vectors | R Documentation |
All these functions except %n_d%
, %n_i%
preserve names of
vectors and don't remove duplicates.
%a%
a(ppends) second argument to the first argument. See also
append.
%u%
and v_union
u(nite) first and second arguments.
Remove elements from the second argument which exist in the first argument.
%d%
and v_diff
d(iff) second argument from the first
argument. Second argument could be a function which returns logical value. In
this case elements of the first argument which give TRUE will be removed.
%i%
and v_intersect
i(ntersect) first argument and
second argument. Second argument could be a function which returns logical
value. In this case elements of the first argument which give FALSE will be
removed.
%e%
and v_xor
e(xclusive OR). Returns elements that
contained only in one of arguments.
%r%
r(epeats) first argument second argument times. See
also rep.
%n_d%
and n_diff
n(ames) d(iff) - diff second argument
from names of first argument. Second argument could be a function which
returns logical value. In this case elements of the first argument which names
give TRUE will be removed.
%n_i%
and n_intersect
n(ames) i(ntersect) - intersect
names of the first argument with the second argument. Second argument could be a
function which returns logical value. In this case elements of the first argument
which names give FALSE will be removed.
For %d%
, %i%
, %n_d%
, %n_i%
one can use
criteria functions. See criteria for details.
e1 %a% e2
v_union(e1, e2)
e1 %u% e2
v_diff(e1, e2)
e1 %d% e2
v_intersect(e1, e2)
e1 %i% e2
v_xor(e1, e2)
e1 %e% e2
e1 %r% e2
n_intersect(e1, e2)
e1 %n_i% e2
n_diff(e1, e2)
e1 %n_d% e2
e1 |
vector or data.frame, matrix, list for |
e2 |
vector or function for |
vector or data.frame, matrix, list for %n_d%
, %n_i%
)
1:4 %a% 5:6 # 1:6
1:4 %a% 4:5 # 1,2,3,4,4,5
1:4 %u% 4:5 # 1,2,3,4,5
1:6 %d% 5:6 # 1:4
# function as criterion
1:6 %d% greater(4) # 1:4
1:4 %i% 4:5 # 4
# with criteria functions
letters %i% (contains("a") | contains("z")) # a, z
letters %i% perl("[a-d]") # a,b,c,d
1:4 %e% 4:5 # 1, 2, 3, 5
1:2 %r% 2 # 1, 2, 1, 2
# %n_i%, %n_d%
# remove column Species
iris %n_d% "Species"
# leave only columns which names start with "Sepal"
iris %n_i% like("Sepal*")
# leave column "Species" and columns which names start with "Sepal"
iris %n_i% ("Species" | like("Sepal*"))
iris %n_i% or("Species", like("Sepal*")) # same result
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