similar to: Extract vector elements until cumsum <= x

I thought this would be simple, but I just cant seem to get it to work. # only allow numbers. Need to check for nil / NAN def saveHours(val) if val < 0 val = 0 end return val end current_item.product.v1 = checkValue(values[:val1]) current_item.product.v2 = checkValue(values[:val2]) but when I run the code, nothing is ever returned from the checkValue function.

Running R.app on Mac OS X 10.4 > version _ platform powerpc-apple-darwin8.6.0 arch powerpc os darwin8.6.0 system powerpc, darwin8.6.0 status major 2 minor 3.1 year 2006

Running R.app on Mac OS X 10.4 > version _ platform powerpc-apple-darwin8.6.0 arch powerpc os darwin8.6.0 system powerpc, darwin8.6.0 status major 2 minor 3.1 year 2006

Hello, I am trying to calculate a 31 day running mean in some temperature data along ROWS. Rollmean() works great along columns, but how do I perform this same action on my rows? The data is a matrix of 365 columns (days of the year) by 5,000 rows (lat/long coordinates). I would like to perform a 31 day running mean along the 365 days. I am new to R so any help would be greatly appreciated!

Hi all R users, Can anyone please let me know how to do the moving average with R? With regards, Abu _________________________________________________________________ Free games, great prizes - get gaming at Gamesbox.

Hello, I'm new to R and would like to know how to create a vector of "rolling sums". (I have seen the Rmetrics package and the rollMean function and I would like to do the same thing except Sum instead of Mean.) I imagine someone has done this, I just can't find it anywhere. Example: x <- somevector #where x is 'n' entries long #what I would like to do is: x1

>> what is in '/usr/bin/dhcpd-update-samba-dns.sh' ? # will receive addresses from this DHCP server. Instructions are found here: # https://wiki.archlinux.org/index.php/Samba_4_Active_Directory_Domain_Controller#DHCP sleep 5 checkvalues() { [ -z "${2}" ] && echo "Error: argument '${1}' requires a parameter." && exit 1 case ${2} in -*) echo

Hello useRs, I'd like to perform a moving average on the dataset, xx. I've tried combining the functions Reduce and rollmean but it didn't work. > r <- function(n) rollmean(n, 2) # where 2 = averaging interval > output < - Reduce("r", x) Error in f(init, x[[i]]) : unused argument(s) (x[[i]]) Is there anything wrong with the code in the first place? where

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 all, Have some time series data stored in a data.frame, and am plotting it with ggplot2 (which is totally awesome). I have explored the documentation and mailing list archives, and I can't see any way to plot a 'smoother' that is just the K-step moving average. For example, imagine I had a data.frame called 'sleep' with 'date' as the date (from as.Date()) and

I have what may be a simple/foolish question, but I've done the due diligence and looked through pages of posts here as well as several of the PDFs on the CRAN site, but haven't been able find what I'm after. I am working with a list of say 3 histogram objects A, B & C, and each histogram is a list of 7 elements. I would like to access $name, the 6th element, of histograms A,B and

Hello R users, I am a researcher at the University of Michigan looking for a solution to an R problem. I have loaded my data in from a mysql database and it looks like this > data ds c1 c2 1 2010-04-03 100 0 2 2010-04-30 11141 15 3 2010-05-01 3 16 4 2010-05-02 7615 14 5 2010-05-03 6910 17 6 2010-05-04

Could anyone tell me a better way to achieve the output of this for loop? It seems to run quite slow. I'm sure there must be a more consise way to sum from FN to LN, excluding positive values, for each row. #sum between FN and LN, excluding positive values for(i in 1:R){ for(j in FN[i]:LN[i]){ if(Temp[i,j]<0) sum[i] <- sum[i] + sum(Temp[i,j])}} Cheers, R -- View this message in

hi, i am looking for a solution whereupon calling myEntityObject.to_xml does not convert my attributes containing underscores into hyphens. at the moment an attribute named "my_own_attribute" is converted into <my-own-attribute>. does anybody have an idea how to change that and have to_xml generate <my_own_attribute> thanks ciao robertj -- Posted via

Had an event today where dovecot refused new connections and would not accept more until restarted, whereupon it worked for a few minutes and locked up again. Looking at the logs it appeared that it had run out of file descriptors. I increased the open files limit and started it again-- which worked but it only pushes off the problem. Does dovecot keep an open file descriptor for every imap or

I am working on a simple pilot project comparing the capability of SQL, SAS and R to perform a rolling mean per the following instructions. I have completed the SQL and SAS analysis, so now it's R's turn. Calculate mean values of x (x=count) for each date in the dataset where mean = the average count of days [t-9] through day [t-3] for each date/illness combination. Dataset aggpilot

I manage a small server that I back up weekly. I do this by making a tarball of relevant files then transferring it over the local subnet to my station (Fedora 11), whereupon I burn it to DVD. There is no optical burner on the server. The tarball amounts to a bit under 5 gigs. Recently I've started getting an error telling me to try PASV or PORT first. I use the gFTP client on my

Hi, I'm trying to figure out common approach on calculating MA on a dataset that contains column "time". After digging around, I believe functions rollmean and rollaply should be used. However I don't quite understand the requirements for the underlying data. Should it be zoo object type? Formatted in a special way? As an example, I'm looking to get calculated

I need to investigate how rollmean and the trend returned from stl differ. I am trying to find out exactly what the trend part of stl is (I have just started coding in R and do not know fortran). I need to extract this because it will be used in further calculations, and it needs to be verified to make sure that I am using the right process. I would like to use this to remove the seasonal

This is a bit off topic, but I'm looking for a convenient way to manage N "identical" Windows PCs, using as much as possible 1 command to do the same thing on all of them. The capabilities I'm looking for, preferably in a single tool are, given a designated master machine and N clones of that master: 1. Compare all (or to a specified depth) files below some directory on the