similar to: how can i compute the average of three blocks for each column ?

Displaying 20 results from an estimated 200 matches similar to: "how can i compute the average of three blocks for each column ?"

2014 Jun 07
3
[LLVMdev] Load/Store Instruction Error
Hi all, I started to write an LLVM backend for custom CPU. I created XXXInstrInfo but there are some problems. I searched for it but I couldn't find anything. Can anyone help me? include "XXXInstrFormats.td" def simm16 : Operand<i32> { let DecoderMethod = "DecodeSimm16"; } def mem : Operand<i32> { let PrintMethod = "printMemOperand"; let
2003 May 08
1
A problem in a glm model
Hallo all, I have the following glm model: f1 <- as.formula(paste("factor(y.fondi)~", "flgsess + segmeta2 + udm + zona.geo + ultimo.prod.", "+flg.a2 + flg.d.na2 + flg.v2 + flg.cc2", " +(flg.a1 + flg.d.na1 + flg.v1 + flg.cc1)^2", " + flg.a2:flg.d.na2 + flg.a2:flg.v2 +
2008 Jun 12
1
About Mcneil Hanley test for a portion of AUC!
Dear all I am trying to compare the performances of several methods using the AUC0.1 and not the whole AUC. (meaning I wanted to compare to AUC's whose x axis only goes to 0.1 not 1) I came to know about the Mcneil Hanley test from Bernardo Rangel Tura and I referred to the original paper for the calculation of "r" which is an argument of the function cROC. I can only find the
2006 Mar 15
1
How to compare areas under ROC curves calculated with ROCR package
Dear all, I try to compare the performances of several parameters to diagnose lameness in dogs. I have several ROC curves from the same dataset. I plotted the ROC curves and calculated AUC with the ROCR package. I would like to compare the AUC. I used the following program I found on R-help archives : From: Bernardo Rangel Tura Date: Thu 16 Dec 2004 - 07:30:37 EST
2006 Mar 20
1
How to compare areas under ROC curves calculated with ROC R package
I might be missing something but I thought that AUC was a measure for comparing ROC curves, so there is nothing else needed to "compare" them. The larger AUC is the higher correlation of 2 variables compared. No other measures or calculations are needed. Jarek Tuszynski -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On
2006 May 04
2
do.call in 2.3.0 vers 2.3.x
Dear R-Core, after switching to 2.3.0, all my trusted do.call constructs that worked in 2.2 and earlier fail. I noted that changes were introduced to do.call, but I could not find out how these relate to my problem. The following example works in 2.2 and earlier, but fails because rownames are partially NA. I can correct this by manually adding row names, but it's a bit of work to check this
2004 Dec 15
3
(no subject)
Dear R-helper, I would like to compare the AUC of two logistic regression models (same population). Is it possible with R ? Thank you Roman Rouzier [[alternative HTML version deleted]]
2010 May 05
3
concatenate values of two columns
Dear list, I'm trying to concatenate the values of two columns but im not able to do it: i have a dataframe with the following two columns: X VAR1 VAR2 1 2 2 1 3 2 4 3 5 4 6 4 what i would like to
2008 Aug 22
0
Re : Help on competing risk package cmprsk with time dependent covariate
Hello again, I m trying to use timereg package as you suggested (R2.7.1 on XP Pro). here is my script based on the example from timereg for a fine & gray model in which relt = time to event, rels = status 0/1/2 2=competing, 1=event of interest, 0=censored random = covariate I want to test library(timereg) rel<-read.csv("relapse2.csv", header = TRUE, sep = ",",
2009 Oct 28
1
need help explain the routine input parameters for seROC and cROC found in the R archive
Please help. I found the code in the archive. The author of this script says: "The first function (seROC) calculate the standard error of ROC curve, the second function (cROC) compare ROC curves." Can some one explain to me what are the na, nn and r parameters which are used as the input to the following two functions? Thanks much in advance. > From: Bernardo Rangel Tura >
2006 May 03
1
Vector searching and counting speed optimization
