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\name{bdinit}
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\alias{bdinit}
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%- Also NEED an '\alias' for EACH other topic documented here.
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\title{ ~~function to do ... ~~ }
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\description{
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~~ A concise (1-5 lines) description of what the function does. ~~
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}
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\usage{
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bdinit(mfrow = c(1, 1), columns = 1, half = FALSE, quadratic = FALSE)
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}
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%- maybe also 'usage' for other objects documented here.
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\arguments{
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\item{mfrow}{ ~~Describe \code{mfrow} here~~ }
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\item{columns}{ ~~Describe \code{columns} here~~ }
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\item{half}{ ~~Describe \code{half} here~~ }
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\item{quadratic}{ ~~Describe \code{quadratic} here~~ }
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}
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\details{
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~~ If necessary, more details than the description above ~~
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}
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\value{
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~Describe the value returned
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If it is a LIST, use
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\item{comp1 }{Description of 'comp1'}
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\item{comp2 }{Description of 'comp2'}
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...
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}
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\references{ ~put references to the literature/web site here ~ }
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\author{ ~~who you are~~ }
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\note{ ~~further notes~~
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~Make other sections like Warning with \section{Warning }{....} ~
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}
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\seealso{ ~~objects to See Also as \code{\link{help}}, ~~~ }
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\examples{
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##---- Should be DIRECTLY executable !! ----
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##-- ==> Define data, use random,
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##-- or do help(data=index) for the standard data sets.
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## The function is currently defined as
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function (mfrow = c(1, 1), columns = 1, half = FALSE, quadratic = FALSE)
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{
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.BDPars <- list()
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.BDPars$figdir <- "figs/"
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.BDPars$paper <- "b5"
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.BDPars$filename <- NA
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.BDPars$method <- "xy"
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.BDPars$xytype <- "l"
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.BDPars$xlab <- "longxlabel"
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.BDPars$ylab <- "longylabel"
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.BDPars$toplab <- NA
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.BDPars$rightlab <- NA
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.BDPars$xlim <- NULL
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.BDPars$ylim <- NULL
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.BDPars$draw.xaxis <- TRUE
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.BDPars$draw.yaxis <- TRUE
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.BDPars$grid <- FALSE
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.BDPars$grid.lwd <- 0.3
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.BDPars$grid.h <- NA
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.BDPars$grid.v <- NA
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.BDPars$grid.col <- "grey50"
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.BDPars$cex.plot <- 0.4
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.BDPars$cex.main <- 0.7
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.BDPars$cex.lab <- 0.6
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.BDPars$cex.axis <- 0.5
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.BDPars$lwd <- 0.5
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.BDPars$tcl <- -0.2
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.BDPars$cex.legend <- 0.4
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.BDPars$pos.legend <- "topright"
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.BDPars$bg.legend <- "white"
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.BDPars$col <- "black"
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.BDPars$bty <- "o"
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.BDPars$pch <- 21
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.BDPars$mar.nolab <- c(1.5, 1, 0.4, 0.3)
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.BDPars$mar.lab <- c(2.1, 2.1, 1.9, 1.9)
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mar.lab.half <- c(2.1, 1.9, 1.9, 1.9)
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.BDPars$mgp.xaxis <- c(1, -0.1, 0)
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.BDPars$mgp.yaxis <- c(1, 0.15, 0)
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.BDPars$mgp.global <- c(0.8, 0.15, 0)
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.BDPars$xlabLine <- 0.9
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.BDPars$ylabLine <- 1.1
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.BDPars$color.palette <- colorRampPalette(c("#3c1900", "#fef7b7"))
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.BDPars$color.palette2 <- colorRampPalette(c("#3c1900", "#ffffff"))
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.BDPars$colpal.heat <- colorRampPalette(c("#ff0000", "#0000ff"))
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.BDPars$colpal.ml <- colorRampPalette(c("#ff0000", "#00ff00",
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"#0000ff"))
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.BDPars$colpal.wyr <- colorRampPalette(c("#ffffff", 7, "#ff0000"))
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.BDPars$colpal.wgr <- colorRampPalette(c("#ffffff", "#00ff00",
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"#ff0000"))
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.BDPars$colpal <- .BDPars$colpal.wgr
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.BDPars$b5.width <- 4.782
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if (.BDPars$paper == "b5") {
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if (all(mfrow == c(1, 1)) & columns == 1) {
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if (half) {
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.BDPars$width <- 2.354
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.BDPars$height <- 2.15
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.BDPars$mar.lab <- mar.lab.half
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}
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else if (quadratic) {
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.BDPars$width <- .BDPars$b5.width
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.BDPars$height <- .BDPars$b5.width
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}
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else {
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.BDPars$width <- .BDPars$b5.width
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.BDPars$height <- 2.7
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}
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}
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else if (all(mfrow == c(2, 1)) & columns == 1) {
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.BDPars$width <- .BDPars$b5.width
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.BDPars$height <- 2.7 * 2
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}
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else if (all(mfrow == c(3, 1))) {
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.BDPars$width <- .BDPars$b5.width
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.BDPars$height <- 2.7 * 2
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}
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}
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else if (.BDPars$paper == "a4") {
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if (all(mfrow == c(1, 1)) & columns == 1 & .BDPars$paper ==
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"a4") {
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.BDPars$width <- 6
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.BDPars$height <- 2.2
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}
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else {
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if (all(mfrow == c(2, 1)) & columns == 1) {
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.BDPars$width <- 6
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.BDPars$height <- 3.5
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}
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if (all(mfrow == c(3, 1)) & columns == 1) {
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.BDPars$width <- 6
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.BDPars$height <- 4.5
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}
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if (all(mfrow == c(4, 1)) & columns == 1) {
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.BDPars$width <- 6
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.BDPars$height <- 5.5
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}
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if (all(mfrow == c(1, 2)) & columns == 1) {
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.BDPars$width <- 6
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.BDPars$height <- 2.5
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}
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}
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}
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.BDPars$mfrow <- mfrow
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.BDPars
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}
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}
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% Add one or more standard keywords, see file 'KEYWORDS' in the
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% R documentation directory.
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\keyword{ ~kwd1 }
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\keyword{ ~kwd2 }% __ONLY ONE__ keyword per line
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