R/labcurve.s

Defines functions largest.empty putKeyEmpty putKey rlegendg labcurve

Documented in labcurve largest.empty putKey putKeyEmpty rlegendg

labcurve <- function(curves, labels=names(curves), 
                     method=NULL, keys=NULL, keyloc=c('auto','none'),
                     type='l', step.type=c('left','right'),
                     xmethod=if(any(type=='s')) 'unique' else 'grid', 
                     offset=NULL,
                     xlim=NULL, tilt=FALSE, window=NULL,
                     npts=100, cex=NULL, 
                     adj='auto', angle.adj.auto=30, 
                     lty=pr$lty, lwd=pr$lwd, col.=pr$col,
                     transparent=TRUE, arrow.factor=1, 
                     point.inc=NULL, opts=NULL, key.opts=NULL, 
                     empty.method=c('area','maxdim'), 
                     numbins=25, 
                     pl=!missing(add), add=FALSE, 
                     ylim=NULL, xlab="", ylab="",
                     whichLabel=1:length(curves),
                     grid=FALSE, xrestrict=NULL, ...)
{
  if(pl && !add) {
    plot.new(); par(new=TRUE)  # enables strwidth etc.
  }
  
  oxpd <- par('xpd')
  par(xpd=NA)
  on.exit(par(xpd=oxpd))
  
  gfun <- ordGridFun(grid)    ## see Misc.s
  gun  <- gfun$unit

  diffu <- function(v) diff(unclass(v))  # mainly for POSIXt
  ## also look at difftime
  
  mcurves <- missing(curves)

  pr <- par(c('cex','col','lwd','lty'))

  if(!mcurves)
    {
      nc <- length(curves)
      type <- rep(type, length=nc)
      lty  <- rep(lty,  length=nc)
      lwd  <- rep(lwd,  length=nc)
      col. <- rep(col., length=nc)
      for(i in 1:nc)
        {
          z <- curves[[i]]
          if(pl && !add)
            {
              if(i==1)
                {
                  xlm <- range(z[[1]],na.rm=TRUE)
                  ylm <- range(z[[2]],na.rm=TRUE)
                }
              else
                {
                  xlm <- range(xlm,z[[1]],na.rm=TRUE)
                  ylm <- range(ylm,z[[2]],na.rm=TRUE)
                }
            }
          if(length(a <- z$type)) type[i] <- a
          if(length(a <- z$lty))  lty[i]  <- a
          if(length(a <- z$lwd))  lwd[i]  <- a
          if(length(a <- z$col))  col.[i] <- a
        }
    }

  ## Optionally bring arguments from opts as if they were listed outside opts
  ## This is used when opts is passed through to a function calling labcurve
  if(length(opts) && is.list(opts))
    {
      names.opts <- names(opts)
      full.names <- c('labels','method','keys','keyloc','type','step.type',
                      'xmethod','offset','xlim','tilt','window','npts','cex',
                      'adj','angle.adj.auto','lty','lwd','col.','n.auto.keyloc',
                      'transparent','arrow.factor','point.inc','key.opts',
                      'empty.method','numbins','ylim','xlab','ylab')
      i <- charmatch(names.opts, full.names, -1)
      if(any(i < 1))
        stop(paste('Illegal elements in opts:',
                   paste(names.opts[i < 1], collapse=' ')))
    
      for(j in 1:length(opts)) assign(full.names[i[j]],opts[[j]],immediate=TRUE)
    }

  if(mcurves)  nc <- length(labels)
  else if(!is.logical(labels) && nc != length(labels))
    stop('length of labels is not equal to # curves')

  type <- rep(type, length=nc)
  lty  <- rep(lty,  length=nc)
  lwd  <- rep(lwd,  length=nc)
  col. <- rep(col., length=nc)

  if(pl)
    {
      if(mcurves) stop('curves must be given if pl=T')
    
      if(!add)
        {
          if(!length(xlim)) xlim <- xlm
          if(!length(ylim)) ylim <- ylm
      
          namcur <- names(curves[[1]])
          if(!is.expression(xlab) && xlab=='' && length(namcur))
            xlab <- namcur[1]
      
          if(!is.expression(ylab) && ylab=='' && length(namcur))
            ylab <- namcur[2]
      
      if(grid) stop("grid=TRUE when pl=TRUE is not yet implemented")
      else
        plot(0, 0, xlim=xlim, ylim=ylim, xlab=xlab, ylab=ylab,
             type='n', xaxt='n')
      
          if(inherits(xlim,'POSIXt') || inherits(xlim,'POSIXct'))
            axis.POSIXct(1)
          else if(inherits(xlim,'Date')) axis.Date(1)
          else axis(1)
            
          pr <- par(c('cex','col','lwd','lty'))
        }
    
      for(i in 1:nc)
        {
          z <- curves[[i]]
          gfun$lines(z[[1]], z[[2]], type=type[i], lty=lty[i],
                     lwd=lwd[i], col=col.[i], xpd=FALSE)
        }
    }
  
  if(length(method) && method=='none') return(invisible())

  pr <- parGrid(grid)
  usr <- pr$usr; uin <- pr$uin
  
  is.keys    <- length(keys) > 0
  lines.keys <- length(keys)==1 && is.character(keys) && keys=='lines'

  if(!length(method)) {
    if(is.keys)
      method <- if(is.numeric(keys) || lines.keys) 'on top'
      else 'offset'
    else method <- 'offset'
  }

