aplot: Awesome 2d Plotting

Description Usage Arguments Value

Calculate mean/median and error of values in vector x

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aplot.statErr(x, fun = c("mean", "median"), err.fun = c("sd", "sem", "var",
  "ci"), ci = 0.95, num.bootstraps = 1, boot.err.mode = 1,
  groups = NULL, grand.stat = FALSE)

`x`	Vector of numbers
`fun`	Statistic. Either `mean` or `median`. Default is `mean`
`err.fun`	Error/uncertainty to calculate. May be `sd`, `sem`, `var`, or `ci`. `ci` returns the quantiles of the input values unless you are bootstrapping in which case the confidence interval of the bootstrap distribution is returned.
`ci`	Confidence interval to report when using `err.fun="ci"`
`num.bootstraps`	Number of boostrap iterations. If `num.bootstraps == 1` then no bootstrapping is performed.
`boot.err.mode`	Set to either 1, default or 2. Default behavior is to apply the error function, `err.fun`, to the bootstrap distribution. When set to 2 the error is bootstrapped and the mean of it's bootstrap distribution is returned.
`groups`	Grouping vector for values in `x`. If provided then this function operates on each group of values and returns a matrix of results.
`grand.stat`	If using `groups` this calculates the overall statistic and uncertainty by first calculating the group statistic and uncertainties then propagating that into the grand statistic.