util_no_value_labels function

Select really numeric variables

Reduce resp_vars to those, which are either float or integer without VALUE_LABELS , i.e. likely numeric but not a factor

util_no_value_labels(resp_vars, meta_data, label_col, warn = TRUE, stop = TRUE)

Arguments

• resp_vars: variable list len=1-2. the name of the continuous measurement variable
• meta_data: data.frame the data frame that contains metadata attributes of study data
• label_col: variable attribute the name of the column in the metadata with labels of variables
• warn: logical warn about removed variable names
• stop: logical stop on no matching resp_var

Returns

character vector of matching resp_vars.

See Also

Other metadata_management: util_dist_selection(), util_find_free_missing_code(), util_find_var_by_meta(), util_get_var_att_names_of_level(), util_get_vars_in_segment(), util_looks_like_missing(), util_validate_known_meta(), util_validate_missing_lists()