  ## Expand abbreviations for method - couldn't use match.arg
  possible.methods <- c('offset','on top','arrow','mouse','locator')
  i <- charmatch(method, possible.methods, -1)
  if(i < 1)
    stop(paste('method must be one of ',
               paste(possible.methods,collapse=' ')))
  
  method <- possible.methods[i]
  
  if(!length(cex))  cex <- pr$cex

  if(mcurves && method %nin% c('mouse','locator')) 
    stop('must specify curves unless method="mouse" or "locator"')

  if(!lines.keys && is.keys && length(keys) != nc) 
    stop('number of keys must = number of curves')

  if(method %in% c('mouse','locator')) {
    if(adj=='auto') adj <- .5
    
    xt <- yt <- numeric(nc)
    for(i in 1:nc) {
      if(i %in% whichLabel) {
        cat('\nPosition pointer to desired center of curve label and click for',
            labels[i],'\n')
        lab.pos <- locator(1)
        xt[i] <- lab.pos$x
        yt[i] <- lab.pos$y
        gfun$text(lab.pos, labels[i], cex=cex, adj=adj, col=col.[i],
                  ...)
      }
    }
    
    return(invisible(list(x=xt, y=yt, offset=0,
                          adj=adj, cex=cex, angle=0, col=col., lwd=lwd,
                          key.opts=key.opts, ...)))
  }

  if(is.character(keyloc)) keyloc <- match.arg(keyloc)

  empty.method <- match.arg(empty.method)

  if(!length(offset))
    offset <- if(grid) unit(.75,"strheight","m") else
  strheight('m','user', cex)*.75

  if(!length(xlim)) xlim <- usr[1:2]
  if(!length(ylim)) ylim <- usr[3:4]

  if(nc==1) {
    ci <- curves[[1]]
    xx <- ci[[1]]; yy <- ci[[2]]
    s <- is.finite(xx+yy)
    xx <- xx[s];  yy <- yy[s]
    imid <- trunc((length(xx)+1)/2)
    adj <- if(is.character(adj))0.5 else adj
    if(any(whichLabel==1))
      gfun$text(xt <- gun(xx[imid]),
                yt <- gun(yy[imid])+offset,
                labels, 
                cex=cex, adj=adj, col=col., ...)
    
    return(invisible(list(x=xt, y=yt, offset=offset,
                          adj=adj, cex=cex, col=col., lwd=lwd, angle=0, 
                          key.opts=key.opts, ...)))
  }
  
  if(xmethod %nin% c('grid','unique')) 
    stop('xmethod must be "grid" or "unique"')
  
  step.type <- match.arg(step.type)
  
  if(is.character(adj)) {
    adj.does.vary     <- TRUE
    adj.needs.to.vary <- TRUE
    adj <- rep(.5, nc)
  }
  else {
    adj.does.vary     <- length(adj) > 1
    adj.needs.to.vary <- FALSE
    adj <- rep(adj, length=nc)
  }

  if(xmethod=='grid') xs <- seq(xlim[1],xlim[2],length=npts) else {
    xs <- unlist(sapply(curves, function(z)z[[1]]))
    xs <- sort(unique(xs[!is.na(xs)]))
    xs <- xs[xs>=xlim[1] & xs<=xlim[2]]
  }

  ys <- matrix(NA, nrow=length(xs), ncol=nc)
  rng <- matrix(NA, nrow=2, ncol=nc)

  for(i in 1:nc) {
    ci <- curves[[i]]
    xx <- ci[[1]]; yy <- ci[[2]]
    s <- is.finite(xx+yy)
    xx <- xx[s]
    y <- approx(xx, yy[s], xout=xs,
                f=if(step.type=='left') 0 else 1,
                method=if(type[i]=='l') "linear" else "constant")$y
    
    y <- pmax(pmin(y,usr[4]),usr[3])
    ## Where one curve is not defined, consider this gap to have an ordinate
    ## that is far from the other curves so labels where be placed where
    ## the other curves haven't started or after they've ended
    y[is.na(y)] <- 1e10
    ys[,i] <- y
    rxx <- range(xx)
    if(length(xrestrict)) {
      rxx[1] <- max(rxx[1],xrestrict[1])
      rxx[2] <- min(rxx[2],xrestrict[2])
    }
    
