imgplot {DAAGbio} | R Documentation |
Creates an image of graduated colors that represent the
values of a statistic for each spot on a spotted microarray.
By default, the only the 5
shown. The initial version was based on plot.spatial
in the sma package.
imgplot(z = coralRG$R[, 1], layout = coralRG$printer, crit1 = 0.05, crit2 = crit1, key.side = 2, lohi.colors = c("#9E0142", "#D53E4F", "#F46D43", "#FDAE61", "#ABDDA4", "#66C2A5", "#3288BD", "#5E4FA2"), nacolor = "#FFFF00", boxplot.side = 1, split = "quantiles")
z |
values to be plotted |
layout |
layout of spots, in the order (rows of grids, columns of grids, rows of spots in a grid, columns in a grid) |
crit1 |
Choose the lower threshold to include this proportion at the high end |
crit2 |
Choose the upper threshold to include this proportion of values at the low end |
key.side |
Side on which the color key should appear |
lohi.colors |
Graduated sequence of colors |
nacolor |
Use this color for NA s |
boxplot.side |
Show boxplot on this side of figure region |
split |
Specify "intervals" or "quantiles" ,
as required |
A plot is created on the current graphics device
J. H. Maindonald
## The function is currently defined as function (z=coralRG$R[,1], layout=coralRG$printer, crit1 = 0.05, crit2 = crit1, key.side=2, lohi.colors=c("#9E0142","#D53E4F","#F46D43","#FDAE61", "#ABDDA4","#66C2A5","#3288BD","#5E4FA2"), nacolor="#FFFF00", boxplot.side=1, split="quantiles") { "block2matrix" <- function(z, sr=3, sc=2, gr=2, gc=2){ ## Assumes that values in the vector z are in row major ## order within blocks of dimension sr x sc, with blocks ## in row major order within a gr x gc array of grids. ## Elements in the vector that is returned are in row ## major order wrt the sr*gr x sc*gc matrix of values on ## the slide. (It is given the dimensions of a matrix.) xy <- array(z, dim=c(sc, sr, gc, gr)) xy <- aperm(xy, c(1,3,2,4)) dim(xy) <- c(sc*gc, gr*sr) xy} quantile.na <- function (z, ...) { tmp <- !(is.na(z) | is.infinite(z)) quantile(z[tmp], ...) } length.na <- function (z, ...) { tmp <- !(is.na(z) | is.infinite(z)) length(z[tmp], ...) } if(is.matrix(z))warning("z is a matrix, You probably want a column vector") bplot <- function(z, boxplot.side=1){ xrange <- range(z,na.rm=TRUE) iqr <- diff(quantile(xrange, c(.25,.75))) bwex <- diff(xrange)/(3*iqr) xhi <- max(z,na.rm=TRUE) xusr <- par()$usr[c(1:2)] xpos=pretty(z[!is.na(z)], n=5) z <- xusr[1]+(z-xrange[1])*diff(xusr)/diff(xrange) newpos <- xusr[1]+(xpos-xrange[1])*diff(xusr)/diff(xrange) par(xpd=TRUE) atvert <- switch(boxplot.side, par()$usr[3]-par()$cxy[2]*0.8, "", par()$usr[4]+par()$cxy[2]*0.8, "") if(atvert!=""){ boxplot(z, at=atvert, boxwex=bwex, add=TRUE, horizontal=TRUE, xaxt="n") axis(side=boxplot.side, line=1.5, at=newpos, labels=xpos, cex.axis=0.75, mgp=c(2, 0.5, 0)) } par(xpd=FALSE) } if (crit1 >= 1) crit1 <- crit1/(length.na(z)) if (crit2 >= 1) crit2 <- crit2/(length.na(z)) tmpind <- (z > quantile.na(z, probs = 1 - crit2)) | (z < quantile.na(z, probs = crit1)) n <- prod(unlist(layout)) n.all <- length(z) n.na <- sum(is.na(z)) nhalf <- length(lohi.colors)%/%2 n2 <- 2*nhalf n.one <- length(lohi.colors) plo <- crit1*(0:nhalf)/nhalf phi <- 1-crit2*(nhalf:0)/nhalf quiles1 <- quantile.na(z, plo) quiles2 <- quantile.na(z, phi) if(split=="intervals"){ quiles1[2:nhalf] <- quiles1[1]+(quiles1[nhalf+1]-quiles1[1])* (1:(nhalf-1))/nhalf quiles2[2:nhalf] <- quiles2[1]-(quiles2[nhalf+1]-quiles2[1])* ((nhalf-1):1)/nhalf plo[-1] <- sapply(quiles1[-1], function(x, z)sum(z<=x, na.rm=TRUE)/length.na(z), z=z) phi[-1] <- sapply(quiles2[-1], function(x, z)sum(z<=x, na.rm=TRUE)/length.na(z), z=z) } if(crit1+crit2<1){ quiles <- c(quiles1,quiles2) frac <- c(plo, phi) colpal <- c(lohi.colors[1:nhalf],"#FFFFFF", lohi.colors[(n.one-nhalf+1):(n.one)]) midbreak <- TRUE } else {colpal <- lohi.colors midbreak <- FALSE quiles <- quantile.na(z, (0:n.one)/n.one) frac <- c(plo, phi[-1]) } dups <- duplicated(quiles) if(any(dups)){ cats <- seq(along=quiles[-1]) filledcats <- cats[!dups] cutcats <- as.integer(cut(z, quiles[!dups], include.lowest=TRUE)) fullm <- filledcats[cutcats]} else fullm <- as.integer(cut(z, quiles, include.lowest=TRUE)) n.one <- length(colpal) nrects <- length(quiles) if(any(is.na(z))){ nacat <- TRUE fullm[is.na(fullm)] <- max(unique(fullm[!is.na(fullm)]))+1 colpal <- c(colpal, nacolor) } else nacat <- FALSE if ((length(as.vector(z)) != n) & (!is.null(names(z)))) { y <- fullm[tmpind] fullm <- rep(NA, n) fullm[as.integer(names(y))] <- y } else fullm[!tmpind] <- NA if ((length(as.vector(z)) != n) & (is.null(names(z)))) { stop(" Error: Length of vector is different from total number of spots and vector has no row.name.\n") } ################################################################# gc <- layout$ngrid.c gr <- layout$ngrid.r sc <- layout$nspot.c sr <- layout$nspot.r full <- block2matrix(fullm, sr, sc, gr, gc) image(1:ncol(full), 1:nrow(full), t(full), axes = FALSE, xlab = "", ylab = "", col=colpal) box() abline(v = ((gr - 1):1) * (sr) + 0.5) abline(h = (1:(gc - 1)) * (sc) + 0.5) ################################################################# if(boxplot.side%in%c(1,3))bplot(z, boxplot.side=boxplot.side) if(key.side%in%c(2,4)){ chw <- par()$cxy[1] barwid <- 0.75*chw if(key.side==2){ x0 <- par()$usr[1]-chw-barwid xcutpos <- x0 - 0.4*chw xquilepos <- x0+barwid+0.55*chw srt <- 90 } else { x0 <- par()$usr[2]+chw xcutpos <- x0 + barwid + 0.4*chw xquilepos <- x0-0.4*chw srt <- -90 } yvals2 <- seq(from=par()$usr[3], to=par()$usr[4], length=n2+midbreak+2*nacat+1)[-(n2+midbreak+2*nacat+1)] eps2 <- diff(yvals2[1:2]) if(nacat){ nlast <- length(yvals2) nclast <- length(colpal) rect(x0, yvals2[nlast], x0+barwid, yvals2[nlast]+eps2, col=colpal[nclast], xpd=TRUE) text(x0+0.5*barwid, yvals2[nlast]+0.5*eps2, "NA", xpd=TRUE, srt=srt) yvals2 <- yvals2[-((nlast-1):nlast)] colpal <- colpal[-nclast] } if(!midbreak){ rect(x0, yvals2, x0+barwid, yvals2+eps2, col=colpal, xpd=TRUE) text(xcutpos, c(yvals2[1],yvals2+eps2), paste(signif(quiles,3)), srt=srt, xpd=TRUE, cex=0.8) text(xquilepos, yvals2[1], "(0%)", srt=srt, xpd=TRUE, cex=0.65) fracs <- frac[-c(1, length(frac))] text(xquilepos, yvals2[-1], paste("(",round(fracs*100,2),")",sep=""), srt=srt, xpd=TRUE, cex=0.65) text(xquilepos, yvals2[length(yvals2)]+eps2, "(100%)", srt=srt, xpd=TRUE, cex=0.65) } else {rect(x0, yvals2[1:nhalf], x0+barwid, yvals2[1:nhalf]+eps2, col=colpal[1:nhalf], xpd=TRUE) rect(x0, yvals2[(nhalf+2):(2*nhalf+1)], x0+barwid, yvals2[(nhalf+2):(2*nhalf+1)]+eps2, col=colpal[(nhalf+2):(2*nhalf+1)], xpd=TRUE) text(xcutpos, yvals2[1:(nhalf+1)], paste(signif(quiles1,3)), srt=srt, xpd=TRUE, cex=0.8) text(xquilepos, yvals2[2:(nhalf+1)], paste("(",round(plo[-1]*100,2),")",sep=""), srt=srt, xpd=TRUE, cex=0.65) text(xquilepos, yvals2[1], "(0%)", srt=srt, xpd=TRUE, cex=0.65) text(xcutpos, c(yvals2[(nhalf+2):(2*nhalf+1)], yvals2[2*nhalf+1]+eps2), paste(signif(quiles2,3)), srt=srt, xpd=TRUE, cex=0.8) text(xquilepos, yvals2[(nhalf+2):(2*nhalf+1)], paste("(",round(phi[-length(phi)]*100,2),")",sep=""), srt=srt, xpd=TRUE, cex=0.65) text(xquilepos, yvals2[2*nhalf+1]+eps2, "(100%)", srt=srt, xpd=TRUE, cex=0.65) } } invisible() }