%notin%                 Anti value matching
add_suffix              Add suffix to string
aggregateData           Aggregate data by categorical variables
aggregatedt             Aggregate datetimes
appendrows              Append row to the dataset
code                    Get Data's Code
collapseLevels          Collapse data by values of a categorical
                        variable
combineCatVars          Combine categorical variables into one
convertToCat            Convert numeric variables to categorical
convert_to_datetime     Convert to datetime
countMissing            Count missing values
createNewVar            Create new variables
create_varname          Create variable name
deleteVars              Delete variables
extract_part            Extract part of a datetimes variable
filter                  Filter
filterLevels            Filter data by levels of a categorical
                        variables
filterNumeric           Filter data by levels of a numeric variables
filterRandom            Random sampling without replacement
filterRows              Filter data by row numbers
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())
joindata                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
missingToCat            Convert missing values to categorical variables
newdevice               Open a New Graphics Device
print_code              Tidy-printing of the code attached to an object
rankVars                Rank the data of a numeric variables
read_dictionary         Data dictionaries
read_meta               Read CSV with iNZight metadata
read_text               Read text as data
renameLevels            Rename the levels of a categorical variable
renameVars              Rename column names
reorderLevels           Reorder a categorical
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
selectVars              Select variables from a dataset
separate                Separate columns
sheets                  List available sheets within a file
smart_read              Read a data file
sortVars                Sort data by variables
stackVars               Stack variables
standardizeVars         Standardize the data of a numeric variable
survey_IQR              Interquartile range function for surveys
tidy_all_code           iNZight Tidy Code
transformVar            Transform data of a numeric variable
unite                   Unite columns in a dataset
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
