search for: constitu

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 reshape and aggregate and I am sure that I am missing something... below is a naive attempt at making a data frame with the columns in the correct c...

...says the following for -w: -w, --word-regexp Select only those lines containing matches that form whole words. The test is that the matching substring must either be at the beginning of the line, or preceded by a non-word constituent character. Similarly, it must be either at the end of the line or followed by a non-word constituent character. Word-constituent characters are letters, digits, and the underscore. Clearly, it does not match the ending criteria since neit...

...-w: > > -w, --word-regexp > Select only those lines containing matches that form whole > words. The test is that the matching substring must either be > at the beginning of the line, or preceded by a non-word > constituent character. Similarly, it must be either at the end > of the line or followed by a non-word constituent character. > Word-constituent characters are letters, digits, and the > underscore. > > > Clearly, it does not match the e...

...s to pick a type to represent each of the overlapping regions. Dang, I'll have to think on this more. :) > 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 mean, exactly? > But, because of the above concerns, the only properly viable solution > would probably be to reintroduce...

...b <- kruskal.test(formula,data) print(b) if ... } I want to run each test, then depending on the resulting p-value, run pairwise tests. I am getting into trouble where I put the ??? above. The pairwise.t.test has a different interface, that seems to want me to dismember the formula into constituent parts to feed in. The other alternative is to give my.function the constituent parts and let it build the model. I haven't figured out how to do either one. Can someone give me some pointers? -- Russell Senior ``I have nine fingers; you have ten.'' seniorr at aracnet.com

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

...ng 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 1 2 Company Name Industry Symbol Series ISIN Code 3 4 ACC Ltd. CEMENT AND CEMENT PRODUCTS ACC EQ INE012A01025 5 Ambuja Cemen...

>> 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 mean, exactly? By the time the backend gets to decide where arguments are going, instead of seeing a prototype...

...is 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 YAHOO/Constituents.csv", "internal", quiet = FALSE, mode = "wb",cacheOK = TRUE) constituents<-as.matrix(read.csv("Z:/BETA PROJECT/AUGUST/YEARLY WORK/MASTER Constituents.csv",header=T)) for (i in constituents[1:250,1]) { s<-yahoo.get.hist.quote(instrument = sub("\\.&...

...ctor"), RiverMile = structure(c(8L, 8L), .Label = c("119", "148", "179", "185", "190", "198", "202", "215", "61", "BC", "HC", "SC"), class = "factor"), Constituent = structure(5:6, .Label = c("DAmm", "DN", "DNN", "DO", "DOC", "Flow", "Nit", "ON", "OPhos", "OrgP", "Phos", "TKN", "TOC"), class = "factor"), X2.1.0...

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

...ds: 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 you give me some directions? Yours Ping Zhang [[alternative HTML version deleted]]

...ifferent p-values, and which one is the most appropriate for my particular needs. First, let me describe the dataset I am working with. The project I am working on collected water samples from groups/networks of about 30 water wells and analyzed them for nitrate, major ions, and other chemical constituents. We revisited those same wells about 10 years later and analyzed the water samples for the same chemical constituents. I now have a paired dataset, and the question I would like to answer is whether there was a "significant" change in concentrations of those chemical constituents...

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 elegant method than duplicating the creation of the data frame in e...

...1,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 of: barplot(as.matrix(data), beside=TRUE) Shouldn't the plots look the same except in the beside=FALSE scenario the constituent bars should not be juxtaposed but instead are one on top of the other? Thanks for any advice! Murray Richardson

...-mode-syntax-table))) - '( - ;; whitespace (` ') - [?\^m " "] - [?\f " "] - [?\n " "] - [?\t " "] - [?\ " "] - ;; word constituents (`w') - ;;[?< "w"] - ;;[?> "w"] - [?\% "w"] - ;;[?_ "w "] - ;; comments - [?\; "< "] - [?\n "> "] -...

...formed 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 operations at some point. Jeff, This is exactly right -- any multi-dimensional array indexing operations need to decomposed into a sequence of single index operations so that they can be exposed to GCSE and LICM. This transformation obscures the indexing behavior of the code, so the right...

...size at the PCS level there). > Is there something we can do to make proper argument handling > possible within LLVM? 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. But, because of the above concerns, the only properly viable solution would probably be to reintroduce union types to LLVM IR. Which is more complexity for optimisations to handle. I understand they never really worked properly...

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