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Copy pathorigami_func.R
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151 lines (138 loc) · 6.88 KB
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origami_func <- function(df, axistype=0, seg=4, pty=16, pcol=1:8, plty=1:6, plwd=1,
pdensity=NULL, pangle=45, pfcol=NA, cglty=3, cglwd=1,
cglcol="navy", axislabcol="blue", title="", maxmin=TRUE,
na.itp=TRUE, centerzero=FALSE, vlabels=NULL, vlcex=NULL,
caxislabels=NULL, calcex=NULL,
paxislabels=NULL, palcex=NULL,
weights = NULL,
full_point = NULL,
point_col = NULL,
point_pch = NULL, ...) {
n_col = dim(df)[2]
if (is.null(weights)) {weights = rep(1,n_col)}
if (!is.data.frame(df)) { cat("The data must be given as dataframe.\n"); return() }
if ((n <- length(df))<3) { cat("The number of variables must be 3 or more.\n"); return() }
if (maxmin==FALSE) { # when the dataframe does not include max and min as the top 2 rows.
dfmax <- apply(df, 2, max)
dfmin <- apply(df, 2, min)
df <- rbind(dfmax, dfmin, df)
}
plot(c(-1.2, 1.2), c(-1.2, 1.2), type="n", frame.plot=FALSE, axes=FALSE,
xlab="", ylab="", main=title, asp=1, ...) # define x-y coordinates without any plot
theta <- seq(90, 450, length=n+1)*pi/180
theta <- theta[1:n]
xx <- cos(theta)
yy <- sin(theta)
CGap <- ifelse(centerzero, 0, 1)
points(0,0, pch = 16, col = rgb(0,0,0,0.2))
for (ind in 1:n_col){
if (ind == 1){
segments(0, 0, 0, 1, lwd = 2, lty = 1, col = rgb(0,0,0,0.2)) # factor 1
} else{
angle_each = -13 + (ind - 2)*2
if ((ind %% 2) == 0){
draw.radial.line(0, weights[ind-1], center=c(0,0), angle=angle_each*(pi/n_col), lwd = 2, lty = 2, col = rgb(0,0,0,0.2))
} else{
draw.radial.line(0, weights[ind-1], center=c(0,0), angle=angle_each*(pi/n_col), lwd = 2, lty = 1, col = rgb(0,0,0,0.2))
}
}
}
if (centerzero) {
arrows(0, 0, xx*1, yy*1, lwd=cglwd, lty=cglty, length=0, col=cglcol)
}
else {
arrows(xx/(seg+CGap), yy/(seg+CGap), xx*1, yy*1, lwd=cglwd, lty=cglty, length=0, col=cglcol)
}
PAXISLABELS <- df[1,1:n]
if (!is.null(paxislabels)) PAXISLABELS <- paxislabels
if (axistype==2|axistype==3|axistype==5) {
if (is.null(palcex)) text(xx[1:n], yy[1:n], PAXISLABELS, col=axislabcol) else
text(xx[1:n], yy[1:n], PAXISLABELS, col=axislabcol, cex=palcex)
}
VLABELS <- colnames(df)
if (!is.null(vlabels)) VLABELS <- vlabels
if (is.null(vlcex)) text(xx*1.2, yy*1.2, VLABELS) else
text(xx*1.2, yy*1.2, VLABELS, cex=vlcex)
series <- length(df[[1]])
SX <- series-2
if (length(pty) < SX) { ptys <- rep(pty, SX) } else { ptys <- pty }
if (length(pcol) < SX) { pcols <- rep(pcol, SX) } else { pcols <- pcol }
if (length(plty) < SX) { pltys <- rep(plty, SX) } else { pltys <- plty }
if (length(plwd) < SX) { plwds <- rep(plwd, SX) } else { plwds <- plwd }
if (length(pdensity) < SX) { pdensities <- rep(pdensity, SX) } else { pdensities <- pdensity }
if (length(pangle) < SX) { pangles <- rep(pangle, SX)} else { pangles <- pangle }
if (length(pfcol) < SX) { pfcols <- rep(pfcol, SX) } else { pfcols <- pfcol }
for (i in 3:series) {
xxs <- xx
yys <- yy
scale <- CGap/(seg+CGap)+(df[i,]-df[2,])/(df[1,]-df[2,])*seg/(seg+CGap)