    rng[,i] <- rxx
    ## Save real range of each x-vector so candidates for labeling
    ## will be where the curve really exists
  }
  
  if(method=='on top' && is.keys && is.numeric(keys)) {
    ## Draw periodic symbols
    sym <- function(curve, pch, inc, offset, type, step.type, col.,
                    grid, gfun) {
      x <- curve[[1]]; y <- curve[[2]]
      s <- is.finite(x+y)
      x <- x[s]; y <- y[s]
      if(length(x) < 2)
        stop("when specifying numeric keys (pch) you must have >=2 data points")
      
      lim <- range(x)
      xx <-
        if(grid)
          convertX(gun(seq(lim[1],lim[2],by=inc) + offset),
                   'native', valueOnly=TRUE)
        else
          seq(lim[1], lim[2], by=inc) + offset
      
      if(length(xx)>1) xx <- xx[-1]
      
      xx <- xx[xx<=lim[2]]
      if(length(xx)==0) 
        warning('curve was too short to mark with a symbol.\nMay want to change point.inc or xmethod for labcurve')
      else {
        yy <- approx(x, y, xout=xx,
                     method=if(type=='l') 'linear' else 'constant', 
                     f=if(step.type=='left') 0 else 1)$y
        
        gfun$points(xx, yy, pch=pch, col=col.)
      }
    }
    
    if(!length(point.inc)) point.inc <- diffu(xlim)/5
    
    for(i in 1:nc)
      sym(curves[[i]], keys[i], point.inc, (i-1)*point.inc/nc,
          type[i], step.type, col.=col.[i], grid, gfun)
    
    xt <- yt <- NULL
  }
  else {
    xt <- yt <- direction <- numeric(nc)
    angle <- rep(0,nc)
    
    g <- function(x) {
      ## finds min(abs(x)) but keeps original sign
      ax <- abs(x)
      if(all(is.na(ax)))
        return(NA)
      
      w <- min(ax, na.rm=TRUE)
      (x[ax==w])[1]   #use first occurrence
    }
    
    for(i in 1:nc) {
      yi <- ys[,i]
      yi[xs<rng[1,i] | xs>rng[2,i]] <- NA
      diffmat <- ys[,-i,drop=FALSE] - yi
      mindiff <- apply(diffmat, 1, g)
      z <- abs(mindiff)==max(abs(mindiff),na.rm=TRUE)
      maxid   <- min(c(1:length(mindiff))[z], na.rm=TRUE)
      xt[i] <- xs[maxid]
      yt[i] <- ys[maxid,i]
      if(!is.na(mindiff[maxid])) 
        direction[i] <- 1-2*(mindiff[maxid]>0)
      
      yto <- yt[i] + direction[i] *
        (if(grid) convertY(offset,'native',valueOnly=TRUE)
        else offset)
      
      if(!is.na(yto)) 
        if(yto >= usr[4] || yto <= usr[3])
          direction[i] <- -direction[i]
      
      ## Find slope of curve i at xt[i]
      if(tilt || adj.needs.to.vary) {
        angle[i] <- if(type[i]=='s') 0
        else {
          ci <- curves[[i]]
          xx <- ci[[1]]; yy <- ci[[2]]
          s <- is.finite(xx+yy)
          w <-
            if(length(window))
              window
            else {
              nch <-
                if(lines.keys) nchar(labels[i])
                else if(is.keys)
                  1*is.numeric(keys) +
                    nchar(keys[i])*is.character(keys)
                else
                  nchar(labels[i])
              
              w <-
                if(grid)
                  nch*convertX(unit(.75,"strwidth","m"),
                               'native',valueOnly=TRUE)
                else
                  nch*strwidth('m','user',cex)
            }
          
          yy <- approx(xx[s], yy[s], xout=c(xt[i]-w/2,xt[i]+w/2),
                       rule=2)$y
          slope <- diff(yy)/w
          180*atan(slope*uin[2]/uin[1])/pi
        }
      }
      if(adj.needs.to.vary) {
        adj[i] <-
          if(type[i]=='s')
            1*(direction[i]<0)
          else {
            if(is.na(angle[i]) || abs(angle[i])<=angle.adj.auto)
              .5
            else if((direction[i]<0 && slope>0) || 
                    (direction[i]>0 && slope<0)) 0 else 1
          }
      }
    }
    
