R/btmixPlot.R

Defines functions xyplot.btmix histogram.btmix

## histogram method reusing flexmix's plot() method
histogram.btmix <- function(x, data, root = TRUE, ...) {
  if(!missing(data)) warning("argument 'data' is ignored")
  ## just calling plot() within an S3 method does not seem to do the right dispatch
  getMethod("plot", c(x = "flexmix", y = "missing"))(as(x, "flexmix"), root = root, ...)
}

## xyplot method
xyplot.btmix <- function(x, data,
  component = NULL, plot.type = c("multiple", "single"),
  auto.key = NULL, type = "b", lty = NULL, xlab = "Objects", ylab = "Worth parameters",
  panel = NULL, scales = NULL, ...)
{
  ## process data
  y <- worth(x)
  if(!missing(data)) warning("'data' argument is ignored")
  nitem <- nrow(y)
  ymean <- mean(y[, 1L])
  lab <- labels(x)

  ## select items/components
  if(is.null(component)) component <- 1:NCOL(y)
  y <- y[, component, drop = FALSE]

  ## set up auxiliary data.frame
  d <- data.frame(
    y = as.vector(y),
    x = rep(1:nitem, length(component)),
    z = factor(rep(component, each = nitem),
      levels = component, labels = paste("Comp.", component))
  )
  
  ## graphical arguments
  plot.type <- match.arg(plot.type)
  if(plot.type == "single") {
    f <- y ~ x
    groups <- ~ z
    if(is.null(lty)) lty <- trellis.par.get("superpose.line")$lty
  } else {
    f <- y ~ x | z
    groups <- NULL
    if(is.null(lty)) lty <- trellis.par.get("superpose.line")$lty[2]
  }
  if(is.null(auto.key)) auto.key <- plot.type == "single"
  if(is.null(scales)) scales <- list(x = list(at = 1:nitem, alternating = 1, labels = lab))
  if(is.null(panel)) panel <- function(x, y, ...) {
    panel.xyplot(x, y, ...)
    panel.abline(h = ymean, reference = TRUE)
  }

  ## call xyplot() formula method
  xyplot(f, groups = groups, data = d,
    type = type, lty = lty, xlab = xlab, ylab = ylab,
    auto.key = auto.key, scales = scales, panel = panel, ...)
}

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psychomix documentation built on Jan. 31, 2020, 1:06 a.m.