## Source from package TeachingDemos ## Modified to allow for x,y positions #16: #1: faces<-function(x,y,data,width=NULL,height=NULL, xlim,ylim,col,resolution=40, add = FALSE, which.row, fill=FALSE, scale=TRUE,labels){ if(length(x)!=length(y)) { stop("length(x) != length(y)") } # Setting a default width and height for faces if (is.null(width)) {width <- abs(diff(range(x)))/40} if (is.null(height)) {height <- abs(diff(range(y)))/40} if(length(x)!=length(width)) { width <- rep(width[1],length(x)) } if(length(x)!=length(height)) { height <- rep(height[1],length(x)) } if(missing(col)) { col <- rep('black',length(x)) } else { if(length(x)!=length(col)) { col <- rep(col[1],length(x)) } if (!all(col %in% colors())) { col <- as.numeric(col) } } xloc <- x yloc <- y #21: splineFaces<-function(a,y,m=200,plot=FALSE){ n<-length(a) h<-diff(a) dy<-diff(y) sigma<-dy/h lambda<-h[-1]/(hh<-h[-1]+h[-length(h)]) mu<-1-lambda d<-6*diff(sigma)/hh tri.mat<-2*diag(n-2) tri.mat[2+ (0:(n-4))*(n-1)] <-mu[-1] tri.mat[ (1:(n-3))*(n-1)] <-lambda[-(n-2)] M<-c(0,solve(tri.mat)%*%d,0) x<-seq(from=a[1],to=a[n],length=m) anz.kl <- hist(x,breaks=a,plot=FALSE)$counts adj<-function(i) i-1 i<-rep(1:(n-1),anz.kl)+1 S.x<- M[i-1]*(a[i]-x )^3 / (6*h[adj(i)]) + M[i] *(x -a[i-1])^3 / (6*h[adj(i)]) + (y[i-1] - M[i-1]*h[adj(i)]^2 /6) * (a[i]-x)/ h[adj(i)] + (y[i] - M[i] *h[adj(i)]^2 /6) * (x-a[i-1]) / h[adj(i)] if(plot){ plot(x,S.x,type="l"); points(a,y) } return(cbind(x,S.x)) } #:21 #4: n.char<-15 data<-rbind(data) if(!missing(which.row)&& all( !is.na(match(which.row,1:dim(data)[2])) )) data<-data[,which.row,drop=FALSE] mm<-dim(data)[2]; n<-dim(data)[1] xnames<-dimnames(data)[[1]] if(is.null(xnames)) xnames<-as.character(1:n) if(!missing(labels)) xnames<-labels if(scale){ data<-apply(data,2,function(x){ x<-x-min(x); x<-if(max(x)>0) 2*x/max(x)-1 else x }) } else data[]<-pmin(pmax(-1,data),1) data<-rbind(data);n.c<-dim(data)[2] data<-data[,(h<-rep(1:mm,ceiling(n.char/mm))),drop=FALSE] if(fill) data[,-(1:n.c)]<-0 #:4 #5: face.orig<-list( eye =rbind(c(12,0),c(19,8),c(30,8),c(37,0),c(30,-8),c(19,-8),c(12,0)) ,iris =rbind(c(20,0),c(24,4),c(29,0),c(24,-5),c(20,0)) ,lipso=rbind(c(0,-47),c( 7,-49),lipsiend=c( 16,-53),c( 7,-60),c(0,-62)) ,lipsi=rbind(c(7,-54),c(0,-54)) # add lipsiend ,nose =rbind(c(0,-6),c(3,-16),c(6,-30),c(0,-31)) ,shape =rbind(c(0,44),c(29,40),c(51,22),hairend=c(54,11),earsta=c(52,-4), earend=c(46,-36),c(38,-61),c(25,-83),c(0,-89)) ,ear =rbind(c(60,-11),c(57,-30)) # add earsta,earend ,hair =rbind(hair1=c(72,12),hair2=c(64,50),c(36,74),c(0,79)) # add hairend ) lipso.refl.ind<-4:1 lipsi.refl.ind<-1 nose.refl.ind<-3:1 hair.refl.ind<-3:1 shape.refl.ind<-8:1 shape.xnotnull<-2:8 nose.xnotnull<-2:3 #:5 if(!add) { if(missing(xlim)) { xlim <- range(x)+max(width)*c(-1,1)*1.1 } if(missing(ylim)) { ylim <- range(y)+max(height)*c(-1,1)*1.3 } plot(1,1,'n',xlim=xlim,ylim=ylim) } #6: for(ind in 1:n){ iii <- ind #7: factors<-data[ind,] face <- face.orig #:7 #9: m<-mean(face$lipso[,2]) face$lipso[,2]<-m+(face$lipso[,2]-m)*(1+0.7*factors[4]) face$lipsi[,2]<-m+(face$lipsi[,2]-m)*(1+0.7*factors[4]) face$lipso[,1]<-face$lipso[,1]*(1+0.7*factors[5]) face$lipsi[,1]<-face$lipsi[,1]*(1+0.7*factors[5]) face$lipso["lipsiend",2]<-face$lipso["lipsiend",2]+20*factors[6] #:9 #10: m<-mean(face$eye[,2]) face$eye[,2] <-m+(face$eye[,2] -m)*(1+0.7*factors[7]) face$iris[,2]<-m+(face$iris[,2]-m)*(1+0.7*factors[7]) m<-mean(face$eye[,1]) face$eye[,1] <-m+(face$eye[,1] -m)*(1+0.7*factors[8]) face$iris[,1]<-m+(face$iris[,1]-m)*(1+0.7*factors[8]) #:10 #11: m<-min(face$hair[,2]) face$hair[,2]<-m+(face$hair[,2]-m)*(1+0.2*factors[9]) m<-0 face$hair[,1]<-m+(face$hair[,1]-m)*(1+0.2*factors[10]) m<-0 face$hair[c("hair1","hair2"),2]<-face$hair[c("hair1","hair2"),2]+50*factors[11] #:11 #12: m<-mean(face$nose[,2]) face$nose[,2]<-m+(face$nose[,2]-m)*(1+0.7*factors[12]) face$nose[nose.xnotnull,1]<-face$nose[nose.xnotnull,1]*(1+factors[13]) #:12 #13: m<-mean(face$shape[c("earsta","earend"),1]) face$ear[,1]<-m+(face$ear[,1]-m)* (1+0.7*factors[14]) m<-min(face$ear[,2]) face$ear[,2]<-m+(face$ear[,2]-m)* (1+0.7*factors[15]) #:13 #8: face<-lapply(face,function(x){ x[,2]<-x[,2]*(1+0.2*factors[1]);x}) face<-lapply(face,function(x){ x[,1]<-x[,1]*(1+0.2*factors[2]);x}) face<-lapply(face,function(x){ x[,1]<-ifelse(x[,1]>0, ifelse(x[,2] > -30, x[,1], pmax(0,x[,1]+(x[,2]+50)*0.2*sin(1.5*(-factors[3])))),0);x}) #face$shape[,2]<-face$shape[,2]*(1+0.2*factors[1]) #face$shape[,1]<-face$shape[,1]*(1+0.2*factors[2]) #face$shape[,1]<-face$shape[,1]<-ifelse(face$shape[,1]>0, # ifelse(face$shape[,2] > -30, face$shape[,1], # pmax(0,face$shape[,1]+(face$shape[,2]+50)*0.2*sin(1.5*(-factors[3])))),0) #:8 #14: invert<-function(x) cbind(-x[,1],x[,2]) face.obj<-list( eyer=face$eye ,eyel=invert(face$eye) ,irisr=face$iris ,irisl=invert(face$iris) ,lipso=rbind(face$lipso,invert(face$lipso[lipso.refl.ind,])) ,lipsi=rbind(face$lipso["lipsiend",],face$lipsi, invert(face$lipsi[lipsi.refl.ind,,drop=FALSE]), invert(face$lipso["lipsiend",,drop=FALSE])) ,earr=rbind(face$shape["earsta",],face$ear,face$shape["earend",]) ,earl=invert(rbind(face$shape["earsta",],face$ear,face$shape["earend",])) ,nose=rbind(face$nose,invert(face$nose[nose.refl.ind,])) ,hair=rbind(face$shape["hairend",],face$hair,invert(face$hair[hair.refl.ind,]), invert(face$shape["hairend",,drop=FALSE])) ,shape=rbind(face$shape,invert(face$shape[shape.refl.ind,])) ) #:14 #15: # plot(1,type="n",xlim=c(-105,105)*1.1, axes=FALSE, # ylab="",ylim=c(-105,105)*1.3) for(ind in seq(face.obj)) { x <-face.obj[[ind]][,1]; y<-face.obj[[ind]][,2] xx<-splineFaces(1:length(x),x,resolution,FALSE)[,2] yy<-splineFaces(1:length(y),y,resolution,FALSE)[,2] lines(width[iii]/105*xx+xloc[iii],height[iii]/105*yy+yloc[iii], col = col[iii]) } ## points(xloc[iii],yloc[iii]) #:15 } #:6 } #:1 #:16