between {data.table}  R Documentation 
Intended for use in i
in [.data.table
.
between
is equivalent to lower<=x & x<=upper
when
incbounds=TRUE
, or lower<x & y<upper
when FALSE
. With a caveat that
NA
in lower
or upper
are taken as unlimited bounds not NA
.
This can be changed by setting NAbounds
to NA
.
inrange
checks whether each value in x
is in between any of
the intervals provided in lower,upper
.
between(x, lower, upper, incbounds=TRUE, NAbounds=TRUE, check=FALSE) x %between% y inrange(x, lower, upper, incbounds=TRUE) x %inrange% y
x 
Any orderable vector, i.e., those with relevant methods for

lower 
Lower range bound. Either length 1 or same length as 
upper 
Upper range bound. Either length 1 or same length as 
y 
A length2 
incbounds 

NAbounds 
If 
check 
Produce error if 
nonequi joins were implemented in v1.9.8
. They extend
binary search based joins in data.table
to other binary operators
including >=, <=, >, <
. inrange
makes use of this new
functionality and performs a range join.
Logical vector the same length as x
with value TRUE
for those
that lie within the specified range.
Current implementation does not make use of ordered keys for
%between%
.
X = data.table(a=1:5, b=6:10, c=c(5:1)) X[b %between% c(7,9)] X[between(b, 7, 9)] # same as above # NEW feature in v1.9.8, vectorised between X[c %between% list(a,b)] X[between(c, a, b)] # same as above X[between(c, a, b, incbounds=FALSE)] # open interval # inrange() Y = data.table(a=c(8,3,10,7,10), val=runif(5)) range = data.table(start = 1:5, end = 6:10) Y[a %inrange% range] Y[inrange(a, range$start, range$end)] # same as above Y[inrange(a, range$start, range$end, incbounds=FALSE)] # open interval