    if(!tilt) angle[] <- 0
    
    if(!lines.keys && method=='offset' && (!is.logical(labels) || labels)) {
      if(is.keys) {
        if(is.numeric(keys))
          for(i in 1:nc)
            gfun$points(xt[i], (gun(yt) + direction*offset)[i], 
                        pch=keys[i], col=col.[i])
        else if(i %in% whichLabel)
          gfun$text(xt, gun(yt) + direction*offset,
                    keys, cex=cex,  
                    adj=adj[1], col=col., ...)
      } else {
        if(tilt || adj.does.vary)
          for(i in whichLabel)
            gfun$text(xt[i], gun(yt[i])+direction[i]*offset, 
                      labels[i], cex=cex, srt=angle[i], 
                      adj=adj[i], col=col.[i],...)
        else
          gfun$text(xt, gun(yt)+direction*offset, labels, 
                    cex=cex, adj=adj[1], col=col., ...)
      }
    }
    retlist <- list(x=xt, y=yt, offset=direction*offset,
                    adj=adj, cex=cex, col=col., lwd=lwd, angle=if(tilt) angle, 
                    key.opts=key.opts, ...)
  }
  
  if(method %in% c('on top','arrow') && (!is.logical(labels) || labels)) {
    retlist <- list(x=xt, y=yt, offset=0, 
                    adj=.5, cex=cex, col=col., lwd=lwd, angle=0, 
                    key.opts=key.opts, ...)
    
    if(method == 'on top' && !lines.keys) {
      if(is.keys) {
        if(is.character(keys))
          gfun$text(xt, yt, keys, cex=cex, col=col., adj=.5, ...)
        ## numeric keys (periodic plotting symbols) already handled above
      }
      else
        gfun$text(xt, yt, labels, cex=cex, col=col., adj=.5, ...)
    }
    else if(method=='arrow') {
      ydelta <- if(grid) unit(1/17,'npc') else diffu(ylim)/17
      
      xdelta <- if(grid) unit(1/26,'npc') else diffu(xlim)/26
      
      lab.pos <- list(x=gun(xt) + xdelta*arrow.factor,
                      y=gun(yt) + ydelta*arrow.factor)

      gfun$arrows(gun(xt)+xdelta*.6*arrow.factor,
                  gun(yt)+ydelta*.6*arrow.factor,
                  xt,yt,open=TRUE,size=.06,col=col.)
      gfun$text(lab.pos, labels, cex=cex, col=col., ...)
    }
  }
  
  if(is.keys && (!is.character(keyloc) || keyloc!='none')) {
    ## Make legend
    s <- whichLabel
    if(is.character(keyloc) && keyloc=='auto') {
      ## Find emptiest spot for drawing legend by finding
      ## center of largest empty rectangle large enough to hold 
      ## this rectangle
      Xs <- rep(xs, nc)
      Ys <- as.vector(ys)
      putKeyEmpty(Xs, Ys,
                  labels=if(lines.keys || is.numeric(keys))
                  labels[s]
                  else
                  paste(keys,'    ',labels, sep='')[s],
                  
                  pch=if(is.numeric(keys))
                  keys[s],
                  
                  lty=lty[s], lwd=lwd[s], cex=cex, col=col.[s],
                  transparent=transparent, plot=TRUE,
                  key.opts=key.opts, xlim=xlim, ylim=ylim, grid=grid)
      
    } else putKey(keyloc,
                  labels=if(lines.keys || is.numeric(keys))
                  labels[s]
                  else
                  paste(keys,'    ',labels, sep='')[s],
                  
                  pch=if(is.numeric(keys))
                  keys[s],
                  
                  lty=lty[s], lwd=lwd[s], cex=cex, col=col.[s],
                  transparent=transparent, plot=TRUE,
                  key.opts=key.opts, grid=grid)
  }
  
  invisible(retlist)
}


## Version of legend for R that implements plot=FALSE, adds grid=TRUE
## Also defaults lty, lwd, pch to NULL and checks for length>0 rather
## than missing(), so it's easier to deal with non-applicable parameters
##
## rlegendg is better to use when grid is in effect.  In R 2.0, you
## can't use strwidth etc. after a lattice drawing has been rendered	
rlegendg <- function(x, y, legend, col=pr$col[1], lty=NULL,
                     lwd=NULL, pch=NULL, cex=pr$cex[1], other=NULL)
  {
    pr <- par()
    if(is.list(x)) {
      y <- x[[2]]
      x <- x[[1]]
    }
    
    do.lines  <- (length(lty) && any(lty > 0)) || length(lwd)
    do.points <- length(pch)
    cmd <- NULL
    if(do.lines)
      cmd$lines <- list(col=col, lty=lty, lwd=lwd)
    
    if(do.points)
      cmd$points<- list(col=col, pch=pch, cex=cex)
    
    cmd$text <- list(lab=legend)
    if(length(other))
      cmd <- c(cmd, other)
    
    draw.key(cmd, draw=TRUE,
             vp=viewport(x=unit(x,'npc'),y=unit(y,'npc')))
    invisible()
  }

