util_observations_in_subgroups {dataquieR} | R Documentation |
Utility function observations in subgroups
Description
This function uses !is.na
to count the number of non-missing observations in subgroups of
the data (list) and in a set of user defined response variables. In some applications it is
required that the number of observations per e.g. factor level is higher than a user-defined
minimum number.
Usage
util_observations_in_subgroups(x, rvs)
Arguments
x |
data frame |
rvs |
variable names |
Value
matrix of flags
See Also
Other robustness_functions:
util_as_valid_missing_codes()
,
util_check_one_unique_value()
,
util_correct_variable_use()
,
util_empty()
,
util_ensure_character()
,
util_ensure_in()
,
util_ensure_suggested()
,
util_expect_scalar()
,
util_fix_rstudio_bugs()
,
util_is_integer()
,
util_is_numeric_in()
,
util_is_valid_missing_codes()
,
util_match_arg()
,
util_only_NAs()
,
util_stop_if_not()
,
util_warn_unordered()
[Package dataquieR version 2.1.0 Index]