R: Tools for 'iNZight'

# Tools for 'iNZight'

## Documentation for package ‘iNZightTools’ version 2.0.3

- DESCRIPTION file

## Help Pages

%notin% | Anti value matching
%||% | NULL or operator
add_suffix | Add suffix to string
aggregate_data | Aggregate data by categorical variables
aggregate_dt | Aggregate data by categorical variables
append_rows | Append rows to a dataset
apply_dictionary | Data Dictionaries
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.inzdf_db | 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
get_dictionary | Data Dictionaries
has_dictionary | Data Dictionaries
inzdf | iNZight data frame object
inzdf.data.frame | iNZight data frame object
inzdf.SQLiteConnection | iNZight data frame object
inzdf.tbl_df | 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
Not In operator | Anti value matching
Or NULL operator | NULL or operator
print.dictionary | Data Dictionaries
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
[.dictionary | Data Dictionaries