rlegend <- function (x, y, legend, fill, col = "black", lty=NULL, lwd=NULL,
                     pch=NULL, angle = NULL,  
                     density = NULL, bty = "o", bg = par("bg"),
                     pt.bg = NA, cex = 1, 
                     xjust = 0, yjust = 1, x.intersp = 1, y.intersp= 1,
                     adj = 0, text.width = NULL,
                     merge = do.lines && has.pch, trace = FALSE, 
                     ncol = 1, horiz = FALSE, plot=TRUE, grid=FALSE,
                     ...)
  {
    gfun <- ordGridFun(grid)   ## see Misc.s
    
    if (is.list(x)) {
      if (!missing(y)) {
        if (!missing(legend)) 
          stop("`y' and `legend' when `x' is list (need no `y')")
        
        legend <- y
      }
      
      y <- x$y
      x <- x$x
    }
    else if (missing(y))  stop("missing y")
    
    if (!is.numeric(x) || !is.numeric(y)) stop("non-numeric coordinates")
    
    if ((nx <- length(x)) <= 0 || nx != length(y) || nx > 2) 
      stop("invalid coordinate lengths")
    
    xlog <- par("xlog")
    ylog <- par("ylog")
    rect2 <- function(left, top, dx, dy, ...) {
      r <- left + dx
      if (xlog) {
        left <- 10^left
        r <- 10^r
      }
      
      b <- top - dy
      if (ylog) {
        top <- 10^top
        b <- 10^b
      }
      
      gfun$rect(left, top, r, b, angle = angle, density = density, 
                ...)
    }
    
    segments2 <- function(x1, y1, dx, dy, ...) {
      x2 <- x1 + dx
      if (xlog) {
        x1 <- 10^x1
        x2 <- 10^x2
      }
      
      y2 <- y1 + dy
      if (ylog) {
        y1 <- 10^y1
        y2 <- 10^y2
      }
      
      gfun$segments(x1, y1, x2, y2, ...)
    }
    
    points2 <- function(x, y, ...) {
      if (xlog) x <- 10^x
      
      if (ylog) y <- 10^y
      
      gfun$points(x, y, ...)
    }
    
    text2 <- function(x, y, ...) {
      if (xlog) x <- 10^x
      
      if (ylog) y <- 10^y
      
      gfun$text(x, y, ...)
    }
    
    if (trace) 
      catn <- function(...) do.call("cat", c(lapply(list(...), 
                                                    formatC), list("\n")))
    pr  <- parGrid(grid)
    cin <- pr$cin
    Cex <- (if(length(unique(cex)) > 1)
            mean(cex,na.rm=TRUE)
    else
            cex) * pr$cex
    
    if (!length(text.width))
      text.width <- max(strwidth(legend, units = "user", cex = cex))
    else if (!is.numeric(text.width) || text.width < 0) 
      stop("text.width must be numeric, >= 0")
    
    xc <- Cex * xInch(cin[1], warn.log = FALSE, grid=grid)
    yc <- Cex * yInch(cin[2], warn.log = FALSE, grid=grid)
    xchar <- xc
    yextra <- yc * (y.intersp - 1)
    ymax <- max(yc, strheight(legend, units = "user", cex = cex))
    ychar <- yextra + ymax
    if (trace) 
      catn("  xchar=", xchar, "; (yextra,ychar)=", c(yextra, ychar))
    
    if (!missing(fill))
      {
        xbox <- xc * 0.8
        ybox <- yc * 0.5
        dx.fill <- xbox
      }
    
    do.lines <- (length(lty) && any(lty > 0)) || length(lwd)
    n.leg <- length(legend)
    n.legpercol <-
      if (horiz) {
        if (ncol != 1) 
          warning(paste("horizontal specification overrides: Number of columns :=", 
                        n.leg))
        
        ncol <- n.leg
        1
      }
      else  ceiling(n.leg/ncol)
    
    if (has.pch <- length(pch)) {
      if (is.character(pch) && nchar(pch[1]) > 1) {
        if (length(pch) > 1) 
          warning("Not using pch[2..] since pch[1] has multiple chars")
        
        np <- nchar(pch[1])
        pch <- substr(rep(pch[1], np), 1:np, 1:np)
      }
      
      if (!merge) 
        dx.pch <- x.intersp/2 * xchar
    }
    
    x.off <- if (merge) -0.7 else 0
    
    ## if (xlog) x <- log10(x)    25Oct13
    ## if (ylog) y <- log10(y)
    
    if (nx == 2) {
      x <- sort(x)
      y <- sort(y)
      left <- x[1]
      top <- y[2]
      w <- diff(x)
      h <- diff(y)
      w0 <- w/ncol
      x <- mean(x)
      y <- mean(y)
      if (missing(xjust)) xjust <- 0.5
      
