similar to: Newbie: where to put input validation and model aggregations

I''ve been trying to use Rails on a database where the biggest datawarehouse-style table doesn''t have a primary key. It really doesn''t make sense and just adds extra unnecessary space. I do have, however, a column that I normally use to search on (IP) that returns many rows. The table also references several other tables through rails-friendly foreign keys. Simple AR

https://bugzilla.samba.org/show_bug.cgi?id=9995 Summary: Rsync 3.1 dev : Product: rsync Version: 3.1.0 Platform: x64 OS/Version: Linux Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: dochitoai.vu at ladhyx.polytechnique.fr

This is for Rails 3.1.1 I have a field called last_seen in a model. This field will be updated when the something about the record is seen in the real world (don''t worry about this part) So I go x.update_attribute(:last_seen, Time.now) and the following happens is UPDATE "blah" SET "last_seen" = ''2012-10-23 08:57:46.179288'', "updated_at"

> So what addIntervalsToSpills returns are new intervals to allocate with > infinite weights, right? > And I need not to allocate the old interval. Should hasStackSlot return true > on its register then? > I am not very sure about addIntervalsToSpill, but, for all the registers created to replace a spilled registers, they must have a stack slot assigned to them. I am sending you my

Hi all, when i run this script: >read.table("Angelika.txt",header=T,sep="\t") >mytable=read.table("Angelika.txt",header=T,sep="\t") >for ( dye in c("A","B","C","F","G","K","L","M")) + { + for (cond in 1:8) + { + measurement =

Hi, I have this problem (R 1.2.2 on Pentium, OS WinNT4 SP6) : mytable is a 3D (n*p*2) table of non-negative "integers". There is a need to do n times chisq.test (rbind(mytable[i,,1], mytable[i,,2])) #on p*2 tables Columns with zero value in the first row should be omitted, for example chisq.test (rbind(mytable[i,-c(3,4,6),1], mytable[i,-c(3,4,6),2])) #for i-th table with zero

Kai, Apologies for the double message, it didn't go to the list last time. On Thu, Oct 22, 2015 at 9:59 AM, Kai Nitschke < kai.nitschke at uniklinik-freiburg.de> wrote: > > ?.Call? calls the C/C++ function ?C_LogLin?. But when I am running it line > by line I get > the following error on line 23/24: > Error: object 'C_LogLin' not found > > Hence, my

Hi everyone, I have a question regarding a C function of the "stats" package in R. I tried to understand the ?loglin? basic function of the ?stats? package implemented in R. The implemented function itself runs without any problem (perhaps see sample). When I ran it line by line it stopped at the lines 23-24 of the loglin-function; (the following line): z <- .Call(C_LogLin,

Using the brand-spanking new map.resources for REST goodness, is there a way to pass in additional parameters, or do I have to go back to standard routes. For example, is there a way to use the map.resources to response to urls like: /blog/2005/02/03/ => :controller => :blog, :action => :show, :year => 2005, :month => ''02'', :day => ''03''

Hi all, I've been playing with ROracle (0.5-9) for a few days and I can't wrap my mind around this one. Here's a sample of my R (2.4.0) session. my.df<-data.frame(prd_id=c(123,456),vol_factor=c(.123,.456)) > my.df prd_id vol_factor 1 123 0.123 2 456 0.456 > library(ROracle) Loading required package: DBI >

Thank you for help with the first part. The second part I do not understand. All I get is "3" "3". Presumably this is the factor that you refer to. Is there no simple way of extracting the text alone ----- Forwarded Message ---- From: Peter Alspach <PAlspach@hortresearch.co.nz> To: Jabez Wilson <jabezwuk@yahoo.co.uk> Sent: Tuesday, 7 November, 2006 7:46:02 PM

Dear R-Helpers, I've looked high and low for a function that provides frequencies, proportions and cumulative proportions side-by-side. Below is the table I need. Is there a function that already does it? Thanks, Bob > # Generate some test scores > myValues <- c(70:95) > Score <- ( sample( myValues, size=1000, replace=TRUE) ) > head(Score) [1] 77 71 81 88 83 93 > >

To remember all dtrace actions, aggregations and variables is a headache, even worse, they are not include in dtrace(1M) now. So here is a chance to have a CLI RFE - to have something like "dtrace --actions", which will list all actions, like this page: http://developers.sun.com/solaris/articles/dtrace_quickref/dtrace_functions.html "dtrace --aggregations", lists all

I'm not sure about one thing: you assign stack slot to each new register you replace the spilled one with. And then you need to allocate physical registers to them. Is it possible to assign physical register to the virtual one which has a stack slot already? On 8/21/06, Fernando Magno Quintao Pereira <fernando at cs.ucla.edu> wrote: > > > > So what addIntervalsToSpills

Yes, I am a newbie. I have a data.frame (MyTable) of 1445846 rows and 15 columns with character data. And a character vector (MyVector) of 473491 elements. I want simply to get a data.frame with the count of how many times each element of MyVector appears in MyTable. I've tried a loop with : for (i in 1 : length (myvector)) sum (MyTable== i) but it crashes my computer. I've also

I feel this is a very easy thing but I've never done it before and it is getting frustrating. I have a big data.frame (1445846 rows, 15 col) that looks like this: V1 V2 V3 V4 V5 1 home sister brother chair 0 2 cat dog animal 0 0 3 girl boy 0

I've noticed that RODBC seems to be an order of magnitude slower in retrieving rows from a table than ODBC (or JDBC) access in other tools. I'm wondering why that is, and whether there are things I can do to improve performance beyond what I've tried. I've checked the documentation, and have tried the rows_at_time= and buffsize= options, which helped a little, but it is still

Given a set of integers of different values how do I calculate the minimum number of the largest of integers that are required, when summed, to equal 50% of the total sum of the the set? For example, > length(myTable$lgth) [1] 303403 > sum(myTable$lgth) [1] 4735396 I know through brute force that the N50 of the following set is 42 but I don't know how to solve this without iteration

Hello, Let's assume I have a vector of integers : > myvector <- c(1, 2, 3, 2, 1, 3, 5) My purpose is to obtain the cumulative distribution of these numerical data, i.e. something like : value nb_occur. <=1 2 <=2 4 <=3 6 <=4 6 <=5 7 For this, I create a table with ; > mytable <- table(myvector) 1 2 3 5 2 2 2 1 However, table() returns an array

I have created a function to do something: i <- factor(sample(c("A", "B", "C", NA), 793, rep=T, prob=c(8, 7, 5, 1))) k <- factor(sample(c("X", "Y", "Z", NA), 793, rep=T, prob=c(12, 7, 9, 1))) mytable <- function(x){ xtb <- x btx <- x # do more with x, not relevant here cat("The table has been created,