Tools for 'iNZight'

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Documentation for package ‘iNZightTools’ version 1.12.2

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%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
as_survey as_survey method
as_survey.inzsvyspec as_survey method
as_survey_spec Parse survey to survey spec
as_survey_spec.survey.design Parse survey to survey spec
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
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
import_survey Import survey information from a file
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_rda Load object(s) from an Rdata file
make_names Make unique variable names
make_survey Make a survey object
missingToCat Convert missing values to categorical variables
newdevice Open a New Graphics Device
print.inzsvyspec Print iNZight Survey Spec
print_code Tidy-printing of the code attached to an object
rankVars Rank the data of a numeric variables
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
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