      if (missing(yjust)) yjust <- 0.5
    }
    else {
      h <- n.legpercol * ychar + yc
      w0 <- text.width + (x.intersp + 1) * xchar
      if (!missing(fill)) 
        w0 <- w0 + dx.fill
      
      if (has.pch && !merge) 
        w0 <- w0 + dx.pch
      
      if (do.lines) 
        w0 <- w0 + (2 + x.off) * xchar
      
      w <- ncol * w0 + 0.5 * xchar
      left <- x - xjust * w
      top <- y + (1 - yjust) * h
    }
    
    if (bty != "n") {
      if (trace) 
        catn("  rect2(", left, ",", top, ", w=", w, ", h=", 
             h, "...)", sep = "")
      
      if(plot)
        rect2(left, top, dx = w, dy = h, col = bg)  ## FEH
    }
    
    xt <- left + xchar +
      (w0 * rep(0:(ncol - 1), rep(n.legpercol, ncol)))[1:n.leg]
    yt <- top - (rep(1:n.legpercol, ncol)[1:n.leg] - 1) * ychar - 
      0.5 * yextra - ymax
    if (!missing(fill)) {
      fill <- rep(fill, length.out = n.leg)
      if(plot)
        rect2(left = xt, top = yt + ybox/2, dx = xbox, dy = ybox, 
              col = fill)
      
      xt <- xt + dx.fill
    }
    
    if (has.pch || do.lines) 
      col <- rep(col, length.out = n.leg)
    
    if (do.lines) {
      seg.len <- 2
      ok.l <-
        if (!length(lty)) {
          lty <- 1
          TRUE
        } else
          lty > 0
      
      if (!length(lwd)) lwd <- pr$lwd
      
      lty <- rep(lty, length.out = n.leg)
      lwd <- rep(lwd, length.out = n.leg)
      if (trace) 
        catn("  segments2(", xt[ok.l] + x.off * xchar, ",", 
             yt[ok.l], ", dx=", seg.len * xchar, ", dy=0, ...)", 
             sep = "")
      
      if(plot)
        segments2(xt[ok.l] + x.off * xchar, yt[ok.l], dx = seg.len * 
                  xchar, dy = 0, lty = lty[ok.l], lwd = lwd[ok.l], 
                  col = col[ok.l])
      
      xt <- xt + (seg.len + x.off) * xchar
    }
    
    if (has.pch) {
      pch <- rep(pch, length.out = n.leg)
      pt.bg <- rep(pt.bg, length.out = n.leg)
      ok <- is.character(pch) | pch >= 0
      x1 <- (if (merge) 
             xt - (seg.len/2) * xchar
      else
             xt)[ok]
      
      y1 <- yt[ok]
      if (trace) 
        catn("  points2(", x1, ",", y1, ", pch=", pch[ok], 
             "...)")
      
      if(plot) points2(x1, y1, pch = pch[ok], col = col[ok], cex = cex, 
                       bg = pt.bg[ok])
      
      if (!merge) xt <- xt + dx.pch
      }
    
    xt <- xt + x.intersp * xchar
    if(plot)
      text2(xt, yt, labels = legend,
            adj = adj,
            cex = min(cex, na.rm=TRUE))
    
    invisible(list(rect = list(w = w, h = h, left = left, top = top), 
                   text = list(x = xt, y = yt)))
  }

putKey <- function(z, labels, type=NULL,
                   pch=NULL, lty=NULL, lwd=NULL,
                   cex=par('cex'), col=rep(par('col'),nc),
                   transparent=TRUE, plot=TRUE, key.opts=NULL,
                   grid=FALSE)
{
  nc <- length(labels)
  if(!length(pch)) pch <- rep(NA, nc)
  
  if(!length(lty)) lty <- rep(NA, nc)
  
  if(!length(lwd)) lwd <- rep(NA, nc)
  
  pp <- !is.na(pch)
  lp <- !is.na(lty) | !is.na(lwd)
  lwd <- ifelse(is.na(lwd), par('lwd'), lwd)
  
  if(!length(type)) type <- ifelse(!(pp | lp), 'n',
                                   ifelse(pp & lp, 'b',
                                          ifelse(pp, 'p', 'l')))
  
  pch <- ifelse(is.na(pch) & type!='p' & type!='b', NA, pch)
  
  lty <- ifelse(is.na(lty) & type=='p', NA, lty)
  
  lwd <- ifelse(is.na(lwd) & type=='p', 1, lwd)
  cex <- ifelse(is.na(cex) & type!='p' & type!='b', 1, cex)

  if(any(is.na(lwd)))
    stop("lwd can not be NA for type='l' or 'b'")
  
