#' @title One Way Analysis of Variance
#' @description \code{oneway} computes a one-wauy analysis of variance
#' and includes grouip level summary statistics.
#' @param formula an object of class formula, relating the
#' dependent variable to the grouping variable.
#' @param data a data frame containing the variables in the model
#' @return a list with 2 elements:
#' \item{oneway}{a list with the lm results}
#' \item{summarystats}{a data frame with the summary statistics}
#' @details
#' This function computes a standard one-wauy ANOVA, means, and
#' standard deviations. Missing values are handled via listwise
#' deletion.
#' @author Rob Kabacoff <rkabacoff@@wesleyan.edu>
#' @examples
#' mileage <- oneway(hwy ~ class, cars)
#' summary(mileage)
#' print(mileage)
#' plot(mileage)
#' @rdname oneway
#' @export
oneway <- function(formula, data) {
# listwise deletion of missing values
data_complete <- na.omit(data)
# anova
fit <- lm(formula, data_complete)
stats <- aggregate(formula,
data,
function(x) c(n = length(x), mean = mean(x), sd = sd(x)))
result <- list(anova = fit, summarystats = stats)
class(result) <- c("oneway", "list")
return(result)
}
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