Tools for 'iNZight'

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Documentation for package ‘iNZightTools’ version 1.13.0

• DESCRIPTION file.

Help Pages

%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
apply_dictionary	Data dictionaries
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
filter.inzdf_db	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
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
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.dictionary	Data dictionaries
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
[.dictionary	Data dictionaries