R-users, I'm seeking any suggestions on optimizing some code for speed. Here's the setup: the code below is part of a larger chunk that is calculating Fst values across loci and alleles. This chunk is designed to calculate the proportion ('p.a') of an allele ('a') at a locus in each population ('p') and the proportion of individuals heterozygous for that
2002 Apr 30
3
rbind'ing empty rows in dataframes in 1.4.1 versus 1.5.0
Hi, In 1.4.1, I was able to create extra "empty" rows in a dataframe as so: > x <- data.frame(a = letters[1:3], b = 1:3) > x a b 1 a 1 2 b 2 3 c 3 > x[4,] a b NA NA NA > rbind(x, x[4,]) a b 1 a 1 2 b 2 3 c 3 NA NA NA > R.version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6
2013 Jun 17
0
[PATCH] Btrfs: optimize reada_for_balance
This patch does two things. First we no longer explicitly read in the blocks we''re trying to readahead. For things like balance_level we may never actually use the blocks so this just adds uneeded latency, and balance_level and split_node will both read in the blocks they care about explicitly so if the blocks need to be waited on it will be done there. Secondly we no longer drop the
2005 Mar 23
4
Vonage Linksys Router - Life after Vonage
I setup a vonage account last year, and cancelled it last night when I put my asterisk box together and signed up for a Broadvoice account to use with it. Now I would like to use my Linksys router as an MTA, but realize it is still programmed with all of vonage's proprietary information and I do not know how to clear it. I understand that just pushing the reset button will not do it.
2002 Sep 11
0
Contrasts with interactions
Dear All, I'm not sure of the interpretation of interactions with contrasts. Can anyone help? I do an ANCOVA, dryweight is covariate, block and treatment are factors, c4 the response variable. model<-aov(log(c4+1)~dryweight+treatment+block+treatment:block) summary(model); Df Sum Sq Mean Sq F value Pr(>F) dryweight 1 3.947 3.947 6.6268 0.01076 *
2016 Jun 09
2
[RFC] LLVM Coroutines
On Thu, Jun 9, 2016 at 1:49 PM, Eli Friedman <eli.friedman at gmail.com> wrote: >> Right... but that doesn't mean the call to the suspend intrinsic has to be >> the last non-terminator instruction in the basic block before you run >> CoroSplit. You can split the basic block in CoroSplit so any instructions >> after the suspend call are part of a different basic
2000 Feb 18
0
Different Domain Login.
Well, I haven't received anything from the LIST as far as replys yet.. but I went through the source code and added what I needed. If you know which list is better to submit these changes to let me know. I added a option in the smb.conf: Default Authenticaion Domain What it does is if you have that option specified, it will do a comparision to see if the Domain specified by the user is the
2000 Feb 18
0
Different Domain Login. UPDATED
UPDATED: Sorry, I didn't specify, my diffs are based off the samba-2.0.6.tar.gz (end of update) ---- Well, I haven't received anything from the LIST as far as replys yet.. but I went through the source code and added what I needed. If you know which list is better to submit these changes to let me know. I added a option in the smb.conf: Default Authenticaion Domain What it does is if
2009 Feb 23
1
Interleave or not
Lets say you had 4 servers and you wanted to setup replicate and distribute. What methoid would be better: server sdb1 xen0 brick0 xen1 mirror0 xen2 brick1 xen3 mirror1 replicate block0 - brick0 mirror0 replicate block1 - brick1 mirror1 distribute unify - block0 block1 or server sdb1 sdb2 xen0 brick0 mirror3 xen1 brick1 mirror0 xen2 brick2 mirror1 xen3 brick3 mirror2 replicate block0 -
2016 Jun 10
2
[RFC] LLVM Coroutines
Hi Eli: >> semantics of the fork intrinsic... thinking about it a bit more, I think >> you're going to run into problems with trying to keep around a return block >> through optimizations: How about this? Make all control flow explicit (duh). declare i8 coro.suspend([...]) returns: 0 - resume 1 - cleanup anything else - suspend Now we can get