util_check_group_levels {dataquieR} | R Documentation |
Check data for observer levels
Description
Check data for observer levels
Usage
util_check_group_levels(
study_data,
group_vars,
min_obs_in_subgroup = -Inf,
max_obs_in_subgroup = +Inf,
min_subgroups = -Inf,
max_subgroups = +Inf
)
Arguments
study_data |
data.frame the data frame that contains the measurements |
group_vars |
variable the name of the observer, device or reader variable |
min_obs_in_subgroup |
integer from=0. optional argument if
|
max_obs_in_subgroup |
integer from=0. optional argument if
|
min_subgroups |
integer from=0. optional argument if a "group_var" is used. This argument specifies the minimum no. of subgroups (levels) included "group_var". If the variable defined in "group_var" has fewer subgroups it is split for analysis. |
max_subgroups |
integer from=0. optional argument if a "group_var" is used. This argument specifies the maximum no. of subgroups (levels) included "group_var". If the variable defined in "group_var" has more subgroups it is split for analysis. |
Value
modified study data frame
See Also
Other data_management:
util_assign_levlabs()
,
util_check_data_type()
,
util_compare_meta_with_study()
,
util_dichotomize()
,
util_merge_data_frame_list()
,
util_rbind()
,
util_remove_na_records()
,
util_replace_hard_limit_violations()
,
util_study_var2factor()
,
util_table_of_vct()
Examples
## Not run:
study_data <- prep_get_data_frame("study_data")
meta_data <- prep_get_data_frame("meta_data")
prep_prepare_dataframes(.label_col = LABEL)
util_check_group_levels(ds1, "CENTER_0")
dim(util_check_group_levels(ds1, "USR_BP_0", min_obs_in_subgroup = 400))
## End(Not run)