Function reference • lvmisc

Data computation / manipulation
`percent_change()`	Computes the percent change
`clean_observations()`	Clean observations
`divide_by_quantile()`	Divide variable based on quantiles
`repeat_baseline_values()`	Repeat baseline levels
`bmi()`	Compute body mass index (BMI)
`bmi_cat()`	Classify body mass index (BMI) category
Stats
`center_variable()`	Center variable
`is_outlier()`	Check whether value is outlier
`r2()`	Compute R squared
`vif()`	Variance inflation factor
`loo_cv()`	Leave-one-out cross-validation
Accuracy indices
`accuracy()`	Model accuracy
`compare_accuracy()`	Compare models accuracy
Element-wise
`error()`	Error
`error_abs()`	Absolute error
`error_abs_pct()`	Absolute percent error
`error_pct()`	Percent error
`error_sqr()`	Squared error
Average
`mean_error()`	Mean error
`mean_error_abs()`	Mean absolute error
`mean_error_abs_pct()`	Mean absolute percent error
`mean_error_pct()`	Mean percent error
`mean_error_sqr()`	Mean square error
`mean_error_sqr_root()`	Root mean square error
`bias()`	Bias
`loa()`	Limits of agreement
Plotting
`plot_bland_altman()`	Create a Bland-Altman plot
`plot_model()` `plot_model_residual_fitted()` `plot_model_scale_location()` `plot_model_qq()` `plot_model_cooks_distance()` `plot_model_multicollinearity()`	Plot model diagnostics
`plot_scatter()` `plot_line()` `plot_hist()` `plot_qq()`	Quick plotting
Operators
`%!in%`	Value matching
Signalling errors Helper functions to signal errors with better messages and metadata.
`abort_argument_type()` `abort_argument_class()` `abort_argument_length()` `abort_argument_diff_length()` `abort_argument_value()`	Abort based on issues with function argument
`abort_column_not_found()`	Abort based on column not being found in a data frame
`abort_no_method_for_class()`	Abort method if class is not implemented
`abort_package_not_installed()`	Abort if required package is not installed
Percent vector class
`percent()` `is_percent()` `as_percent()`	`percent` vector
Interactive Functions shortcuts designed to easy interactive use
`lunique()` `lna()`	Number of elements in a vector.
`pa()`	Print all rows of a data frame or tibble
`tb()`	Capture a backtrace
`lt()` `le()`	Last error
`cl()`	Clear the console
Create a project
`create_proj()`	Create a project

Reference

Data computation / manipulation

Stats

Accuracy indices

Element-wise

Average

Plotting

Operators

Signalling errors

Percent vector class

Interactive

Create a project