radial_plotly: Three-way radial comparison Polar Plot (using plotly)

Description

This function creates an interactive plotly object which maps differential expression onto a polar coordinates.

Usage

radial_plotly(
  polar,
  type = 1,
  colours = polar@scheme,
  label_rows = NULL,
  arrow_length = 80,
  label_size = 14,
  colour_code_labels = FALSE,
  label_colour = "black",
  grid_colour = "grey80",
  grid_width = 1,
  marker_size = 7,
  marker_alpha = 0.8,
  marker_outline_colour = "white",
  marker_outline_width = 0.5,
  axis_title_size = 16,
  axis_label_size = 10,
  axis_colour = "black",
  axis_width = 2,
  ...
)

Value

Returns a plotly plot featuring variables on a tri-axis radial graph

Arguments

polar: A 'volc3d' object with the p-values between groups of interest and polar coordinates created by polar_coords, deseq_polar or voom_polar.
type: Numeric value whether to use scaled (Z-score) or unscaled (fold change) as magnitude. Options are 1 = Z-score (default) or 2 = unscaled/fold change.
colours: A vector of colour names or hex triplets for the non-significant points and each of the six groups.
label_rows: A vector of row names or numbers to label.
arrow_length: The length of label arrows (default = 80).
label_size: Font size of labels/annotations (default = 14)
colour_code_labels: Logical whether label annotations should be colour coded. If FALSE label_colour is used.
label_colour: HTML colour of annotation labels if not colour coded.
grid_colour: The colour of the grid (default="grey80")
grid_width: The width of the grid lines (default=1)
marker_size: Size of the markers (default = 6)
marker_alpha: Opacity for the markers (default = 0.7)
marker_outline_colour: Colour for marker outline (default = white)
marker_outline_width: Width for marker outline (default = 0.5)
axis_title_size: Font size for axis titles (default = 16)
axis_label_size: Font size for axis labels (default = 10)
axis_colour: The colour of the grid axes and labels (default="black")
axis_width: The width of the axis lines (default=2)
...: Optional parameters passed to polar_grid e.g. r_axis_ticks or axis_angle

Details

This function builds a layered plotly object. By default this produces an SVG output, but this can be slow with 1000s of points. For large number of points we recommend switching to webGL by piping to toWebGL() as shown in the examples.

References

Lewis, Myles J., et al. (2019). Molecular portraits of early rheumatoid arthritis identify clinical and treatment response phenotypes. Cell reports, 28:9

Examples

Run this code

data(example_data)
syn_polar <- polar_coords(outcome = syn_example_meta$Pathotype,
                          data = t(syn_example_rld))

radial_plotly(polar = syn_polar, label_rows = c("COBL"))

## Faster webGL version for large numbers of points
library(plotly)
radial_plotly(polar = syn_polar, label_rows = c("COBL")) %>%
  toWebGL()

Run the code above in your browser using DataLab

Data Engineering and BI courses are free this week!