%!in% |
Value matching |
abort_argument |
Abort based on issues with function argument |
abort_argument_class |
Abort based on issues with function argument |
abort_argument_diff_length |
Abort based on issues with function argument |
abort_argument_length |
Abort based on issues with function argument |
abort_argument_type |
Abort based on issues with function argument |
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 |
accuracy |
Model accuracy |
accuracy.default |
Model accuracy |
accuracy.lm |
Model accuracy |
accuracy.lmerMod |
Model accuracy |
accuracy.lvmisc_cv |
Model accuracy |
as_percent |
'percent' vector |
bias |
Bias |
bmi |
Compute body mass index (BMI) |
bmi_cat |
Classify body mass index (BMI) category |
center_variable |
Center variable |
cl |
Clear the console |
clean_observations |
Clean observations |
compare_accuracy |
Compare models accuracy |
create_proj |
Create a project |
divide_by_quantile |
Divide variable based on quantiles |
error |
Error |
error_abs |
Absolute error |
error_abs_pct |
Absolute percent error |
error_pct |
Percent error |
error_sqr |
Squared error |
get_cv_fixed_eff |
Extract information from the trained models from a cross-validation |
get_cv_r2 |
Extract information from the trained models from a cross-validation |
is_outlier |
Check whether value is outlier |
is_percent |
'percent' vector |
le |
Last error |
lna |
Number of elements in a vector. |
loa |
Limits of agreement |
loo_cv |
Leave-one-out cross-validation |
loo_cv.default |
Leave-one-out cross-validation |
loo_cv.lm |
Leave-one-out cross-validation |
loo_cv.lmerMod |
Leave-one-out cross-validation |
lt |
Last error |
lunique |
Number of elements in a vector. |
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 |
notin |
Value matching |
pa |
Print all rows of a data frame or tibble |
percent |
'percent' vector |
percent_change |
Computes the percent change |
plots |
Quick plotting |
plot_bland_altman |
Create a Bland-Altman plot |
plot_hist |
Quick plotting |
plot_line |
Quick plotting |
plot_model |
Plot model diagnostics |
plot_model_cooks_distance |
Plot model diagnostics |
plot_model_multicollinearity |
Plot model diagnostics |
plot_model_qq |
Plot model diagnostics |
plot_model_residual_fitted |
Plot model diagnostics |
plot_model_scale_location |
Plot model diagnostics |
plot_qq |
Quick plotting |
plot_scatter |
Quick plotting |
r2 |
Compute R squared |
r2.default |
Compute R squared |
r2.lm |
Compute R squared |
r2.lmerMod |
Compute R squared |
repeat_baseline_values |
Repeat baseline levels |
tb |
Capture a backtrace |
vif |
Variance inflation factor |
vif.default |
Variance inflation factor |
vif.lm |
Variance inflation factor |
vif.lmerMod |
Variance inflation factor |