search for: constitues

I would like to reformat this data frame into something that I can produce some descriptive statistics. I have been playing around with the reshape package and maybe this is not the best way to proceed. I would like to use RiverMile and constituent as the grouping variables to get the summary statistics: 198a 198b mean mean sd sd ... ... etc. for all of these. I have tried

On Tue, Dec 30, 2008 at 8:59 PM, Scott Michel <scottm at aero.org> wrote: > On Dec 30, 2008, at 5:47 PM, Chris Lattner wrote: >> >> On Dec 30, 2008, at 5:24 PM, Scott Michel wrote: >> >>> Chris: >>> >>> On my _local_ x86_64 Ubuntu 7.10 machine, the shift_ops.ll is an >>> unexpected success (i.e., "grep -w shlh %t1.s | count

I've attached the .s file it produces in case you want to file a bug against grep. On Tue, Dec 30, 2008 at 10:36 PM, Daniel Berlin <dberlin at dberlin.org> wrote: > On Tue, Dec 30, 2008 at 8:59 PM, Scott Michel <scottm at aero.org> wrote: >> On Dec 30, 2008, at 5:47 PM, Chris Lattner wrote: >>> >>> On Dec 30, 2008, at 5:24 PM, Scott Michel wrote:

Tim Northover <t.p.northover at gmail.com> writes: >> Can anyone explain why LLVM can't do it? I've read vague hints of, "not >> all the information is there," but I'd really like to understand this >> better. > > The most compelling example I've heard is the x86_64 ABI. It refers to > POD types, unions and structs with non-aligned

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 have read a large dataset into a dataframe using RODBC, the rows of data in the dataframe are (integer) timestamped and I would like to divide the original dataframe into n smaller dataframes where dataframe 1 contains all rows that had timestamps falling in the period 0-x1 minutes, dataframe 2 contains all rows that had timestamps falling between x1+1 and x2, etc.. Does anyone know how to

I'm doing these manipulations on the data frame and wondering why does R have to remember historical data on my operation and not just keep the needed info. Probably a basic fundamentals of the way R handles data .. Pls point me to the manual if possible .. I have this Index data: > head(NIFTY_INDX) Constituents.list.of.S.P.CNX.Nifty X X.1 X.2 X.3

>> At a purely implementation level, the first problem at the moment is >> that IR-level types are discarded by the time call lowering happens. >> Structures are split up into their constituent fields and those are >> all a backend has available for its decisions. > > When you say, "Structures are split up into their constituent fields," > what do you

Hi All, I'm trying to download data using following code. require(UsingR) ## This is the R-package you need to run command yahoo.get.hist.quote #Initialize empty table closing <-NULL #Downalod consituents since I don't have it on my comp download.file("http://www2.standardandpoors.com/spf/csv/index/sp500.csv", "Z:/BETA PROJECT/DATA DOWNLOAD FROM

f <- (structure(list(X = structure(96:97, .Label = c("119DAmm", "119DN", "119DNN", "119DO", "119DOC", "119Flow", "119Nit", "119ON", "119OPhos", "119OrgP", "119Phos", "119TKN", "119TOC", "148DAmm", "148DN", "148DNN", "148DO",

On Dec 30, 2008, at 5:47 PM, Chris Lattner wrote: > > On Dec 30, 2008, at 5:24 PM, Scott Michel wrote: > >> Chris: >> >> On my _local_ x86_64 Ubuntu 7.10 machine, the shift_ops.ll is an >> unexpected success (i.e., "grep -w shlh %t1.s | count 9" succeeds.) >> >> I get the same unexpected success on my x86_64 Mac 10.4.11. >> >> On

On Dec 30, 2008, at 5:24 PM, Scott Michel wrote: > Chris: > > On my _local_ x86_64 Ubuntu 7.10 machine, the shift_ops.ll is an > unexpected success (i.e., "grep -w shlh %t1.s | count 9" succeeds.) > > I get the same unexpected success on my x86_64 Mac 10.4.11. > > On the x86_64 buildbot, the same test fails. The culprit is grep, > evidently. It's just

Dear friends: I'm interested to make a stacked plot of cumulative incidence. that's, the cuminc model is fitted [fit=cuminc(time, relapse)] and cumulative incidence is in place. I'd like to stack the cuminc plots (relapse of luekemia and death free from leukemia, for example) , then the constituent ratio of leukemia relapse and treatment related mortality is very clear. Can

I have a question concerning the Wilcoxon signed-rank test, and specifically, which R subroutine I should use for my particular dataset. There are three different commands in R (that I'm aware of) that calculate the Wilcoxon signed-rank test; wilcox.test, wilcox.exact, and wilcoxsign_test. When I run the three commands on the same dataset, I get different p-values. I'm hoping that

QUESTION: is there a way to make objects (e.g. data frames) read-only? BACKGROUND: I am writing some functions that use a data frame (frequencies of tidal constituents) that I want to be read-only. I can see how to accomplish this within a single function (just define the data in the function), but I'm not sure how to share read-only values between (un-nested) functions. Is there a more

Hello users, I've noticed a problem when creating a stacked column plot when a column contains a negative and a positive value. e.g. series1<-c(-1,-2, 3, 4, 5) series2<-c( 5, -4,-3,-2, 1) data<-rbind(series1,series2) barplot(as.matrix(data), beside=FALSE) In these cases (i.e. first, third and fifth columns) the plotting is not handled correctly. Compare this output with that

Hi I'd like users to be able to install the LLVM major modes from MELPA[1], the most popular Emacs package repository. However, these files are not well-formed packages. I've made the following changes: * Both files have valid package headers and footers (you can verify with M-x checkdoc). * Fixed style warnings generated by checkdoc. * Fixed a byte-compiler warning in llvm-mode.el. *

> > Now the problem is obvious.  A two dimensional array access is being > performed by a single instruction.  The arithmetic needed to address > the element is implicit, and therefore inaccessible to optimizations.  > The redundant calculations can not be eliminated, nor can strength > reduction be performed.  getelementptr needs to be broken down into > its constituent

Hi Hal, > Can anyone explain why LLVM can't do it? I've read vague hints of, "not > all the information is there," but I'd really like to understand this > better. The most compelling example I've heard is the x86_64 ABI. It refers to POD types, unions and structs with non-aligned fields. I think POD is a red herring because Clang would have to deal with that

We all know that LLVM codegen doesn't handle struct arguments...er...at all. Frontend code has to do a bunch of ABI lowering to make it work. Can anyone explain why LLVM can't do it? I've read vague hints of, "not all the information is there," but I'd really like to understand this better. Is there something we can do to make proper argument handling possible within