Hi all,
I have a situation where I have 16 bins. I generate a random number and
then want to know which bin number the random number falls in. Right now, I
am using a serious of 16 if() else {} statements which get very complicated
with the embedded curly braces. Is there a more efficient (i.e., easier)
way to go about this?
boundaries<-(0:16)/16
rand<-runif(1)
Which bin number (1:16) does rand fall in?
Thanks,
Dan
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> On Jul 14, 2017, at 9:10 AM, Dan Abner <dan.abner99 at gmail.com> wrote: > > Hi all, > > I have a situation where I have 16 bins. I generate a random number and > then want to know which bin number the random number falls in. Right now, I > am using a serious of 16 if() else {} statements which get very complicated > with the embedded curly braces. Is there a more efficient (i.e., easier) > way to go about this? > > > boundaries<-(0:16)/16 > rand<-runif(1) > > Which bin number (1:16) does rand fall in? > > Thanks, > > DanSee ?findInterval> findInterval(rand, boundaries)[1] 6 There are various function arguments as well, relative to how to deal with the interval boundaries, as described on the help page. Regards, Marc Schwartz
?cut cut( 0.51, boundaries ) You can also use as.integer to convert the resulting factor to an integer. -- Sent from my phone. Please excuse my brevity. On July 14, 2017 7:10:59 AM PDT, Dan Abner <dan.abner99 at gmail.com> wrote:>Hi all, > >I have a situation where I have 16 bins. I generate a random number and >then want to know which bin number the random number falls in. Right >now, I >am using a serious of 16 if() else {} statements which get very >complicated >with the embedded curly braces. Is there a more efficient (i.e., >easier) >way to go about this? > > >boundaries<-(0:16)/16 >rand<-runif(1) > >Which bin number (1:16) does rand fall in? > >Thanks, > >Dan > > [[alternative HTML version deleted]] > >______________________________________________ >R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >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.