Not In operator         Anti value matching
Or NULL operator        NULL or operator
add_suffix              Add suffix to string
aggregate_data          Aggregate data by categorical variables
append_rows             Append rows to a dataset
code                    Get Data's Code
collapse_cat            Collapse data by values of a categorical
                        variable
combine_vars            Combine variables into one categorical variable
convert_to_cat          Convert variables to categorical variables
convert_to_date         Convert variables to dates
convert_to_datetime     Convert variables to date-time
create_varname          Create variable name
create_vars             Create new variables
delete_vars             Delete variables
extract_dt_comp         Extract date component from a date-time
                        variable
extract_part            Extract part of a datetimes variable
                        (DEPRECATED)
filter                  Filter
filter_cat              Filter data by levels of categorical variables
filter_num              Filter data by levels of numeric variables
fitDesign               Fit a survey design
fitModel                Fit models
form_class_intervals    Form Class Intervals
inzdf                   iNZight data frame object
is_cat                  Is factor check
is_dt                   Is datetime check
is_num                  Is numeric check
is_preview              Is Preview
is_survey               Check if object is a survey object (either
                        standard or replicate design)
is_svydesign            Check if object is a survey object (created by
                        svydesign())
is_svyrep               Check if object is a replicate survey object
                        (created by svrepdesign())
join_data               Join data with another dataset
load_linked             Import linked data into an 'inzdf' object
load_rda                Load object(s) from an Rdata file
make_names              Make unique variable names
missing_to_cat          Convert missing values to categorical variables
newdevice               Open a New Graphics Device
print_code              Tidy-printing of the code attached to an object
random_sample           Random sampling without replacement
rank_vars               Rank the data of numeric variables
read_dictionary         Data Dictionaries
read_meta               Read CSV with iNZight metadata
read_text               Read text as data
remove_rows             Remove rows from data by row numbers
rename_levels           Rename the levels of a categorical variable
rename_vars             Rename column names
reorder_levels          Reorder the levels of a categorical variable
reshape_data            Reshaping dataset from wide to long or from
                        long to wide
save_rda                Save an object with, optionally, a (valid) name
select                  Select
select_vars             Select variables from a dataset
separate_var            Separate columns
sheets                  List available sheets within a file
smart_read              Read a data file
sort_vars               Sort data by variables
standardize_vars        Standardize the data of a numeric variable
survey_IQR              Interquartile range function for surveys
tidy_all_code           iNZight Tidy Code
transform_vars          Transform data of numeric variables
validation_details      Details of Validation Rule Results
validation_summary      Validation Confrontation Summary
vartype                 Get variable type name
vartypes                Get all variable types from data object
