Man pages for iNZightVIT/iNZightTools
Tools for 'iNZight'
| add_suffix | Add suffix to string |
| aggregate_data | Aggregate data by categorical variables |
| append_rows | Append rows to a dataset |
| as_tibble | as_tibble |
| 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 |
| dictionary | Data Dictionaries |
| 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... |
| is_svydesign | Check if object is a survey object (created by svydesign()) |
| is_svyrep | Check if object is a replicate survey object (created by... |
| 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 |
| operator_not_in | Anti value matching |
| operator_or_null | NULL or operator |
| pipe | Pipe operator |
| 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_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 |
| stringConcatenation | str_c operator |
| 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 |
