%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 |