Package: lvmisc 0.1.2

lvmisc: Veras Miscellaneous

Contains a collection of useful functions for basic data computation and manipulation, wrapper functions for generating 'ggplot2' graphics, including statistical model diagnostic plots, methods for computing statistical models quality measures (such as AIC, BIC, r squared, root mean squared error) and general utilities.

Authors:Lucas Veras [aut, cre]

lvmisc_0.1.2.tar.gz
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lvmisc_0.1.2.tgz(r-4.6-any)lvmisc_0.1.2.tgz(r-4.5-any)
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lvmisc_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lvmisc/json (API)

# Install 'lvmisc' in R:
install.packages('lvmisc', repos = c('https://verasls.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/verasls/lvmisc/issues

On CRAN:

Conda:

5.50 score 7 stars 1 packages 15 scripts 360 downloads 59 exports 40 dependencies

Last updated from:6f27a153c6. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE170
source / vignettesOK244
linux-releaseNOTE140
macos-releaseNOTE140
macos-oldrelNOTE126
windows-develNOTE97
windows-releaseNOTE94
windows-oldrelNOTE93
wasm-releaseOK127

Exports:%!in%abort_argument_classabort_argument_diff_lengthabort_argument_lengthabort_argument_typeabort_argument_valueabort_column_not_foundabort_no_method_for_classabort_package_not_installedaccuracyas_percentbiasbmibmi_catcenter_variableclclean_observationscompare_accuracycreate_projdivide_by_quantileerrorerror_abserror_abs_pcterror_pcterror_sqrget_cv_fixed_effget_cv_r2is_outlieris_percentlelnaloaloo_cvltluniquemean_errormean_error_absmean_error_abs_pctmean_error_pctmean_error_sqrmean_error_sqr_rootpapercentpercent_changeplot_bland_altmanplot_histplot_lineplot_modelplot_model_cooks_distanceplot_model_multicollinearityplot_model_qqplot_model_residual_fittedplot_model_scale_locationplot_qqplot_scatterr2repeat_baseline_valuestbvif

Dependencies:clicodetoolscowplotcpp11digestdplyrfarverfurrrfuturegenericsggplot2globalsgluegtableisobandlabelinglifecyclelistenvmagrittrparallellypillarpkgconfigpurrrR6RColorBrewerrlangrsampleS7scalessliderstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewarpwithr

Working with models
Model diagnostics | Model cross-validation | Model accuracy
Rendered fromworking_with_models.Rmdusingknitr::rmarkdown

Last update: 2021-02-16
Started: 2021-01-28

Accuracy indices
Element-wise | Error: error() | Absolute error: error_abs() | Percent error: error_pct() | Absolute percent error: error_abs_pct() | Squared error: error_sqr() | Average | Mean error: mean_error() | Mean absolute error: mean_error_abs() | Mean percent error: mean_error_pct() | Mean absolute percent error: mean_error_abs_pct() | Mean squared error: mean_error_sqr() | Root mean squared error: mean_error_sqr_root() | Bias: bias() | Limits of agreement: loa()
Rendered fromaccuracy_indices.Rmdusingknitr::rmarkdown

Last update: 2021-01-28
Started: 2020-06-09

Readme and manuals

Help Manual

Help pageTopics
Abort based on issues with function argumentabort_argument abort_argument_class abort_argument_diff_length abort_argument_length abort_argument_type abort_argument_value
Abort based on column not being found in a data frameabort_column_not_found
Abort method if class is not implementedabort_no_method_for_class
Abort if required package is not installedabort_package_not_installed
Model accuracyaccuracy accuracy.default accuracy.lm accuracy.lmerMod accuracy.lvmisc_cv
Biasbias
Compute body mass index (BMI)bmi
Classify body mass index (BMI) categorybmi_cat
Center variablecenter_variable
Clear the consolecl
Clean observationsclean_observations
Compare models accuracycompare_accuracy
Create a projectcreate_proj
Divide variable based on quantilesdivide_by_quantile
Errorerror
Absolute errorerror_abs
Absolute percent errorerror_abs_pct
Percent errorerror_pct
Squared errorerror_sqr
Extract information from the trained models from a cross-validationget_cv_fixed_eff get_cv_r2
Check whether value is outlieris_outlier
Limits of agreementloa
Leave-one-out cross-validationloo_cv loo_cv.default loo_cv.lm loo_cv.lmerMod
Last errorle lt
Number of elements in a vector.lna lunique
Mean errormean_error
Mean absolute errormean_error_abs
Mean absolute percent errormean_error_abs_pct
Mean percent errormean_error_pct
Mean square errormean_error_sqr
Root mean square errormean_error_sqr_root
Value matching%!in% notin
Print all rows of a data frame or tibblepa
'percent' vectoras_percent is_percent percent
Computes the percent changepercent_change
Create a Bland-Altman plotplot_bland_altman
Plot model diagnosticsplot_model plot_model_cooks_distance plot_model_multicollinearity plot_model_qq plot_model_residual_fitted plot_model_scale_location
Quick plottingplots plot_hist plot_line plot_qq plot_scatter
Compute R squaredr2 r2.default r2.lm r2.lmerMod
Repeat baseline levelsrepeat_baseline_values
Capture a backtracetb
Variance inflation factorvif vif.default vif.lm vif.lmerMod