Working with R, I was looking for functionality to easily subset my data based on a sequence of numbers. After writing a for loop and using rbind to do it initially (terrible to do in R!), I finally found a way to do this efficiently. Using a command called %in%, you can easily apply it as a filter in the subset command to get data filtered based on your sequence. Enjoy!
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # Generate sample data based to test.sample_data <- data.frame(ID=seq(1,100,1), Score=sample(0:100,100,rep=TRUE))summary(sample_data)# Plot the scores, see that there is a score for each id.plot(sample_data$Score~sample_data$ID)# Create a filter to apply.look_at <- seq(1,100,10)# Filter the sample data by look_at using the %in% command.subset_data <- subset(sample_data, ID %in% look_at)# Plot the scores, note the filtered data.plot(subset_data$Score~subset_data$ID) |