| extract_hr {vivainsights} | R Documentation |
Extract HR attribute variables
Description
This function uses a combination of variable class, number of unique values, and regular expression matching to extract HR / organisational attributes from a data frame.
Usage
extract_hr(data, max_unique = 50, exclude_constants = TRUE, return = "names")
Arguments
data |
A data frame to be passed through. |
max_unique |
A numeric value representing the maximum number of unique values to accept for an HR attribute. Defaults to 50. |
exclude_constants |
Logical value to specify whether single-value HR
attributes are to be excluded. Defaults to |
return |
String specifying what to return. This must be one of the following strings:
See |
Value
A different output is returned depending on the value passed to the return
argument:
-
"names": character vector identifying all the names of HR variables present in the data. -
"vars": data frame containing all the columns of HR variables present in the data.
See Also
Other Support:
any_idate(),
camel_clean(),
check_inputs(),
cut_hour(),
extract_date_range(),
heat_colours(),
is_date_format(),
maxmin(),
pairwise_count(),
read_preamble(),
rgb2hex(),
totals_bind(),
totals_col(),
tstamp(),
us_to_space(),
wrap()
Other Data Validation:
check_query(),
flag_ch_ratio(),
flag_em_ratio(),
flag_extreme(),
flag_outlooktime(),
hr_trend(),
hrvar_count(),
hrvar_count_all(),
hrvar_trend(),
identify_churn(),
identify_holidayweeks(),
identify_inactiveweeks(),
identify_nkw(),
identify_outlier(),
identify_privacythreshold(),
identify_shifts(),
identify_tenure(),
track_HR_change(),
validation_report()
Examples
pq_data %>% extract_hr(return = "names")
pq_data %>% extract_hr(return = "vars")