is_integer
tests if x
contains only integer numbers.
is_integer(x, tol = .Machine$double.eps^0.5)
Number(s) to test (required, accepts numeric vectors).
Numeric tolerance value.
Default: tol = .Machine$double.eps^0.5
(see ?.Machine
for details).
Thus, is_integer
does what the base R function is.integer
is not designed to do:
is_integer()
returns TRUE or FALSE depending on whether its numeric argument x
is an integer value (i.e., a "whole" number).
is.integer()
returns TRUE or FALSE depending on whether its argument is of type "integer", and FALSE if its argument is a factor.
See the documentation of is.integer
for definition and details.
is.integer
function of the R base package.
Other verification functions:
is_complement()
,
is_extreme_prob_set()
,
is_freq()
,
is_matrix()
,
is_perc()
,
is_prob()
,
is_suff_prob_set()
,
is_valid_prob_pair()
,
is_valid_prob_set()
,
is_valid_prob_triple()
is_integer(2) # TRUE
#> [1] TRUE
is_integer(2/1) # TRUE
#> [1] TRUE
is_integer(2/3) # FALSE
#> [1] FALSE
x <- seq(1, 2, by = 0.5)
is_integer(x)
#> [1] TRUE FALSE TRUE
# Note contrast to base R:
is.integer(2/1) # FALSE!
#> [1] FALSE
# Compare:
is.integer(1 + 2)
#> [1] FALSE
is_integer(1 + 2)
#> [1] TRUE