similar to: split dataframe by sample()

Hi, I need to sample randomly my dataset for 1000 times. The sample need to be the 80%. I know how to do that, my problem is that not only I need the 80%, but I also need the corresponding 20% each time. Is there any way to do that? Alternatively, I was thinking to something like setdiff () function to compare my 80% sample to the original dataset and obtain the corresponding 20%, unfortunately

Hello everyone, I want make a variable selection  from a dataframe, but when I build this new object (using cbind) the new table (which is a matrix) I lost all the original factor names in the variables. I get 1,2,3.... Someone would be so kind and tell me if there's is a ny way to get variables in a dataframe, but not changing these factor to numbers? Thank you all. José [[alternative

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

Dear all, I'm having trouble with my dataframe, and I hope someone can help me out... I have data from 40 subjects, displayed in a dataframe. I have randomly assigned subjects to group 1 or 0 (mar.y==0 or mar.y==1, with probabilities used). In the end, I want 34 cases assigned to group 0, with the rest of the subjects assigned to group 1. However, if there are more than 34 cases assigned to

OK, the code for sdivrem in APInt.h is wrong. Here's what's written: static void sdivrem(const APInt &LHS, const APInt &RHS, APInt &Quotient, APInt &Remainder) { if (LHS.isNegative()) { if (RHS.isNegative()) APInt::udivrem(-LHS, -RHS, Quotient, Remainder); else APInt::udivrem(-LHS, RHS, Quotient, Remainder); Quotient =

I would like to announce the availability of compiler support for generation of transactional code in LLVM IR. Our tool is called Tanger and it is an LLVM pass. You can download Tanger at: http://tinystm.org Transactional memory (TM) is viewed by a lot of people to be an important tool for enabling parallelism in a wide area of applications, and especially for developers that are not skilled

>it cannot afford large size masks for large vectors So, even a standard way of vectorizing remainder in masked or unmasked fashion wouldn’t work, I suppose. Ouch. I suppose VPlan should be able to model this kind of gigantic remainder vector code (when the time comes). Not pretty at all, though. Now, be fully aware that Direction #2 is really a poor (or rather extremely poor) person’s

Hi Hameeza, Aside from Ashutosh's patch..... When the vector width is that large, we can't keep vectorizing remainder like below. It'll be a huge code size if nothing else ---- hitting ITLB miss because of this is very bad, for example. VF=2048 // main vector loop VF=1024 // vectorized remainder 1 VF=512 // vectorized remainder 2 ... Vectorize remainder until trip count is

I need help in subseting a dataframe: data1<-data.frame(year=c(2001,2002,2003,2004,2001,2002,2003,2004, 2001,2002,2003,2004,2001,2002,2003,2004), firm=c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4),x=c(11,22,-32,25,-26,47,85,98, 101,14,87,56,12,43,67,54), y=c(110,220,302,250,260,470,850,980,1010,140,870,560,120,430,670,540)) data1 I want to keep the firms where all x>0 (where there are

What are the correct target description side effect flags for instructions which may trap (e.g. divide / remainder)? The divide instruction in my backend currently has no flags set. I've enabled the MachineLICM pass and it's causing a miscompilation by hoisting a divide by zero instruction out of the loop. Clearly this pass needs to be made aware that this is not safe. The current

Hi, I have a dataset X Y A= 10 15 20 30 40 50 B = X Z 10 30 20 50 I have a table containing X Y Z columns How to insert a data frame into the table without using for loop ? now currently i'm using the for loop with using the insert command? ----- Thanks in Advance Arun -- View this message in

I'm happy to say that LLVM has 6 projects approved for Google SoC this year (3x more than last year!): [vmkit] "Generics support for N3" by Tilmann Schelle [clang] "Adding support for C++ classes in clang" by Argiris Kirtzidis [codegen] "PSP (Playstation Portable) support into LLVM Mips backend" by Bruno Cardoso Lopes [llvmir]

Dear R-help subscribers, I'm trying to write a function to generate data simulating the image created by a point radiation source in a plane on a screen where there is filter with a single circular aperture in it between the source and the screen. Following some guides (including Intro to R and some I found online) and examples I have specified the function (full code below question) with

I've been looking over Benjamin Schwartz's Skeleton A-mod proposal. I've been pretty busy with other projects over the past few months, so haven't had a chance to look at Ogg indexing until now... In general, I think Benjamin's ideas are sound, they're improvements, and I'm open to being convinced to take them in the next index version. We may as well get the index

Hi, I want to split a dataframe based on a grouping variable (in one column). The resulting new dataframes should be stored in a new variable. I tried to split the dataframe using split() and to store it using a FOR loop, but thats not working so far: df <- data.frame(A=c("A1","A1","A2","A2"),B=seq(1:4)) Fsplit <- function(x,y){ ls <-

Some time ago I tried to find out how to compute remainders in R. I now know that it is done with %%, which is documented in help('+'), but before someone told me that I tried: help('remainder'), help.search('remainder'), apropos('remainder') help('modulo'), help.search('modulo'), and apropos('modulo') all of which yielded nothing. I then

Mark II of the patch set. The first patch (dynsumlen2.patch) increments the protocol version to support per-file dynamic block checksum sizes. It is a prerequisite for varsumlen2.patch. varsumlen2.patch implements per-file dynamic block and checksum sizes. The current block size calculation only applies to files between 7MB and 160MB setting the block size to 1/10,0000 of the file length for a

On Tuesday 22 April 2008, Chris Lattner wrote: > [llvmir] "Software Transactional Memory (STM) support in LLVM" by > Luis Felipe Strano Hi, I'd like to know more about the directions for the STM project. Somewhat contrary to what the project's abstract states, there are open C/C++ based implementations for compiler support for memory transactions. Besides some

Hi, Is there any way to sort a tabel with a colum with IP-address? table: id rank color status ip 138 29746 yellow no 162.131.58.26 138 29746 red yes 162.131.58.16 138 29746 blue yes 162.131.58.10 138 29746 red no 162.131.58.17 138 29746 yellow no 162.131.58.14 138 29746 red no 162.131.58.13 138 29746 yellow no 162.132.58.15 139 29746 green no 162.252.20.69 140 29746 red yes

Hi, I'm trying to write a function that will divide a given range of numbers into 3 sets using sample(), without repetition. Currently I'm trying this approach: r <- 1:10 s1 <- sample(r,size=3) Next, I want to remove the selected elements from r and sample() from the remainder. r <- r[ -(r=s1) ] s2 <- sample(r,size=3) When I go to remove the elements contained in s2 from