general.scatter.simple: Function to generate a simple scatter plot
In jhooge/BioViz: BiomarkerVizard

Description Usage Arguments Value Author(s)

Function to generate a simple scatter plot

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general.scatter.simple(data, by = NULL, fun = "mean", smooth.fun = "auto",
  smooth.formula = y ~ x, density = FALSE, title = NULL, xlab = NULL,
  ylab = NULL, legend.pos = "none")

`data`	A dataframe with at least three columns (x,y and a facetting variable) (Required)
`by`	Grouping variable (Default: NULL)
`fun`	Function for statistical aggregation function (Default: "mean")
`smooth.fun`	Smoothing method (function) to use, eg. "lm", "glm", "gam", "loess", "rlm". (Default: "auto") For method = "auto" the smoothing method is chosen based on the size of the largest group (across all panels). loess is used for less than 1,000 observations; otherwise gam is used with formula = y ~ s(x, bs = "cs"). Somewhat anecdotally, loess gives a better appearance, but is O(n^2) in memory, so does not work for larger datasets.
`smooth.formula`	Formula to use in smoothing function, eg. y ~ x, y ~ poly(x, 2), y ~ log(x) (Default: y ~ x)
`density`	Display density contour (Default: FALSE)
`title`	Plot Title (Default: NULL)
`xlab`	x-axis label (Default: NULL)
`ylab`	y-axis label (Default: NULL)
`legend.pos`	(Default: "none")