dssSmooth2d: Create a combined smooth scatterplot
In sib-swiss/dsSwissKnifeClient: DataSHIELD Tools and Utilities - client side

dssSmooth2d

R Documentation

Create a combined smooth scatterplot

Description

Like smoothScatter, it creates scatterplots with smoothed densities colour representation

Usage

dssSmooth2d(
  x,
  y,
  npoints = 128,
  shades = 8,
  draw.image = FALSE,
  labels = TRUE,
  axes = TRUE,
  categories = NULL,
  colour.pool = c("#377eb8", "#e41a1c", "#4daf4a", "#984ea3", "#ff7f00", "#a65628",
    "#f781bf", "#999999"),
  emphasize_level = 0,
  type = "combine",
  async = FALSE,
  datasources = NULL
)

Arguments

`x`	y characters, names of the x and y coordinates for the plot. If x and y are dataframe columns they must be specified with the dollar sign notation ('DF$col')
`npoints`	number of equally spaced grid points in both directions (same as nbin in smoothScatter)
`shades`	number of shades per plot (default 8)
`draw.image`	boolean specifying if a plot should be drawn. In either case a bitmap is returned that can be plotted subsequently with a call too image(). Default is FALSE.
`labels`	a boolean, should labels (the names of the 2 vectors) be printed in the plot?
`axes`	a boolean, should axes be drawn?
`categories`	a character the name of a factor. If provided, the plot will be split by the levels of this factor
`colour.pool`	vector of colours that will be picked sequentially, one for each category. The default contains 8 values, if there are more levels, the colours will be recycled.
`emphasize_level`	a number, which level should be emphasized (stronger colour, more opaque, layered on top)
`type`	a character, "combine" (the default) or "split"
`async`	a logical, see datashield.aggregate
`datasources`	a list of opal objects obtained after logging into the opal servers (see datashield.login)