if (sum(!is.na(df[i,]))<3) { cat(sprintf("[DATA NOT ENOUGH] at %d\n%g\n",i,df[i,])) # for too many NA's (1.2.2012)
} else {
for (j in 1:n) {
if (is.na(df[i, j])) { # how to treat NA
if (na.itp) { # treat NA using interpolation
left <- ifelse(j>1, j-1, n)
while (is.na(df[i, left])) {
left <- ifelse(left>1, left-1, n)
}
right <- ifelse(j<n, j+1, 1)
while (is.na(df[i, right])) {
right <- ifelse(right<n, right+1, 1)
}
xxleft <- xx[left]*CGap/(seg+CGap)+xx[left]*(df[i,left]-df[2,left])/(df[1,left]-df[2,left])*seg/(seg+CGap)
yyleft <- yy[left]*CGap/(seg+CGap)+yy[left]*(df[i,left]-df[2,left])/(df[1,left]-df[2,left])*seg/(seg+CGap)
xxright <- xx[right]*CGap/(seg+CGap)+xx[right]*(df[i,right]-df[2,right])/(df[1,right]-df[2,right])*seg/(seg+CGap)
yyright <- yy[right]*CGap/(seg+CGap)+yy[right]*(df[i,right]-df[2,right])/(df[1,right]-df[2,right])*seg/(seg+CGap)
if (xxleft > xxright) {
xxtmp <- xxleft; yytmp <- yyleft;
xxleft <- xxright; yyleft <- yyright;
xxright <- xxtmp; yyright <- yytmp;
}
xxs[j] <- xx[j]*(yyleft*xxright-yyright*xxleft)/(yy[j]*(xxright-xxleft)-xx[j]*(yyright-yyleft))
yys[j] <- (yy[j]/xx[j])*xxs[j]
} else { # treat NA as zero (origin)
xxs[j] <- 0
yys[j] <- 0
}
}
else {
xxs[j] <- xx[j]*CGap/(seg+CGap)+xx[j]*(df[i, j]-df[2, j])/(df[1, j]-df[2, j])*seg/(seg+CGap)
yys[j] <- yy[j]*CGap/(seg+CGap)+yy[j]*(df[i, j]-df[2, j])/(df[1, j]-df[2, j])*seg/(seg+CGap)
}
}
if (is.null(pdensities)) {
polygon(xxs, yys, lty=pltys[i-2], lwd=plwds[i-2], border=pcols[i-2], col=pfcols[i-2])
} else {
polygon(xxs, yys, lty=pltys[i-2], lwd=plwds[i-2], border=pcols[i-2],
density=pdensities[i-2], angle=pangles[i-2], col=pfcols[i-2])
}
points(xx[c(1,3,5,7,9)]*scale[c(1,3,5,7,9)], yy[c(1,3,5,7,9)]*scale[c(1,3,5,7,9)], pch=ptys[i-2], col=pcols[i-2])
points(xx[c(2,4,6,8,10)]*scale[c(2,4,6,8,10)], yy[c(2,4,6,8,10)]*scale[c(2,4,6,8,10)], pch=ptys[i-2], col=rgb(0,0,0,0.2))
# points(xx*scale, yy*scale, pch=ptys[i-2], col=rgb(0,0,0,0.2))
}
}
### plot the 100% weights points
if (!is.null(full_point)){
xxs <- xx
yys <- yy
if (is.null(dim(full_point))){
scale <- CGap/(seg+CGap)+(full_point-rep(0, length(full_point)))/(rep(1, length(full_point))-rep(0, length(full_point)))*seg/(seg+CGap)
points(xx[-c(2,4,6,8,10)]*scale[-c(2,4,6,8,10)],
yy[-c(2,4,6,8,10)]*scale[-c(2,4,6,8,10)], pch=point_pch, col=point_col)
}else{
scale <- CGap/(seg+CGap)+(full_point[3,]-full_point[2,])/(full_point[1,]-full_point[2,])*seg/(seg+CGap)
points(xx[-c(2,4,6,8,10)]*scale[-c(2,4,6,8,10)],
yy[-c(2,4,6,8,10)]*scale[-c(2,4,6,8,10)], pch=point_pch, col=point_col)
}
}
for (i in 1:seg) { # complementary guide lines, dotted navy line by default
polygon(xx*(i+CGap)/(seg+CGap), yy*(i+CGap)/(seg+CGap), lty=cglty, lwd=cglwd, border=cglcol)
if (axistype==1|axistype==3) CAXISLABELS <- paste(i/seg*100,"(%)")
if (axistype==4|axistype==5) CAXISLABELS <- sprintf("%3.2f",i/seg)
if (!is.null(caxislabels)&(i<length(caxislabels))) CAXISLABELS <- caxislabels[i+1]
if (axistype==1|axistype==3|axistype==4|axistype==5) {
if (is.null(calcex)) text(-0.05, (i+CGap)/(seg+CGap), CAXISLABELS, col=axislabcol) else
text(-0.05, (i+CGap)/(seg+CGap), CAXISLABELS, col=axislabcol, cex=calcex)
}
}
}