Form Class Intervals
Is Preview
Is factor check
Is datetime check
Fit models
iNZight data frame object
Check if object is a survey object (created by svydesign())
Pipe operator
Check if object is a survey object (either standard or replicate design)
Convert missing values to categorical variables
Open a New Graphics Device
Tidy-printing of the code attached to an object
Make unique variable names
Check if object is a replicate survey object (created by svrepdesign())
Load object(s) from an Rdata file
Reshaping dataset from wide to long or from long to wide
Save an object with, optionally, a (valid) name
Remove rows from data by row numbers
Rename the levels of a categorical variable
Anti value matching
Random sampling without replacement
NULL or operator
Import linked data into an inzdf object
iNZight Tidy Code
Interquartile range function for surveys
Select variables from a dataset
Join data with another dataset
Rank the data of numeric variables
Select
Read CSV with iNZight metadata
Validation Confrontation Summary
Read text as data
Rename column names
Reorder the levels of a categorical variable
Separate columns
Details of Validation Rule Results
List available sheets within a file
Get variable type name
Transform data of numeric variables
Read a data file
Get all variable types from data object
Sort data by variables
Standardize the data of a numeric variable
str_c operator
Convert variables to dates
Append rows to a dataset
Get Data's Code
Convert variables to date-time
Convert variables to categorical variables
Combine variables into one categorical variable
Aggregate data by categorical variables
Collapse data by values of a categorical variable
Add suffix to string
as_tibble
Create variable name
Create new variables
Filter data by levels of categorical variables
Filter
Extract date component from a date-time variable
Filter data by levels of numeric variables
Fit a survey design
Delete variables
Data Dictionaries
Is numeric check
Extract part of a datetimes variable (DEPRECATED)