similar to: Extracting maximums from a sliding window

Where can I find the maximums of ext3? Today I ran into trouble after a directory had 31999 subdirectories in it (not including . or ..). I know that ext3 can hold many more regular files than that, but where are the limits defined?

Hi Users, I want to fit the maximums of a data series with a cubic spline. How do I go about this in R. I failed to figure out how I can use the mgcv library to do this. Thanks ---------------------------- ZABLONE

I have a time series of rainfall in a dataframe. I would like to be able to aggregate this using a sliding window approach- i.e. a new 24 hourly total is calculated for each hours rainfall. I'm struggling to understand how this might be achieved - currently I've tried looping a sum function to re-calculate a new total at every stage of the loop. for (inp[[9]] in

[Sorry, can't use git-send-email at the moment ...] These patches implement a sliding window for the streaming plugin[1] in nbdkit. I would like to be able to stream a filesystem from tools such as 'virt-make-fs'[2]. This is a fairly frequently requested feature. Unfortunately: (a) The patches make the code significantly more complex and therefore likely to have bugs. (b) They

Hello again, Does anyone know why some FPS games tend to have the screen slide sideways occasionally, showing part of the desktop (this is a dual display system so my desktop is 2048x768). I've configured the metamode settings in xorg.conf to blank the primary monitor when the games go full screen and change the resolution -- which works fine except when the mouse movement causes the screen

Okay, I've posted this twice before and if I've learned anything with Linux it's that "patience and persistence is the key". Anyway, when I play First-Person-Shooters in wine sometimes the screen will slide if I move the mouse too far to the side. Generally happens when the game hangs for a second -- trying to catch up with sound or video or when I drop the console to type

Dear all, I would like to know if there is any R package that uses a sliding window approach to assess statistical significance out of my data. My data is composed of DNA sequences (of variable length) that are mapped to a genome with a determined score of alignment. So, I want to see if I can find more tags in a given region of the genome as opposed to finding them by chance. In this sliding

Here's my code: http://pastebin.com/0yRxEVtm The important parts are uncommented and should be easy to find using the link above. For the following line of code, I plan on looking for a way to offset it up 7 rows so that the 15 minute timestamp would be considered the "median" of the subset being averaged to find the mean: avgCool = aggregate(intCool, trunc(time(intCool),

Dear all, you can find below my solution for sliding a window. Please find below the code for the two alternatives and the benchmarks.     install.packages('caTools') require(caTools) do_sliding_for_a_window_duty_cycle <- function(DataToAnalyse,  windowSize) {   data<-DataToAnalyse   out <- numeric()   elements<- numeric()   if (length(data[,1]) >= windowSize){       for

Dear all, I am having a vector of around 300.000 elements and I Want to slide fast a window from the first element until the last-Windowsize what I have so far is the following for statement:  for (i in 1:(length(data[,1]) - windowSize)) {         out[i] <- mean(data[i:(i + windowSize - 1), ])         elements[i]<-length(i:(i + windowSize - 1))       } but this of course takes ages to

Hello together, I'm looking for advice on how to do some tests on strings. What I want to do is the following: (just an example, real strings/sequence are about 200-400 characters long) given set of Strings: String1 abcdefgh String2 bcdefgop use a sliding window of size x to create an vector of all subsequences of size x found in the set (order matters! ). Now create, for every string

I have a little image gallery application in rails enough for small galleries (20< photos). But as images increase and the user needs to scroll down the page it starts getting anoying to see all pictures... I thought pagination but then I saw this AJAX goodness http://www.apple.com/getamac/ads/ As you can see the videos scroll right/left when the arrows are pressed in a circular manner

Dear all, I have some very big data files that look something like this: id chr pos ihh1 ihh2 xpehh rs5748748 22 15795572 0.0230222 0.0268394 -0.153413 rs5748755 22 15806401 0.0186084 0.0268672 -0.367296 rs2385785 22 15807037 0.0198204 0.0186616 0.0602451 rs1981707 22 15809384 0.0299685 0.0176768 0.527892 rs1981708 22 15809434 0.0305465 0.0187227 0.489512 rs11914222 22 15810040 0.0307183

Dear List members I want to do the sliding window analysis of some specific values. Here is my code: require(zoo) dat <- read.table("chr1.txt", header = TRUE, sep="\t") dat2 <- cbind(dat[1,3]) #The first column is also important. It represents the position of the site on the chromosome. TS <- zoo(c(dat2)) a <- rollapply(TS, width=1000000, by=200000, FUN=mean,

Hi all, I have a very large binary vector, I wish to calculate the number of 1's over sliding windows. this is my very slow function slide<-function(seq,window){ n<-length(seq)-window tot<-c() tot[1]<-sum(seq[1:window]) for (i in 2:n) { tot[i]<- tot[i-1]-seq[i-1]+seq[i] } return(tot) } this works well for for reasonably sized vectors. Does

Hi I am using barplot() to draw some barplots, with a matrix as the data so that multiple bars are drawn for each data point. I want to use the argument "beside=TRUE" to juxtapose the bars instead of stacking them. If I execute: barplot(data,names.arg=names,density=c(20,10),beside=FALSE) I get the expected behaviour i.e. the bottom part of the column is shaded 20 lines per inch, the

Hi all there Can some one who have experience and knowledge in the pharma industry give me broad details on the subject "Statistical applications for pharma industry". I am new to the subject i.e. what kind of statistical tools used being unique /or atleast specific for pharma industry. It will be of great help as i am actively looking into the subject. though i am quite familiar

How can I get a multi line string from a vector of string tokens in an easy manner (e.g. for the use as xlab of a plot)? I have e.g.: > tokens <- letters[1:5] [1] "a" "b" "c" "d" "e" I search: [1] "a, b, c\nd, e" I tried: > nlines <- 2 > ntokens.line <- ceiling(length(tokens) / nlines) > token.list <-

History files saved using nFile Save History do not open when using File Load History. I notice that when they are saved they do not seem to have a file extension and there is no option to chose an extension. Is this a problem. Other than this it seems so simple that I can't see what the problem is. I've tried using loadhistory and savehistory with the same problems. The syntax guide

Hi I have used merge() to merge two data frames, very much like performing a SQL join. Now I want to do a few different SQL-style things and I wondered if there were functions to do it... Is there a "group by" style function? For example if I merge() two data frames and end up with multiple rows for each "id", and want to take the average of the values of a particular