similar to: subsetting of a data.frame

Hi All, Does anybody know if there is a simple way to draw numbers from an empirical distribution? I know that I can plot the empirical cumulative distribution function this easy: plot(ecdf(x)) Now I want to pick a number between 0 and 1 and go back to domain of x. Sounds simple to me. Any suggestion? Thank you, Your culprit (everybody needs a culprit) -- View this message in context:

Hello List, Can anybody point me to a number-to-string formatting function? I need to convert, say, 12 to 00012. I tried format() but its too stubborn: it seems to only pad with spaces. Thank you, Your culpritNr1 -- View this message in context: http://www.nabble.com/Paddding-an-integer-with-zeros-tp20095300p20095300.html Sent from the R help mailing list archive at Nabble.com.

Hello fellow R sufferers, Is there a way to perform an appending operation in place? Currently, the way my pseudo-code goes is like this for (i in 1:1000) { if (some condition) { newRow <- myFunction(myArguments) X <- rbind(X, newRow) # <- this is the bottleneck!! } } As you can see, it works but as the matrix X gets the size of a few million rows, the

Hi again R-ists, How do you construct a string that you can pass to system()? For instance. Say I do > system("echo Hello!") Hello! That works. Now the alternative: I need to construct the string like this > a <- "echo" > b <- "Hello!" > c <- "\n" > cat(a, b, c) echo Hello! Looks nice... but see what happens when I try to use it

Dear all This may be obvious, but I cannot get it working. I'm trying to subset & sort a data frame in one go. x <- iris x$Species1 <- as.character(x$Species) ##subsetting alone works fine with(x, x[Sepal.Length==6.7,]) ##sorting alone works fine with(x, x[order(Sepal.Length, rev(sort(Species1))),]) ##gets subsetted, but not sorted as expected with(x, x[(Sepal.Length==6.7) &

Hi, Last evening we upgraded one of our 4 Domain Controllers from 4.6.5 to 4.7.1 and all of a sudden the DNS resolution issue started. We are using BIND9_DLZ back end. This server we had upgraded has all 7 FSMO Roles. Some time back we upgraded the other 3 servers from version 4.6.5 to 4.7.1 and there was no issue at all. I have also observed a very peculiar behaviour that is all of a

Dear R forum I have a data.frame as cashflow_df = data.frame(instrument = c("ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC", "ABC", "PQR", "PQR",

All- Thanks in advance for your help. I'm trying to call R function using Python in a windows environment and have downloaded the Rpy library however it doesn't appear to work with R 2.7.2. Does anyone know if a new version of Rpy exists for windows that will work with R and where it can be downloaded from? Here's an example of the error I'm getting:

Hi everyone, Although this question is more related to ChIP and ChIP-seq, it could be probably anchored in a more general statistical context. The question is : what method is better to assess the significance of the change in a signal (the signal can be DNA binding, for instance) given the background and 2 conditions. <. condition1 (eg no treatment) : background = 1;

I have a large data matrix (4460X3500) and I want to sum row subsets in groups of 10 (bin). Is there an efficient way to do this in R without using loops. Looping takes forever to perform this task! For example suppose we have the matrix > matrix(1:12,6,2) [,1] [,2] [1,] 1 7 [2,] 2 8 [3,] 3 9 [4,] 4 10 [5,] 5 11 [6,] 6 12 my problem is to sdum for

> I don't think it's an endpoint issue. I think the SIP packet headers get > over-written by the tunnel (openvpn) protocol. I'd be rather astonished if OpenVPN itself were responsible for this. As far as I know, OpenVPN doesn't do higher-level-protocol rewriting of any sort. It just provides the "bit pipe" through the tunnel. I'd suggest several other

This is basically a question about where to start looking for a problem. I have a program that gives slightly different results on two Windows computers. It is a reasonably complicated numerical optimisation, with iterative calls to optim(). The two computers both run Windows 2000. On each computer I get the same results in two different versions of R (1.5.1 and 1.6.0 on one, 1.5.1 and 1.6.1

Hi all, There seems to be rather a large speed disparity in subsetting when working with a whole data frame vs. working with just columns individually: df <- as.data.frame(replicate(10, runif(1e5))) ord <- order(df[[1]]) system.time(df[ord, ]) # user system elapsed # 0.043 0.007 0.059 system.time(lapply(df, function(x) x[ord])) # user system elapsed # 0.022 0.008 0.029

Martyn Plummer <plummer@iarc.fr> writes: > On 12-Apr-00 Peter Dalgaard BSA wrote: > > Might be a good idea. Mind you, Splus 3.4 does exatly the same thing, > > and I'm a little worried that the uniqueness assumption might kill > > some bootstrapping applications: > > > > glm(y ~ x, data=test.data, subset=sample(seq(along=y),replace=T)) > > Splus

Hi I think the subsetting works by giving you the panels for the corresponding levels of the conditioning variable(s). Note that, if there is more than one conditioning variable, you will need more than one subsetting index. For example, taking this plot with two conditioning variables and 12 panels in total ... dotplot(variety ~ yield | year * site, data=barley) ... this produces three

Hi guys, I need to insert a row to a matrix in a for loop. I have matrix named "Avg" which is a 5x4 matrix of zeros. I have a file named "A"(4 rows,14 columns) which I make a sample of it 5 times. each time I get the mean for each column and put the result in the "Avg" matrix. this is my code: Avg=matrix(0,5,4) > > for(i in 1:5){ + res=(A[sample(nrow(A),

Full_Name: Xin Lee Version: 2.8.0 OS: Windows XP Submission from: (NULL) (193.200.150.23) Dear developer I discover annoying bug in subsetting data frame. Here is reproducable examples: > data.frame <- data.frame(x = runif(5), y = runif(5), row.names = c('a','b','c','d','e') > subset <- data.frame['x'] > subset['a',] work

Running R version 3.3.1 (2016-06-21) Bug in Your Hair I have discovered an issue with model.frame() with regard to its implementation of the na.action argument. This impacts the gam package. We are expecting the last thing to happen in model.frame() is that it runs na.action on the frame it has produced. In the example below, we use "na.action=na.omit", which calls for subsetting

This is what I tried: > num.vec <- c(12.34,56.78,90.12,34.56) > names(num.vec)<-c("first","second","third","fourth") > num.vec first second third fourth 12.34 56.78 90.12 34.56 > seq<-(1:4) > num.mat<-rbind(num.vec,seq) > num.mat first second third fourth num.vec

I have a data that looks like this: http://dpaste.com/88988/plain/ How can I extract/subset the data frame based on selected uniq ID. Let's say I want the first K uniq ID. I want to be able to specify the parameter "K" here, (i.e. given K=3, we hope to extract dat$V2 = 0,1,2). I'm stuck with this construct: dat <- read.table("http://dpaste.com/88988/plain/") dats