similar to: swapping database mid replication

Suppose that I'm indexing on a database foo, and I'm replicating it to another database bar using xapian-replicate. If I compact foo and produce foo2, can I safely use xapian-replicate on foo2 to bar? The version in question is 1.2.4. Thanks, Wes -- http://www.s7labs.com

Hello all! I am once again analyzing patient survival data with chronic liver disease. The severity of the liver disease is given by a number which is continuously variable. I have referred to this number as "meld"--model for end stage liver disease--which is the result of a mathematical calculation on underlying laboratory values. So, for example, I can generate a Kaplan-Meier plot

I've written a little Xapian tutorial using Python that indexes tweets. It's hopefully useful to anybody trying to figure out how it all works in Python (actually, how it all works in general). Please let me know if I've made any mistakes, and comments are always welcome. http://www.s7labs.com/learn/xaptut/ Wes -- http://www.s7labs.com

On rare occasions I want to run a remote X command (like 'meld' to interactively merge changes in files) and normally 'ssh -Y remote_host' from a terminal in an NX/freenx window that is acting as my desktop to start and any X program subsequently started would open in a new window via X-forwarding - at least when the target is a 5.x host. I don't do it often enough to remember

Is there a mechanism or technique to allow me to boost document relevancy, independent of search terms? I do not necessarily want to do any of the sorts described here: http://xapian.org/docs/sorting.html#sorting-by-value. Rather I'd like to sort by something like relevancy*boost factor, like: http://lucene.apache.org/java/2_3_2/api/org/apache/lucene/document/Document.html#setBoost(float)

Hi,   A question on something which normally should be easy !   I perform a linear regression using lm function:   > reg1 <- lm (a b+c+d, data = database1)   Then I try to perform the Chow (1960) test (structural change test) on my regression. I know the breakpoint date. I try the following code like it is described in the “Examples” section of the “strucchange” package :   > sctest(reg1,

Hi there, Regarding the calling card system, I would like to know what software tools are suitable to write the CDR system? 1) Perl (but what kind of database should be used?) 2) PHP + MySQL 3) or others suggestion? Also, which one is easier to access AGI? Any source and information would be appreciated. Best regards, Max Chow -------------- next part --------------

Hello zfs-discuss, I''m writing a script to do automatically snapshots and destroy old one. I think it would be great to add to zfs destroy another option so only snapshots can be destroyed. Something like: zfs destroy -s SNAPSHOT so if something other than snapshot is provided as an argument zfs destroy wouldn''t actually destroy it. That way it would

Hello R-users! I tried to find a package to run a CHOW TEST. As a reference package I found the STRUCCHANGE package. Do you know if it works well otherwise can you recommend a different one? Thanks, Bernd -- View this message in context: http://www.nabble.com/Chow-Test-tf3878416.html#a10990270 Sent from the R help mailing list archive at Nabble.com.

I read (some) docs got my CD set to r: with unhide set and ran setup on a couple of CD's and it went well... Wacko? If there is a file that errors are written to I could check that. But the screens kind of went in to a "Vulcan mind meld" so it was hard to tell what was going on. But It didn't crash the machine, I'm using Fedora 2. Is there an installer I should be using

I always bump into a few (very minor) problems when building model matrices with e.g.: train = model.matrix(label~., read.csv('train.csv')) target = model.matrix(label~., read.csv('target.csv')) (1) The two may have different factor levels, yielding different matrices. I usually first rbind the data frames together to "meld" the factors, and then split them apart and

Hi, I have a set of locations defined by longitude and latitude (in degrees), and want to calculate the spatial (or geographic) distance among all locations. I did not find such a function in the spatial-related packages. (I *cannot* use 'dist', as I have geographic, not cartesian coordinates). thanks! Robert Robert Ptacnik Norwegian Institute for Water Research (NIVA) Gaustadall?en 21

Hei, I have two spatial datasets Sa and Sb, both with lat-lon coordinates and from same geographic area, but from different localities within the area (independent samples). Sa is biotoc data, Sb is some environmental parameter (fertility). I 'know' that Sb affects Sa, but wonder on which scale. I tried different interpolations by creating different grids of Sb (e.g. 20x20 and 100x100

Hei Group, I want to compare the relative importance of predictors in a multiple linear regression y~a+bx1+cx2... However, bptest indicates heteroskedasticity of my model. I therefore perform a robust regression (rlm), in combination with bootstrapping (as outlined in J. Fox, Bootstrapping Regression Models). Now I want to compare the relative importance of my predictors. Can I rely on the

Dear all, I'm running a coxph model of the form: coxph(Surv(Start, End, Death.ID) ~ x1 + x2 + a1 + a2 + a3) Within this model, I would like to compare the influence of x1 and x2 on the hazard rate. Specifically I am interested in testing whether the estimated coefficient for x1 is equal (or not) to the estimated coefficient for x2. I was thinking of using a Chow-test for this but the Chow

Hello friends and fellow R users, I have successfully tabulated and entered my survival data into R and have generated survival curves. But I would like to be able to determine what the survival rates are now at one month, three months, six months and one year. I have a data set, via.wall, which I have entered into R, and which generates the following Surv object: Surv(Days,Status==1) [1]

I'm just starting to dive into llvm, hoping to implement a good graph coloring register allocator. I gather that this has been discussed before. What is the RegAllocGraphColoring.cpp currently in the sources? It seems to be the Fred Chow algorithm but it's not mentioned in the documentation anywhere. Does it work? -Dave

Hi, I've got an HP ZBook with C6.5 and KDE. Yesterday I was able to play music, today I can't get any sound out of my pc. lspci -v 00:1b.0 Audio device: Intel Corporation 8 Series/C220 Series Chipset High Definition Audio Controller (rev 04) Subsystem: Hewlett-Packard Company Device 1909 Flags: bus master, fast devsel, latency 0, IRQ 34 Memory at cca30000 (64-bit, non-prefetchable)

Dear R-helpers, I have been trying to carry out some variance ratio tests such as Lo-MacKinlay test and Chow-Denning test. However, When I write the function LM <- Lo.Mac(y,kvec) or any other functions I don’t get the results displayed. The only sign I get is < I don’t understand what’s wrong (is it the package, misspecification of the function, Vista). I am really stuck in and I would be

Hi group, I have this type of data x(predictor), y(response), factor (grouping x into many groups, with 6-20 obs/group) I want to fit a linear regression with one common intercept. 'factor' should only modify the slopes, not the intercept. The intercept is expected to be >0. If I use y~ x + factor, I get a different intercept for each factor level, but one slope only if I use y~ x *