  if(any(is.na(cex)))
    stop("cex can not be NA for type='p' or 'b'")
  
  m <- list()
  m[[1]] <- as.name(if(grid) 'draw.key' else 'rlegend')
  
  if(!grid) {
    m$x <- z[[1]]; m$y <- z[[2]]
  }

  if(grid) {
    w <- list(text=list(labels, col=col))
    if(!(all(is.na(lty)) & all(is.na(lwd)))) {
      lns <- list()
      if(!all(is.na(lty))) lns$lty <- lty
      
      if(!all(is.na(lwd))) lns$lwd <- lwd
      
      lns$col <- col
      w$lines <- lns
    }
    
    if(!all(is.na(pch))) w$points <- list(pch=pch, col=col)
    
    m$key <- c(w, key.opts)
    m$draw <- plot
    if(plot)
      m$vp <- viewport(x=unit(z[[1]], 'native'),
                       y=unit(z[[2]], 'native'))
      
    z <- eval(as.call(m))
    size <-
      if(plot) c(NA,NA)
      else 
        c(convertUnit(grobWidth(z), 'native', 'x', 'location', 'x',
                      'dimension', valueOnly=TRUE)[1],
          convertUnit(grobHeight(z), 'native', 'y', 'location', 'y',
                      'dimension', valueOnly=TRUE)[1])
    
    return(invisible(size))
  }
  else {
    m$legend <- labels
    m$xjust <- m$yjust <- .5
    m$plot <- plot
    m$col <- col
    m$cex <- cex
    if(!all(is.na(lty))) m$lty <- lty
    
    if(!all(is.na(lwd))) m$lwd <- lwd
    
    if(!all(is.na(pch))) m$pch <- pch
    
    if(length(key.opts)) m[names(key.opts)] <- key.opts
    
    w <- eval(as.call(m))$rect
    return(invisible(c(w$w[1], w$h[1])))
  }
  
  m$transparent <- transparent
  m$corner <- c(.5,.5)
  m$plot   <- plot
  m$type   <- type

  if(!plot) labels <- substring(labels, 1, 10)
  
  ## key gets length wrong for long labels
  m$text <- list(labels, col=col)
  if(all(type=='p'))
    m$points <- list(pch=pch, cex=cex, col=col)
  else
    m$lines <-
      if(any(type!='l'))
        list(lty=lty, col=col, lwd=lwd, pch=pch, cex=cex)
      else
        list(lty=lty, col=col, lwd=lwd)
  
  if(length(key.opts))
    m[names(key.opts)] <- key.opts
  
  invisible(eval(as.call(m)))  ## execute key(....)
}


putKeyEmpty <- function(x, y, labels, type=NULL,
                        pch=NULL, lty=NULL, lwd=NULL,
                        cex=par('cex'), col=rep(par('col'),nc),
                        transparent=TRUE, plot=TRUE, key.opts=NULL,
                        empty.method=c('area','maxdim'), 
                        numbins=25, 
                        xlim=pr$usr[1:2], ylim=pr$usr[3:4],
                        grid=FALSE)
{ 
  nc <- length(labels)
  empty.method <- match.arg(empty.method)

  pr <- parGrid(grid)
  uin <- pr$uin

  uin <- 1  ## already in x,y units
  
  z <- putKey(list(0, 0), labels, type, pch, lty, lwd, cex, col,
              transparent=transparent, plot=FALSE,
              key.opts=key.opts, grid=grid)/uin
  ## /uin converts to x,y units

  ## Find center of largest empty rectangle large enough to hold 
  ## this rectangle
  s  <- is.finite(x + y)
  if(length(xlim))
    s <- s & (x >= xlim[1] & x <= xlim[2])
  
  if(length(ylim))
    s <- s & (y >= ylim[1] & y <= ylim[2])
  
  x <- x[s]
  y <- y[s]
  keyloc <- largest.empty(x, y, xlim=xlim, ylim=ylim,
                          width=z[1], height=z[2],
                          method=empty.method, numbins=numbins, grid=grid)
  if(is.na(keyloc$x))
    {
      cat('No empty area large enough for automatic key positioning.  Specify keyloc or cex.\n')
      cat('Width and height of key as computed by key(), in data units:',
          format(z),'\n')
      return(keyloc)
    }
  else if(plot) putKey(keyloc, labels, type,
                       pch, lty, lwd, cex, col, transparent, plot=TRUE,
                       key.opts=key.opts, grid=grid)
  
