am not sure what appropriate height,width parameters and

https://bugzilla.samba.org/show_bug.cgi?id=3175 ------- Additional Comments From foner-rsync-bugzilla@media.mit.edu 2005-10-17 04:36 ------- Created an attachment (id=1518) --> (https://bugzilla.samba.org/attachment.cgi?id=1518&action=view) Transcript of unsuccessful attempts I have other transcripts with me experimenting with all four possibilities of trailing or no trailing slash

I've got a data frame that looks like this: subject foo bar 2 1.7 3.2 2 2.3 4.1 3 7.6 2.3 3 7.1 3.3 3 7.3 2.3 3 7.4 1.3 5 6.2 6.1 5 3.4 6.9 ... That is, I've got multiple rows per subject. I need to compute summaries within categories where the subject has the same number

I've got a set of data that are weighted by a largish integer (ranging from about 50K to 1.5 million). I'd like to plot CDF's for this data taking into account the weighting. What do you recommend? Thanks! -- Russell Senior ``The two chiefs turned to each other. seniorr at aracnet.com Bellison uncorked a flood of horrible

Suppose I have a set of binned data, counts exceeding a series of arbitrary thresholds, a total N, a minimum and maximum, those sorts of things. Is there a "standard" method for estimating arbitrary quantiles from this? My initial thought is that the counts and min/max give me solutions at various points along the empirical cdf. As the data are roughly log-normal, I thought maybe I

I am interested in making a random sample from a uniform distribution of points over the surface of the earth, using the WGS84 ellipsoid as a model for the earth. I know how to do this for a sphere, but would like to do better. I can supply random numbers, want latitude longitude pairs out. Can anyone point me at a solution? Thanks very much. -- Russell Senior ``I have nine fingers;

Given a set of data: > names(data) [1] "city" "house" "visit" "value" I am looking for a way to compute the variance components of the nested model (ie, visit 1 at house 2 at city 3 isn't related to visit 1 and house 2 at city 4), but different houses in the same city may be related, and different visits to the same house are probably

I"ve got a data frame with a selection of columns I want to compute a rank-order correlation matrix from without disturbing the original data frame. foo[,c("a","b","d","f","g")] What I wanted to do, intuitively, was: > cor(rank(foo[,c("a","b","d","f","g")])) but rank in that context

https://bugzilla.samba.org/show_bug.cgi?id=3186 Summary: Surprisingly large unshared memory usage Product: rsync Version: 2.6.7 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy: