search for: averaging

Hi Suppose you have the code below. The result I get from the cat function is from the avgs object. Now, I have 30 diferent objects like this and I wish to make a summary table, something like: Avgs1 Avgs2 Avgs3 i= 2 average= 0.515983i i= 2 average= 0.746983 i= 2 average= 0.2665983 i= 3 average=

Hi everyone, What is the easiest way to remove the word Average and strip leading and trailing blanks from the character vector (d5.Region) below? .nrow.d5. d5.Region 1 1 Central Average 2 2 Coastal Average 3 3 East Average 4 4 Metro East Average 5 5 Metro North Average 6 6 Metro South Average 7

Hi all, here is my situation In my experiment, I expose 10 subjects to 24 different conditions of stimuli. Each condition is exposed to the same subject 3x. This would make each subject have 24x3=72 data points. All the subjects combined would have 72x10=720 data points with each condition having 30 datapoints. To find the grand average of each condition, I find the average of all the

What's the reason for the burst of sendmail complaints below? My CentOS 4.3 server only handles internal mail for my small network. It doesn't handle Internet mail at all, so I guess I can't blame a crack attempt for this. IPTables rules should prevent external connections to everything except SSH's port 22. I've looked through the other logs hoping that some other activity

Good morning all! I am attempting to superimpose a moving-average smoother onto a graph of daily plots. These plots (in table[,2] below) span about 350 days and looks very noisy. I'd like for this smoother to plot the average of each group of 7 consecutive days (weekly) and show a line which joins these series of averages. Given the definition of MA, the first and last points will

Dear R users, [in case the format of email is changed or you dont finf it easy to understand, i have attached a text file of my question] i have the data in the following format and i want to convert it in the format given at the end. Ta ans Sa are the names of certain cities. there are 69 cities in my data. column 1 is representing station name (i am writing the data of only two cities for

Hi I have a table with four columns and 3 rows. I calculated the average for each columns as average (A), average (B), average (C) and average (D), then calculate the relative ratio as average (A)/average (B), and average (C)/average (D). I would like to know how can I calculate the significance between the two ratios. Thanks, Meng [[alternative HTML version deleted]]

I have loaded price data for GE and then calculated a 50 day simple moving average. Then I have a created a ifelse statement that produce a 1 when GE's closing price is above the simple moving average and a 0 when GE Closing price is below the 50 day simple moving average. However, what I really want to do is to produce a 1 for when the price is above the simple moving average for 3 days

Hola a todos, He realizado un dredge (para obtener todos los modelos GAM posibles a parir de un full model), luego he seleccionado un confidence set (los modelos que no se diferencian en 2 en AIC) y he hecho un model averaging con ese confidence set. Ahora me gustaría aplicar ese modelo "average" ajustado sobre otro set de datos pero no se como especificar en R que use el mismo modelo average en otro set de datos. tanto el dredge como el model average lo he realizado con el paquete MuMIn Alguien me puede ayud...

This is not specifically on-topic for Asterisk, but I have found on many occasions while working with Asterisk that it would have been very handy to be able to measure, with some precision, the bandwidth being used by a particular host, port, or combination of the two. So, I went searching for various tools, none of which were what I wanted. They either were too clever, or too limited in

Dear all, I know it is as simple as c <- (a + b)/2 to compute the average (element-wise) of two data vectors. However, I can't work out to compute the average when you have many data vectors in a directory. I have done this: ------------------------------------ setwd("/.../data/") listfiles <- list.files(pattern=".pre") # list all datafiles in the directory

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

...discover what value to give to FUN -'average' doesn't seem to exist, and 'sum' (whatever it is supposed to sum) gives an error saying that arguments should have the same length- Any help will be much appreciated! Silvia. -- View this message in context: http://www.nabble.com/Averaging-across-rows---columns-tf3885900.html#a11014649 Sent from the R help mailing list archive at Nabble.com.

Okay, this *should* be easy, but it isn''t, although I reserve the right to smack myself upside the head if it is: Assume that a smart has_many ratings, and a rating belongs_to a smart (the models are fine). Each rating has a column smart_id. Each smart, then, has many ratings, with a column called "rating" that is an int (1-10). I want to find, say, the ten smarts with

Dear all, I have a large dataset which I hope to reduce in size, to make it more useable. I hope to do this by taking an average of each 60 x 60 blockof values and forming a new data frame out of the averaged values. How would I go about taking averages of 60 x 60 'blocks' in R, and cycling through the whole dataset, recording each calculated value in a new table/data frame? Many thanks

I sent a post to find a clever way to compute a Rolling Average of columns in a matrix and I was given the solution below which I am very pleased with. RollingAverage <- function(x, RollingObs) { cx <- cumsum(x); N <- length(x); Temp <- (cx[RollingObs:N] - c(0, cx[1:(N-RollingObs)]))/RollingObs Output <- array(NA, N) Output[RollingObs:N] <- Temp; Output } The only

Dear all, I am pretty new to R only having an introduction course, so please bare with me. I am doing my PhD at The Max Planck Institute of Immunobiology where I am analyzing some calorimetry data from some mice. I have a spreadsheet consisting of measurements of the respiratory exchange rate at different time points measured every 9 minutes over some days. My goal is "bin"/average the

Hello list, I try to repack(tdbtool repack) my "dc=domain,dc=com.ldb" file: tdb> info Size of file/data: 3388084000/1050098055 Header offset/logical size: 0/3388084000 Number of records: 669737 Incompatible hash: no Active/supported feature flags: 0x00000000/0x00000001 Robust mutexes locking: no Smallest/average/largest keys: 12/57/242 Smallest/average/largest data: 72/1510/1235987

...y every 30 minutes so my matrix is 48 rows per day? I have been working on this and cannot figure out a simple method. Any ideas? Thank you. ----- In theory, practice and theory are the same. In practice, they are not - Albert Einstein -- View this message in context: http://r.789695.n4.nabble.com/Averaging-uneven-measurements-by-time-with-uneven-numbers-of-measurements-tp3499337p3499337.html Sent from the R help mailing list archive at Nabble.com.

Hi everyone, I'm trying to use samba in a small video post production house but we are not getting the performance we expected. Our setup: - CenOS 5.6 x86-64 - samba.x86_64 (3.0.33-3.29.el5_6.2 and 3.6.0rc1) - Intel based server (One 4 core Xeon E5620 @ 2.40GHz, 8 GB RAM) - 4 Intel Gigagit ethernet NIC ports with 802.3ad bonding connected to a switch configured tu use 802.3ad - 8 2TB 7.2