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replace_null_statistic.Rd
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replace_null_statistic.R
\
name
{
replace_null_statistic
}
\
alias
{
replace_null_statistic
}
\
title
{
Replace
NULL
Statistics
with
Specified
Value
}
\
usage
{
replace_null_statistic(
x
,
value
=
NA
,
rows
=
TRUE
)
}
\
arguments
{
\
item
{
x
}{(\
code
{
data.frame
})\
cr
an
ARD
data
frame
of
class
'
card
'
}
\
item
{
value
}{(
usually
a
\
code
{
scalar
})\
cr
The
value
to
replace
\
code
{
NULL
}
values
with.
Default
is
\
code
{
NA
}
.
}
\
item
{
rows
}{(\
code
{\
link
[
rlang
:
args_data_masking
]{
data
-
masking
}})\
cr
Expression
that
return
a
logical
value
,
and
are
defined
in
terms
of
the
variables
in
\
code
{
.data
}
.
Only
rows
for
which
the
condition
evaluates
to
\
code
{
TRUE
}
are
replaced.
Default
is
\
code
{
TRUE
},
which
applies
to
all
rows.
}
}
\
value
{
an
ARD
data
frame
of
class
'
card
'
}
\
description
{
When
a
statistical
summary
function
errors
,
the
\
code
{
"
stat
"
}
column
will
be
\
code
{
NULL
}
.
It
is
,
however
,
sometimes
useful
to
replace
these
values
with
a
non
-
\
code
{
NULL
}
value
,
e.g.
\
code
{
NA
}
.
}
\
examples
{
#
the quantile functions error because the input is character, while the median function returns NA
data.frame
(
x
=
rep_len(
NA_character_
,
10
))
|
>
ard_summary(
variables
=
x
,
statistic
=
~
continuous_summary_fns(c(
"
median
"
,
"
p25
"
,
"
p75
"
))
)
|
>
replace_null_statistic(
rows
=
!
is.null(
error
))
}
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