| data-frame-predicates | R Documentation |
is_map_df() tests whether an object is the output of a scrutiny-style
mapper function for consistency tests, like grim_map(). These mapper
functions also include those produced by function_map(),
function_map_seq(), and function_map_total_n().
is_map_basic_df() is a variant of is_map_df() that tests whether an
object is the output of a "basic" mapper function. This includes functions
like grim_map() and those produced by function_map(), but not those
produced by function_map_seq() or function_map_total_n().
is_map_seq_df() tests whether an object is the output of a function that
was produced by function_map_seq().
is_map_total_n_df() tests whether an object is the output of a function
that was produced by function_map_total_n().
is_map_df(x)
is_map_basic_df(x)
is_map_seq_df(x)
is_map_total_n_df(x)
x |
Object to be tested. |
Sections 3, 6, and 7 of vignette("consistency-tests-in-depth")
discuss which function factories produce which functions, and which of
these new, factory-made functions return which kinds of tibbles.
These tibbles are what the is_map_*() functions test for. As an example,
function_map_seq() produces grim_map_seq(), and this new function
returns a tibble. is_map_df() and is_map_seq_df() return TRUE for
this tibble, but is_map_basic_df() and is_map_total_n_df() return
FALSE.
For an overview, see the table at the end of
vignette("consistency-tests-in-depth").
Logical (length 1).
# Example test output:
df1 <- grim_map(pigs1)
df2 <- grim_map_seq(pigs1)
df3 <- grim_map_total_n(tibble::tribble(
~x1, ~x2, ~n,
"3.43", "5.28", 90,
"2.97", "4.42", 103
))
# All three tibbles are mapper output:
is_map_df(df1)
is_map_df(df2)
is_map_df(df3)
# However, only `df1` is the output of a
# basic mapper...
is_map_basic_df(df1)
is_map_basic_df(df2)
is_map_basic_df(df3)
# ...only `df2` is the output of a
# sequence mapper...
is_map_seq_df(df1)
is_map_seq_df(df2)
is_map_seq_df(df3)
# ...and only `df3` is the output of a
# total-n mapper:
is_map_total_n_df(df1)
is_map_total_n_df(df2)
is_map_total_n_df(df3)
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