Tools for 'iNZight'

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Documentation for package ‘iNZightTools’ version 2.0.1

• 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