  invisible(keyloc)
}


largest.empty <- function(x, y, 
                          width=0, height=0, 
                          numbins=25,
                          method=c('exhaustive','rexhaustive','area','maxdim'),
                          xlim=pr$usr[1:2], ylim=pr$usr[3:4],
                          pl=FALSE, grid=FALSE)
{
  method <- match.arg(method)
  if(missing(xlim) || missing(ylim)) pr <- parGrid(grid)
  isna <- is.na(x + y)
  if(any(isna)) {
    x <- x[!isna]
    y <- y[!isna]
  }
  n <- length(x)
  o <- order(y)
  x <- x[o]
  y <- y[o]
  
  itype  <- 3 * (method=='exhaustive') + 4 * (method=='rexhaustive') +
    1 * (method=='area') + 2 * (method=='maxdim')
  storage.mode(x) <- storage.mode(y) <- storage.mode(xlim) <-
    storage.mode(ylim) <- 'double'
  storage.mode(numbins) <- storage.mode(itype) <- storage.mode(n) <- 'integer'
  if(method %in% c('area','maxdim')) {
    storage.mode(width) <- storage.mode(height) <- 'double' }

  if(method %in% c('area','maxdim')) {
    a <- 
      .Fortran(F_largrec, x, y, n,
               xlim, ylim, 
               width, height, numbins, itype,
               rx=double(2), ry=double(2))
    x <- a$rx
    if(any(x > 1e29)) {
      warning('no empty rectangle was large enough')
      return(list(x=NA, y=NA, rect=list(x=rep(NA,4),y=rep(NA,4)), area=NA))
    }
    y <- a$ry
  } else if(method=='rexhaustive') {
    ## Author: Hans Borchers <[email protected]>
    maxEmptyRect <- function(ax, ay, x, y, width=0, height=0) {
      n <- length(x)
      d <- sort(c(ax, x))
      D <- diff(d)
      m <- which.max(D)
      ## check vertical slices
      mgap <- D[m]
      maxr <- mgap * (ay[2] - ay[1])
      maxR <- c(d[m], ay[1], d[m+1], ay[2])
      ## o <- order(y)
      ## X <- x[o]; Y <- y[o]
      for (i in 1:n) {
        tl <- ax[1]; tr <- ax[2]
        if (i < n) {
          for (j in (i+1):n) {
            if (x[j] > tl && x[j] < tr) {
              ## check horizontal slices (j == i+1)
              ## and (all) rectangles above (x[i], y[i])
              area <- (tr-tl)*(y[j]-y[i])
              if (area > maxr && ((tr - tl) > width) &&
                  ((y[j] - y[i]) > height)) {
                maxr <- area
                maxR <- c(tl, y[i], tr, y[j])
              }
              if (x[j] > x[i]) tr <- x[j]
              else             tl <- x[j]
            }
          }
        }
        ## check open rectangles above (x[i], y[i])
        area <- (tr-tl)*(ay[2]-y[i])
        if (area > maxr && ((tr - tl) > width) &&
            ((ay[2] - y[i]) > height )){
          maxr <- area
          maxR <- c(tl, y[i], tr, ay[2])
        }
        ## check open rectangles below (x[i], y[i])
        ri <- min(ax[2], x[y < y[i] & x > x[i]])
        li <- max(ax[1], x[y < y[i] & x < x[i]])
        area <- (ri - li)*(ay[2] - y[i])
        if (area > maxr && ((ri - li) > width) &&
            ((y[i] - ay[1]) > height)) {
          maxr <- area
          maxR <- c(li, ay[1], ri, y[i])
        }
      }
      return(list(x=maxR[c(1,3)], y=maxR[c(2,4)]))
    }
    a <- maxEmptyRect(xlim, ylim, x, y, width, height)
    x <- a$x
    y <- a$y
    if(diff(x) < width || diff(y) < height) {
      warning('no empty rectangle was large enough')
      return(list(x=NA, y=NA, rect=list(x=rep(NA,4),y=rep(NA,4)), area=NA))
    }
  } else {
    d <- sort(c(xlim, x))
    D <- diff(d)
    m <- which.max(D)
    a <- .Fortran(F_maxempr, xlim, ylim, x, y, n,
                  as.double(width), as.double(height),
                  as.double(c(D[m], d[m], d[m+1])),
                  area=double(1), rect=double(4))
    x <- a$rect[c(1,3)]
    y <- a$rect[c(2,4)]
    if(diff(x) < width || diff(y) < height) {
      warning('no empty rectangle was large enough')
      return(list(x=NA, y=NA, rect=list(x=rep(NA,4),y=rep(NA,4)), area=NA))
    }
  }

  rectx <- x[c(1,2,2,1)]
  recty <- y[c(1,1,2,2)]
  if(pl)
    ordGridFun(grid)$polygon(rectx, recty, col=1+itype)
  
  structure(list(x=mean(x), y=mean(y), rect=list(x=rectx, y=recty),
                 area=diff(x)*diff(y)))
}
harrelfe/Hmisc documentation built on Oct. 3, 2019, 9:34 p.m.