search for: threshing

Here's a patch that should make predict.glm(..., type="response") retain the names. The change passes make check on our Opteron running SLES9. One simple test is: names(predict(glm(y ~ x, family=binomial, data=data.frame(y=c(1, 0, 1, 0), x=c(1, 1, 0, 0))), newdata=data.frame(x=c(0, 0.5, 1)), type="response")) which gives [1]

Hi: I have encountered problems with imodwt and universal.thresh.modwt and cannot find any reference in R Search. Hope someone can give me some ideas: Starting with modwt.la8 <- modwt(xdata, "la8", n.level=6) <-- this seems to work fine (1) ydata <- imodwt(modwt.la8) will always give ydata as numeric(0) (no values) instead of being a time series data with

Dear all, I get a strange error when I find polychoric correlations with the ML method, which I have been able to reproduce using randomly-generated data. What is wrong? I realize that the data that I generated randomly is a bit strange, but it is the only way that I duplicate the error message. > n<-100 > test.x<-rnorm(n, mean=0, sd=1) > test.c<-test.x + rnorm(n, mean=0,

I noticed that btrfs fi defrag -c<method> can''t be used to compress files unless they are fragmented. This patch corrects the problem, by informing should_defrag_range if compression is enabled, and skipping tests for extent and adjacent extents if it is. Andrew Mahone (1): btrfs: ignore unfragmented file checks in defrag when compression enabled fs/btrfs/ioctl.c | 10

Airon, I don't think you have to find an English computer 'cause the following must work in your Chinese one :-) Let me explain. First of all, change your lines to xdata <- ckhdat$Adj..Close[1:1447] #names(ckhdwt.la8) <- c("w1", "w2", "w3", "w4", "w5","w6", "v6") note the # sign, i.e., DO NOT change the names

On Fri, 07 Jan 2005 17:05:59 +0000 David Woodhouse <dwmw2@infradead.org> wrote: > On Sat, 2004-12-18 at 08:50 +0100, Andi Kleen wrote: > > It's not really an oops, just a warning that stack space got quiet > > tight. > > > > The problem seems to be that the br netfilter code is nesting far too > > deeply and recursing several times. Looks like a design

Airon, I used R2.4.0 on a Windows XP (SP2) (not Chinese :-)) and it still works: > data = read.csv("u:/airon.csv") > xdata = data$Adj..Close > modwt.la8 = modwt(xdata, "la8", n.level=6) > summary(modwt.la8) Length Class Mode d1 1467 -none- numeric d2 1467 -none- numeric d3 1467 -none- numeric d4 1467 -none- numeric d5 1467 -none- numeric d6 1467

Hello all, Trying to get this piece of code to work on my data set. It is from http://www.itc.nl/personal/rossiter. logit.roc <- function(model, steps=100) { field.name <- attr(attr(terms(formula(model)), "factors"), "dimnames")[[1]][1] eval(parse(text=paste("tmp <- ", ifelse(class(model$data) == "data.frame", "model$data$",

Josef''s fs_mark test fs_mark -d /mnt/btrfs-test -D 512 -t 16 -n 4096 -F -S0 on a 2GB single metadata fs leaves about 400Mb of metadata almost unused. This patch reduces metadata chunk allocations by considering the proper metadata chunk size of 200MB in should_alloc_chunk(), not the default 256MB which is set in __btrfs_alloc_chunk(). Signed-off-by: Itaru Kitayama

hi i have gone through the achieves but still could not get my bridge to suvive a reboot . please can anyone help me am using fedora core 2 -----Original message----- From: bridge-request@lists.osdl.org Date: Fri, 28 Jan 2005 03:08:06 +0100 To: bridge@lists.osdl.org Subject: Bridge Digest, Vol 17, Issue 25 > Send Bridge mailing list submissions to > bridge@lists.osdl.org > >

Airon, I'm not sure I have understood your question. Anyway, it seems to me that you'll have to code a little. Take a look at ?modwt. I think you'll have to put zeros each scale a time except the one you want to reconstruct. Then do imodwt. After some small loop, I think you'll get the desired result. HTH, Rogerio. ---------- Cabe?alho original ----------- De: "Airon

At useR 2006 I mentioned that it would be nice to have a way to specify binomial links that involved free parameters and described some experience with a Gosset link involving a free degrees of freedom parameter, and a Tukey-lambda link with two free parameters. My implementation of this involved some rather kludgey modifications of binomial, make.link and glm that (essentially) added a

Hi, Whenever I issue this commands (as in the help for the threshold function), # # Do a 1D decomposition # tdecomp <- wd(test.data) # # Threshold it # tdecomp.thresh <- threshold(tdecomp) # # Reconstruct from the thresholded coefficients # trecons <- wr(tdecomp.thresh) # #

This deadlock comes from xfstests 251. We''ll hold the chunk_mutex throughout the whole of a chunk allocation. But if we find that we''ve used up system chunk space, we need to allocate a new system chunk, but this will lead to a recursion of chunk allocation and end up with a deadlock on chunk_mutex. So instead we need to allocate the system chunk first if we find we''re

I have a problem with Windows 2000 (SP2) printing to an Epson C60 on a Linux server (running Mandrake 8.1 and Samba 2.2.2 with Cups 1.1.12). I've scoured the net and posts on Usenet have not yielded any helpful response. I have 2 Win2k boxes and they both respond differently, but neither is printing. I've installed the printer on both boxes. On one I get a "unable to

I fit the model fit<-lm(thresh~cond*Ne) where thresh is the reponse cond is a factor with levels a, b, and c Ne is a continuous indep var I think of this full model as having three lines: thresh as a function of Ne for each condition. Thus we have slopea, slopeb, slopec, inta, intb, intc. lm output my params ------------------------- (Intercept) inta condb intb - inta condc

I am still having some difficulties with connecting R to a C++ function. I am able to call the function as expected after compiling the shared library and such. However, the call to the function is via .C; parameters from the .C call are not being passed correctly to the function. As an example, I have attached a GDB run of the code. I set a breakpoint on entry to the function I am calling

Hi, This is a second try to fix the long chain call lengths in netfilter. The difference with the previous patch is that I got rid of the extra argument. I somehow didn't see it could be done without using the 'int *ret2' argument. A comment on the number of arguments to nf_hook_slow: I don't think the number of arguments should be decreased. For the bridge-nf code, f.e., the

Hi, I'm trying to use mars function in R to interpolate nonlinear multivariate functions. However, it seems that mars gives me a fit which uses only very few basis function and it underfits very badly. For example, I have tried the following code to test mars: require("mda") f <- function(x,y) { x^2-y^2 }; #f <- function(x,y) { x+2*y }; # Grid x <-

Hi All, I'm generating 10 different data sets with 1 and 0 in a matrix form and writing the output in separate files. Now I need to stack all these data sets in one vector and I know that stack only operates on list or data frame however I got these data sets by converting list to a matrix so can't go backwards now. Is there a way i can still use Stack? Please see the program: