R/plotnonp.R

Defines functions plotnonp

Documented in plotnonp

plotnonp <- function(data, x = 2, y = c(3, 4, 5, 7, 8), ylim = NULL, lty = c(1, 2, 
  3, 2, 3), cols = rep(1, length(y)), month, year, step = 12, xlab, ylab, ...) {
  if (is.data.frame(data)) 
    block <- data else block <- read.table(data, header = TRUE)
  
  if (is.character(x)) 
    x <- match(x, dimnames(block)[[2]])
  if (is.character(y)) 
    y <- match(y, dimnames(block)[[2]])
  
  if (missing(xlab)) 
    xlab <- dimnames(block)[[2]][x]
  if (missing(ylab)) 
    ylab <- paste("f(", xlab, ")")
  
  if (is.null(ylim)) 
    ylim <- c(min(block[, y], na.rm = TRUE), max(block[, y], na.rm = TRUE))
  
  plot(block[, x], block[, y[1]], ylim = ylim, lty = lty[1], col = cols[1], type = "l", 
    xlab = xlab, ylab = ylab, axes = FALSE, ...)
  box()
  axis(2)
  
  if (!missing(month) & !missing(year)) {
    start <- block[1, x] - month + 1
    stop <- max(block[, x] + 1, na.rm = TRUE)
    pos <- seq(start, stop, step)
    label <- (pos - pos[1])/step + year
    if (nrow(block) <= 24) {
      if (step == 12) {
        label2 <- c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", 
          "Sep", "Oct", "Nov", "Dec")
      } else if (step == 4) {
        label2 <- c("Jan", "Apr", "Jul", "Oct")
      } else if (step == 2) {
        label2 <- c("Jan", "Jul")
      } else {
        label2 <- FALSE
      }
      label2 <- rep(label2, length.out = nrow(block) + month - 1)
      label2 <- label2[month:(nrow(block) + month - 1)]
      start2 <- block[1, x]
      stop2 <- max(block[, x], na.rm = TRUE)
      pos2 <- seq(start2, stop2, 1)
      axis(side = 1, at = pos2, labels = label2, mgp = c(3, 0.5, 0))
      axis(side = 1, at = pos, labels = label, mgp = c(3, 1.5, 0))
    } else axis(side = 1, at = pos, labels = label)
  } else axis(1)
  
  if (length(y) > 1) {
    for (i in 2:length(y)) lines(block[, x], block[, y[i]], lty = lty[i], col = cols[i])
  }
  
  return(invisible())
}

Try the BayesX package in your browser

Any scripts or data that you put into this service are public.

BayesX documentation built on Aug. 24, 2019, 9:03 a.m.