sigd3h: Significance Plot with D3 (horizontal)
In davidaarmstrong/daviz: Miscellaneous Data Visualization Functions

Description Usage Arguments Value

View source: R/daviz_functions.r

Makes an errorbar plot using the D3.js library with a hover-over effect that highlights all cagtegories that are significantly differnet than the one being hovered over. The orientation of this plot is horizontal rather than vertical

sigd3h(
  object,
  term,
  fname,
  height = 500,
  width = 625,
  return_iFrame = TRUE,
  level = 0.95,
  ylab = paste0("Effect of ", term),
  axfont = 12,
  labfont = 12,
  lmexpand = 0.15,
  labfam = c("sans-serif", "serif"),
  colors = c("#B80000", "#000000", "#000000"),
  ptSize = c(7, 5),
  lineSize = c(3, 1.5),
  names = NULL,
  order = c("size-descending", "size-ascending", "natural")
)

`object`	A model that has a categorical predictor. The function uses both `ggpredict` from the ggeffects package and `factorplot` from the factorplot package (with the variable given by the `factor.var=term` argument), so the object must be amenable to these manipulations. Alternatively, it could be an mcmc object in which case all columns will be plotted.
`term`	The term from the model to be plotted.
`fname`	Name of the file to which the html code will be written.
`height`	Height of the plot in pixels
`width`	Width of the plot in pixels
`return_iFrame`	Logical indicating whether an `iframe` should be returned to hold the plot. If `FALSE` only the html file is produced and the function prpduces no other visible output.
`level`	Confidence level at which to do the test (or in the mcmc case, credibility level for the credible intervals).
`ylab`	Label to put on y-axis.
`axfont`	Font size for axis tick mark labels (in px).
`labfont`	Font size for y-axis label (in px).
`lmexpand`	Factor by which the left-margin should be expanded to accommodate tick mark labels.
`labfam`	Font-family for y-axis label (must be one of "serif" or "sans-serif").
`colors`	Vector of three colors the first for the selected items, the second for the un-selected items and the third for when no points are hovered over.
`ptSize`	Vector of two point sizes - the first for selected observations and the second for unselected ones.
`lineSize`	Vector of line widths - the first for selected observations and the second for unselected ones.
`names`	An optional vector of names for the parameters.
`order`	How should parameters be organized by size-ascending, size-descending or natural (i.e., the order in the data).