R

`oneway` Fit One-way Model

Fits a One-way model to univariate data grouped by a factor, the result often being displayed using rfs

oneway(formula, data, location=mean, spread=function(x) sqrt(var(x)))

`formula`	formula of the form `y ~ x` where `y` is the numeric response and `x` is the grouping factor
`data`	data frame in which the model is to be evaluated
`location`	function or numeric giving the location statistic to be used for centering the observations, e.g. `median`, 0 (to avoid centering).
`spread`	function or numeric giving the spread statistic to be used for scaling the observations, e.g. `sd`, 1 (to avoid scaling).

A list with components

`location`	vector of locations for each group.
`spread`	vector of spreads for each group.
`fitted.values`	vector of locations for each observation.
`residuals`	residuals (`y - fitted.values`).
`scaled.residuals`	residuals scaled by `spread` for their group