How can i bin data of size 0.1 for the following example.
x<-c(0.01,0.34,0.45,0.67,0.89,0.12,0.34,0.45,0.23,0.45,0.34,0.32,0.45,0.21,0.55,0.66,0.99,0.23,.012,0.34)
range frequency
0.1-0.2 a
0.2-0.3 b
0.3-0.4 c
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Regards
Regarding @akrun solution, I would post something usefull from the documentation ?cut, in case:
Note
Instead of
table(cut(x, br)),hist(x, br, plot = FALSE)is more efficient and less memory hungry.
So, in case of lots of data, I would rather opt for:
br = seq(0,1,by=0.1)
ranges = paste(head(br,-1), br[-1], sep=" - ")
freq = hist(x, breaks=br, include.lowest=TRUE, plot=FALSE)
data.frame(range = ranges, frequency = freq$counts)
# range frequency
#1 0 - 0.1 2
#2 0.1 - 0.2 1
#3 0.2 - 0.3 3
#4 0.3 - 0.4 5
#5 0.4 - 0.5 4
#6 0.5 - 0.6 1
#7 0.6 - 0.7 2
#8 0.7 - 0.8 0
#10 0.9 - 1 1