Interactive Variable Importance Plot — draw

Plot variable importance using plotly

Usage

draw_varimp(
  x,
  names = NULL,
  main = NULL,
  type = c("bar", "line"),
  xlab = NULL,
  ylab = NULL,
  plot_top = 1,
  orientation = "v",
  line_width = 12,
  labelify = TRUE,
  col = NULL,
  alpha = 1,
  palette = rtemis_palette,
  mar = NULL,
  font_size = 16,
  axis_font_size = 14,
  theme = rtemis_theme,
  showlegend = TRUE,
  filename = NULL,
  file_width = 500,
  file_height = 500,
  file_scale = 1,
  ...
)

Arguments

x: Numeric vector: Input.
names: Vector, string: Names of features.
main: Character: Main title.
type: Character: "bar" or "line".
xlab: Character: x-axis label.
ylab: Character: y-axis label.
plot_top: Integer: Plot this many top features.
orientation: Character: "h" or "v".
line_width: Numeric: Line width.
labelify: Logical: If TRUE, labelify feature names.
col: Vector, colors: Single value, or multiple values to define bar (feature) color(s).
alpha: Numeric: Transparency.
palette: Character: Name of rtemis palette to use.
mar: Vector, numeric, length 4: Plot margins in pixels (NOT inches).
font_size: Integer: Overall font size to use (essentially for the title at this point).
axis_font_size: Integer: Font size to use for axis labels and tick labels.
theme: Output of an rtemis theme function (list of parameters) or theme name. Use themes() to print available themes.
showlegend: Logical: If TRUE, show legend.
filename: Character: Path to save the plot image.
file_width: Numeric: Width of the saved plot image.
file_height: Numeric: Height of the saved plot image.
file_scale: Numeric: Scale of the saved plot image.
...: Additional arguments passed to theme.

Value

A plotly object.

Details

A simple plotly wrapper to plot horizontal barplots, sorted by value, which can be used to visualize variable importance, model coefficients, etc.

Author

EDG

Examples

if (FALSE) { # \dontrun{
# made-up data
x <- rnorm(10)
names(x) <- paste0("Feature_", seq(x))
draw_varimp(x)
draw_varimp(x, orientation = "v")
} # }