Linear mixed models in a web browser

vlm_app() starts the application of VetResearchLMM: choose a data set of the book (or upload a CSV file), fit a linear mixed model with random effects and a residual covariance structure, and obtain least-squares means, estimates and contrasts, predictions of random effects, the analysis of variance with expected mean squares, and a comparison of covariance structures. Every example of the book can be loaded with one click. Each result page shows an interpretation computed from the results (vlm_interpret()), the output as R prints it, formatted tables, plots and the R code that repeats the analysis, each with a Copy button.

Usage

vlm_app(launch.browser = interactive(), ...)

vlm_app_object()

Arguments

launch.browser

passed to shiny::runApp(): TRUE (default in an interactive session) opens the application in the web browser.

...

further arguments to shiny::runApp(), such as port.

Value

vlm_app() is called for its side effect and returns the value of shiny::runApp() when the application is closed; vlm_app_object() returns the application object (for shiny::runApp(), shiny::testServer() or deployment on a server).

Details

The application needs the suggested packages shiny, bslib and DT. Plots are sent to the browser as WebP images when magick is installed (PNG otherwise) and can be downloaded as PNG, PDF or WebP. Estimates and contrasts are typed as in SAS: label: effect coefficients effect coefficients, one per line, with rows of a contrast separated by commas.

See also

vlm_fit, vlm_lsmeans, vlm_ems

Other VetResearchLMM utilities: autoplot.vlm_result(), vlm_cite(), vlm_interpret(), vlm_notation(), vlm_reference(), vlm_save(), vlm_theme()

Author

Muhammad Yaseen (myaseen208@gmail.com)

Examples

if (interactive()) {
  vlm_app(
      launch.browser = TRUE
    )
}