Hi, May be you can use ?cut or ?findInterval for the range
dat1 <- read.table(text="100, 100, 200 250, 300, 350 100, 350, 100 400, 250, 300 200, 450, 200 150, 501, 300 150, 250, 300",sep=",",header=F) sapply(dat1, findInterval, c(400,500))==1 # V1 V2 V3 #[1,] FALSE FALSE FALSE #[2,] FALSE FALSE FALSE #[3,] FALSE FALSE FALSE #[4,] TRUE FALSE FALSE #[5,] FALSE TRUE FALSE #[6,] FALSE FALSE FALSE #[7,] FALSE FALSE FALSE A.K. On Thursday, June 26, 2014 4:11 PM, VINCENT DEAN BOYCE <vincentdeanbo...@gmail.com> wrote: Hello, Using R, I've loaded a .cvs file comprised of several hundred rows and 3 columns of data. The data within maps the output of a triaxial accelerometer, a sensor which measures an object's acceleration along the x,y and z axes. The data for each respective column sequentially oscillates, and ranges numerically from 100 to 500. I want create a function that parses the data and detects patterns across the three columns. For instance, I would like to detect instances when the values for the x,y and z columns equal 150, 200, 300 respectively. Additionally, when a match is detected, I would like to know how many times the pattern appears. I have been successful using str_detect to provide a Boolean, however it seems to only work on a single vector, i.e, "400" , not a range of values i.e "400 - 450". See below: # this works > vals <- str_detect (string = data_log$x_reading, pattern = "400") # this also works, but doesn't detect the particular range, rather the existence of the numbers > vals <- str_detect (string = data_log$x_reading, pattern = "[400-450]") Also, it appears that I can only apply it to a single column, not to all three columns. However I may be mistaken. Any advice on my current approach or alternativea I should consider is greatly appreciated. Many thanks, Vincent [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
