This R package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly.js and ggplot2 style. The generated visualizations can also be easily extended using ggplot2 syntax while staying interactive.
You can play the examples interactively here.
To install the current version from CRAN, use:
To install from development version on Github, use:
# Automatically generate interactive plot for results produced by `stats::prcomp` p <- autoplotly(prcomp(iris[c(1, 2, 3, 4)]), data = iris, colour = 'Species', label = TRUE, label.size = 3, frame = TRUE) # You can apply additional ggplot2 elements to the generated interactive plot p + ggplot2::ggtitle("Principal Components Analysis") + ggplot2::labs(y = "Second Principal Components", x = "First Principal Components") # Or apply additional plotly elements to the generated interactive plot p %>% plotly::layout(annotations = list( text = "Example Text", font = list( family = "Courier New, monospace", size = 18, color = "black"), x = 0, y = 0, showarrow = TRUE))