similar to: Counting value changes

Hello, I have the following problem. I am running simulations on possible states of a set of agents (1=employed, 0=unemployed). I store these simulated time series in a matrix like the following, where rows indicates time periods, columns the number of agents (4 agents and 8 periods in this case): Atr=[ 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 0 1 0 1 0

Hello I have this problem. I have a large matrix of this sort: > prova [,1] [,2] [,3] [,4] [1,] 3 3 3 3 [2,] 3 3 3 1 [3,] 1 3 3 3 [4,] 1 1 1 3 [5,] 3 1 1 3 [6,] 3 1 1 3 [7,] 1 3 1 3 [8,] 1 3 3 3 What I want to do is to count the number of sequences of ones and stack the results in a

Hallo! I have a vector of ID's like so, id <- c(1,2,2,3,3,3,4,5,5) I would like to create a [start,stop] pair of vectors that index the first and last observation per ID. For the ID list above, it would look like 1 1 2 3 4 6 7 7 8 9 I haven't worked with indexes/data manipulation much in R, so any pointers would be helpful. Many thanks! ~~~~~~~~~~~~~~~~~~~ -Robin Jeffries Dr.P.H.

Hi all, I've a vector with entries, which are all of the same type, e.g. string: k <- c("bb", "bb", "bb", "aa", "cc", "cc") and want to create a second vector containing the number of each entry in k in the same order as in k, i.e. c(3, 1, 2) or: k <- c(5,5,5,5,2,2,4) => c(4,2,1) thanks

Dear R users, I am running simulations (1000), and in my simulation I am looking at specific sums. For example, if the sum is >=4 then count this, if say <3, then don't count, if the sum=3, then generate a random number from uniform distribution, if this number is say less than 0.5, then count this sum, if greater than 0.5, then don't count. I am having trouble with introducing this

Hello R-helpers, I have a question about counting numbers. Here is a simple example. a=c(2, 3, 3,4) > table(a) a 2 3 4 1 2 1 so, I can to create another variables that has the corresponding counting numbers. In this case, I want to have: b=c(1,2,2,1) Is there any way coding for this ? Thanks for helps! Carrie-- [[alternative HTML version deleted]]

I have the following sequence of characters. These could be integers as well. For this problem, only two values are valid. S S S S S S W W W W W W W W S S S S S S S S W W W W W W W W S S S S S S S S S S S S S W W W W W W W W W I need to determine the count of the classes/groups in sequence. as 6,8,8,8,13,9 where the sum of these equal my total observations. Any help is greatly appreciated.

Hello, I have a very long (~50,000) sequence of repeating numbers. The first 100 are: [1] 0 0 0 0 0 0 0 0 0 0 0 429 [13] 429 429 429 429 429 429 429 858 858 858 858 858 [25] 858 1287 1287 1287 1287 1287 1716 2145 2145 2574 2574 3003 [37] 3003 3432 3432 3861 4290 4719 5148 5577 5577 6006 6006

Hi all, I have a nx1 logical array of zeros and ones and I want to calculate the individual lengths of all 1-consecutive sequences contained in it. Is there an easy quick way to do this in R? So, if I have a vector such as 111001101000011111110 I would like to get (1) 3, (2) 2, (3) 1, (4) 7 Any help would be appreciated! thanks! Jorge [[alternative HTML version deleted]]

I want to make a histogram from the lengths vector which is part of the output of rle. But I don't know how to access that vector so that I use it as an argument of hist(). What argument must I use so that I use the lengths vector as an input to hist()? Example output is: Run Length Encoding lengths: int [1:4] 1 2 3 3 values : num [1:4] -1 1 -1 1 A printout of the function rle() may

Dear R users, I'd like to count the number of integers in a vector y. Here is an example. y <- c(0,1,1,3,3,3,5,5,6) In fact, I know how to count the number of specific number in y. sum(y==0) -> 1 sum(y==1) -> 2 sum(y==2) -> 0 sum(y==3) -> 3 sum(y==4) -> 0 sum(y==5) -> 2 sum(y==6) -> 1 However, in one computation I want to get this vector [1,2,0,3,0,2,1]. Thank

Dear R users, I have this data frame, y samp 8 0.03060419 X 18 0.06120838 Y 10 0.23588374 X 3 0.32809965 X 1 0.36007100 X 7 0.36730571 X 20 0.47176748 Y 13 0.65619929 Y 11 0.72014201 Y 17 0.73461142 Y 6 0.76221313 X 2 0.77005691 X 4 0.92477243 X 9 0.93837591 X 5 0.98883581 X 16 1.52442626 Y 12 1.54011381 Y 14 1.84954487 Y

Dear List, Suppose we have a variable K.JUN defined as (with 1=wet, 0=dry): K.JUN1984 = c(1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1) K.JUN1985 = c(0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1) K.JUN1986 = c(0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1)

I have a matrix of frequency counts from 0-160. x<-as.matrix(c(0,1,0,0,1,0,0,0,1,0,0,0,0,1)) I would like to apply a function creating a new column (x[,2])containing values equal to: a) log(x[m,1]) if x[m,1] > 0; and b) for all x[m,1]= 0, log(next x[m,1] > 0 / count of preceding zero values +1) for example, x[1,2] should equal log(x[2,1]/2) = log(1/2) = -0.6931472 whereas x[3,2] should

I have a list of {0,1} values, say y<-c(0,0,0,1,1,0,0,1,0,1,1,1,1) I want to compute the first few zeros and the last few ones. So the output I expect is 3 and 4 for this vector. Is there a fast way to match the numbers easily? [[alternative HTML version deleted]]

Dear All, I am practicing data manipulation and I would like to generarte a count variable. My data looks like this: Country MID 1 NA 1 0 1 0 1 1 1 0 2 0 2 1 2 0 2 0 2 0 I would like to to generate a variable

Hi, I am seeking help on designing an algorithm to identify the locations of stretches of 1s in a vector of 0s and 1s. Below is an simple example: > dat<-as.data.frame(cbind(a=c(F,F,T,T,T,T,F,F,T,T,F,T,T,T,T,F,F,F,F,T) ,b=c(4,12,13,16,18,20,28,30,34,46,47,49,61,73,77,84,87,90,95,97))) > dat a b 1 0 4 2 0 12 3 1 13 4 1 16 5 1 18 6 1 20 7 0 28 8 0 30 9 1 34 10 1 46 11 0

Hi All, I have a data frame dat1: dat1 <-data.frame(N=seq(1, 12,1), B=c("29_log","29_log", "29_log", "27_cat", "27_cat", "1_log", "1_log", "1_log", "1_log", "1_log",

Dear List, I have a series of dates and I am needing to know the greatest length of continuous dates - i.e. the number of dates before a break in the series.? For example, below there are three continuous series of dates with lengths 4, 6, and 8.? How can I count the number of continuous dates?? rle() will do it for constant integers, but I can't figure a way to modify it for continuous

Hello everybody, I have problem with a lapply command, which rather proves that I don't fully understand it. I want to extract from a list that consists of dataframes, the length of the first sequences from a given variable (its part of a simulation exercises). Below is code which does the job, but I think it should be possible to make it more compact. ### Example Data dat <-list()