Reputation: 652
Assuming I have a histogram with X amount of observations ranging from 0 to 100, with break intervals of 0.00-0.99, 1.00-1.99... etc. how do I associate a new observation (let's say 65.5 for arguments sake), with the number of observations of the appropriate break?
Would using a frequency table rather than a histogram make this easier?
If that wasn't clearly formulated please let me know and I'll try to clarify.
Upvotes: 0
Views: 362
Reputation: 4614
Here is the code doing what you want:
# Setup
data = runif(10000)
h = hist(data, breaks = seq(0,1,length.out = 101))
# New observation
newdata = runif(1)
# Get the bin for the new value
position = findInterval(newdata, h$breaks)
# Extract the counts
counts = h$counts[position]
# Test the counts are correct (for this experiment)
countstest = sum(floor(data*100) == floor(newdata*100))
show(c(counts, countstest))
## [1] 93 93
Upvotes: 3