R/xMeansBy.R

In cwendorf/easiOrigin: easiOrigin

# Estimation Approach to Statistical Inference
## Means (with By Option)

### Descriptives

.descMeansBy <- function(...) {
  UseMethod(".descMeansBy")
}

.descMeansBy.default <- function(frame, by, ...) {
  MixedData <- data.frame(by, frame)
  SplitData <- split(MixedData[-1], by)
  results <- lapply(SplitData, .descMeans)
  results
}

.descMeansBy.formula <- function(formula, by, ...) {
  Group <- eval(formula[[3]])
  Outcome <- eval(formula[[2]])
  FactorialData <- data.frame(by, Group, Outcome)
  SplitData <- split(FactorialData, by)
  results <- lapply(SplitData, function(x) with(x, .descMeans(Outcome ~ Group)))
  results
}

descMeansBy <- function(..., main = NULL, digits = 3) {
  results <- .descMeansBy(...)
  if (is.null(main)) {
    main <- "Descriptive Statistics for the Data"
  }
  main <- paste(main, names(results), sep = ": ")
  .formatList(results, main, digits = digits)
}

### Confidence Intervals

.ciMeansBy <- function(...) {
  UseMethod(".ciMeansBy")
}

.ciMeansBy.default <- function(frame, by, conf.level = .95, ...) {
  MixedData <- data.frame(by, frame)
  SplitData <- split(MixedData[-1], by)
  results <- lapply(SplitData, .ciMeans, conf.level = conf.level)
  results
}

.ciMeansBy.formula <- function(formula, by, conf.level = .95, ...) {
  Group <- eval(formula[[3]])
  Outcome <- eval(formula[[2]])
  FactorialData <- data.frame(by, Group, Outcome)
  SplitData <- split(FactorialData, by)
  results <- lapply(SplitData, function(x) with(x, .ciMeans(Outcome ~ Group, conf.level = conf.level)))
  results
}

ciMeansBy <- function(..., main = NULL, digits = 3) {
  results <- .ciMeansBy(...)
  if (is.null(main)) {
    main <- "Confidence Intervals for the Means"
  }
  main <- paste(main, names(results), sep = ": ")
  .formatList(results, main, digits = digits)
}

### Null Hypothesis Significance tests

.nhstMeansBy <- function(...) {
  UseMethod(".nhstMeansBy")
}

.nhstMeansBy.default <- function(frame, by, mu = 0, ...) {
  MixedData <- data.frame(by, frame)
  SplitData <- split(MixedData[-1], by)
  results <- lapply(SplitData, .nhstMeans, mu = mu)
  results
}

.nhstMeansBy.formula <- function(formula, by, mu = 0, ...) {
  Group <- eval(formula[[3]])
  Outcome <- eval(formula[[2]])
  FactorialData <- data.frame(by, Group, Outcome)
  SplitData <- split(FactorialData, by)
  results <- lapply(SplitData, function(x) with(x, .nhstMeans(Outcome ~ Group, mu = mu)))
  results
}

nhstMeansBy <- function(..., main = NULL, digits = 3) {
  results <- .nhstMeansBy(...)
  if (is.null(main)) {
    main <- "Hypothesis Tests for the Means"
  }
  main <- paste(main, names(results), sep = ": ")
  .formatList(results, main, digits = digits)
}