similar to: detect subset in series

Hello, I am struggling with detecting successive digits in a numerical series vector. Here is an example: vec <- c(1, 15, 26, 29, 30, 31, 37, 40, 41) I want to be able to detect 29, 30, 31 and 40, 41. Then, I would like to delete the successive digits from the vector. 1, 15, 26, 29, 37, 40 Cheers -- View this message in context:

I need to determine the length of the longest series of consecutive numbers (1's to be specific) and the start time of that series. For example, in the following sample, the first column is "time" and the second column indicates the presence of the target behavior. I would like a function that would return "21" as the start time and "17" as the length. sample

Hello list, I read in a txt file using <B<-read.table(file="data.snp",header=TRUE,row.names=NULL) by specifying the row.names=NULL so that the rows are numbered. Below is an example after how the table looks like using <B[1:10,1:3] SNP Chromosome PhysicalPosition 1 SNP_A-1909444 1 7924293 2 SNP_A-2237149 1 8173763

Dear Helpers:   I spend more than half a day to solve this problem in R:   Let x be a vector of a string of 0s and 1s, such as x<-c(0,0,1,1,0,0,0,0,1,1,0,0,0,0). It can be a very long vector. How to sub vectors of 0s? In the above example, I would like get the vectors (0,0), (0,0,0,0), (0,0,0,0). I can use which(x==0) to get the index of the 0 elements, but I don't know how to get the

Dear list members I have a rather large vector (part of a data frame) giving the time (date + time, POSIXct) of observations. The times are irregular (with both small and large jumps) but increasing, and there are several millions of them. I now wish to reduce my data set, so that I only have observations which are at least (for example) 60 seconds apart. Basically, I need (all) the indices

Hi - I am trying to find and describe missing data in a time series. For instance, in the library openair, there is a data frame called "mydata": library(openair) head(mydata) date ws wd nox no2 o3 pm10 so2 co pm25 1 1998-01-01 00:00:00 0.60 280 285 39 1 29 4.7225 3.3725 NA 2 1998-01-01 01:00:00 2.16 230 NA NA NA 37 NA NA NA 3 1998-01-01 02:00:00

Hello, I am searching for a function to calculate "partial" cumsums. For example it should calculate the cumulative sums until a NA appears, and restart the cumsum calculation after the NA. this: x <- c(1, 2, 3, NA, 5, 6, 7, 8, 9, 10) should become this: 1 3 6 NA 5 11 18 26 35 45 any ideas? thank you and best regards, stefan

Hi all..RCounters! I´m working with standarized time series, and i need make a counter of consecutives positves numbers to make a cumulative experimental funtion. I have x: the time series (0,1) and y: my counter, i have this for step. What is wrong?.. any can help me please! x<-rbinom(15,1,.3) y<-NULL;s<-0 for (i in 1: length (x)) {if (x[i]>0) {s<-s+x[i] s=0}

dear R users I have been trying a lot to get this task accomplished but need your help. input: x <- c(3,3,4,4,4,4,5,7,7,0,1,1,2,2,2) desired output 3 1 2 4 3 6 7 8 9 ... which means, 3 is repeated at index 1:2 4 is repeated at index 3:6 ... my effort has not been that good. a <- !c(NA,diff(x)); b <- which(a==1); a[b-1]=1; cbind(x,a); or sp <-

Dear List I hope you can help me: I?ve got a dataframe (df) within which I am looking for Peak Over Threshold values as well as the length of the events. An event starts when walevel equals 5.8 and it should end when walevel equals the lower threshold value (5.35). I tried ?clusters (?)? from ?evd package?, and varied r (see example) but it did not work for all events (again

I have a data frame of ~200 columns and ~20,000 rows where each column consists of binary responses (0,1) and a 9 for missing data. I am interested in finding the columns for which there are fewer than 100 individuals with responses of 0. I can use an apply function to generate a table for each column, but I'm not certain whether I can subset a list based on some criterion as subset() is

I think need to do something like this: dat<-data.frame(state=sample(id=rep(1:5,each=200),1:3, 1000, replace=T,prob=c(0.7,0.05,0.25)),V1=runif(1,10,1000),V2=rnorm(1000)) rle.dat<-rle(dat$state) temp<-1 out<-data.frame(id=1:length(rle.dat$length)) for(i in 1:length(rle.dat$length)){ temp2<-temp+rle.dat$length[[i]] out$V1[i]<-mean(dat$V1[temp:temp2])

Hello, I have 2 variable: one is an "id" sequence from 1:1000 and the other is variable with real values "VI" from -15.0 to 20.0 and I want to detect id values that have indicator values less than a certain threshold, for example (x=1) BUT that are in sequence equal or longer than 5. For instance, in the following column I want to recognize the sequence from "id" 4

I have searched for info on how to apply the Western Electric rules for process control, to data and plots I have in R, but I have not been able to learn how. Any help would be greatly appreciated. Thank you, sjcrauhut at agere.com 05/20/02 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear R Community - I hope you might be able to provide some guidance regarding the use of the rle function. I have a set of time-series data where a measured value is recorded every 30 seconds after the start of an experiment. Many of the measured values repeat and I am interested only in the values when there is a change. If I turn the measured values into a vector, the rle function works

I am trying to learn how to use the graphics from the lattice package ( and am very new to R). I am trying to replicate the example plot referenced below, by using the lattice xyplot & lpolygon to create panels. I get what appears to be the correct shape of the filled region, but cannot get the position to overlay properly. I have attempted with various settings of position. ( i.e.

Hallo, suppose I have a vector: x <- c(1,1,1,2,2,3,3,3,3,3,4) How can I generate a vector/sequence in which a fixed number of zeroes (say 3) is inserted between the consecutive values, so I get 1,1,1,0,0,0,2,2,0,0,0,3,3,3,3,3,0,0,0,4 thanks a lot, Serguei [[alternative HTML version deleted]]

Hi, Is there a simple way of doing the following in R? a <- data.frame(name = c(rep("A", 3), rep("B", 5), rep("C", 10))) > a name 1 A 2 A 3 A 4 B 5 B 6 B 7 B 8 B 9 C 10 C 11 C 12 C 13 C 14 C 15 C 16 C 17 C 18 C Do some fancy R code here: > a name val 1 A 1 2 A 2 3 A 3 4

Dear all, I am trying to extract rows from a data.frame based on the rowSums != 0. I want to preserve rownames in the first column in the subset. Does anyone know how to extract all species that don't have rowSums equal to zero? Here it is: # dataset x <- data.frame( species=c("sp.1","sp.2","sp.3","sp.4"), site1=c(2,3,0,0), site2=c(0,0,0,0),

Hi all, I have a data frame df and I want to do subset based on several conditions of letters of the names in Command.1)if the names contain PD 2)if the names contain t1 3)if the names contain t2 4)if the names contain t1 and PD 5)if the names contain t2 and PD 6)otherwise the names would be unknown. I don't know how to use grep for all these conditions. 'data.frame': 36919