similar to: rollmean()

Hello, I am trying to loop through a matrix column and find the first value <=0 and store that matrix location in a variable called Start. I have tried the following: i <- 1 j <- 1 while (Matrix[i, j] > 0) i = (i + 1) #loop until matrix [i, j] value <= 0 #strore that row number in a variable Start <- i I am getting a scripting out of bounds error and I suspect maybe the loop

Hello, I'd like to sum the values of a row from the first negative number (FN) to the last negative number (LN), but not add any positive values to the sum. Then apply this to each row of the data frame. For example if I have a dataframe with Row 1 values DF = (4, 3, 2, 1, 0, -1, -2, -3, -2, 2, 1, -1, -2, -3, -2, -1, 1, 2) I would like to sum the numbers from column 6 to column 16, but not

Hello, I have the following data frame (DF): V5 V5.1 V5.2 V5.3 V5.4 V5.5 2 -5890.18905 -6019.84665 -6211.06545 -6198.9353 -6616.8677 -6498.7183 3 -5890.18905 -6019.84665 -6211.06545 -6198.9353 -6616.8677 -6498.7183 4 -5890.18905 -6019.84665 -6211.06545 -6198.9353 -6616.8677 -6498.7183 5 -5890.18905 -6019.84665 -6211.06545 -6198.9353 -6616.8677

Hello, I am trying to select the following headers from a data frame but when I try and run the command it executes halfway through and give me an error at V188 and V359. Temp <- data.frame(V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45,

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

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

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

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

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

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

Hi All, I have a vector n, and for each n[i] I want to extract n[i], n[i+1], n[i+2]..., until the cumulative sum of n[i] and subsequent elements exceeds a CheckValue, whereupon I move to the next index and repeat. I am trying to find a Vectorized approach, and have seen similar posts where filter{stat} and rollmean{zoo} were suggested, but, I haven't been able to figure a way to use them

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 am looking for some help at removing low-frequency components from a signal, through Moving Average on a sliding window. I understand thiis is a smoothing procedure that I never done in my life before .. sigh. I searched R archives and found "rollmean", "MovingAverages {TTR}", "SymmetricMA". None of the above mantioned functions seems to accept the smoothing

Hello, Thank you to all those great folks that have helped me in the past (especially Dennis Murphy). I have a new challenge. I often generate time-series data sets that look like the one below, with a variable ("Phase") which has a series of flat-topped peaks (sample data below with 5 "peaks"). I would like to calculate the phase value for each peak. It would be great to

As per Alex's suggestion, attached is the proof of concept "sfile" script. If there is anyone out there with great C skills who can recreate this functionality "out of the box", I think there would be a few happy campers (at least two, anyways). -------- Forwarded Message -------- Subject: Re: Encrypt /decrypta file with ssh keys. Date: Fri, 5 Aug 2016 17:24:35

Hi, I''m trying to use a kickstart file to install VMs on a Scientific Linux 5.2 (repackaged RHEL52) host, but the install process seems to ignore my kickstart file. The command I''m using is: virt-install -n sl4vm01 --ram=1024 --vcpus=1 --os-type=linux --os-variant=rhel4 --extra-args="ks=http://particle.phys.uvic.ca/~fransham/ks.cfg" --paravirt --nographics

Estimado Wilmer Contreras Sepulveda Me parece buena la sugerencia de Jorge, hay muchas formas, yo aparte de la sugerencia que le hicieron le agrego otras dos, en cualquier buscador las palabras claves son R AUC, y el artículo https://www.r-bloggers.com/calculating-auc-the-area-under-a-roc-curve/ , lógicamente aparecerán tantas alternativas que puede llegar a confundirse respecto a cuál es

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I have 104,000 users, some of which are in the OU: ad.network.local\AD\People\IFAS\Hort Is there an easy way to find all the users in this OU and grant them access to a share? Or do I have to list each user individually? And if so, can I use net user to list the users in an OU? - -Tom -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.2.6

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.