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#' @title S3 Plotting Thurstonian Thresholds
#' @exportS3Method plot pair
#' @keywords methods
#' @method plot pair
#' @description S3 plotting method for object of class\code{"pair"}
#' @param x object of class\code{"pair"}
#' @param sortdif logical wether to order items by difficulty
#' @param ra either the character \code{"auto"} (default) or an numeric, defining the (logit) range for y-axis
#' @param main see \code{\link{plot}}
#' @param col.lines vector of colors for threshold profile lines
#' @param type see \code{\link{plot}}
#' @param xlab see \code{\link{plot}}
#' @param ylab see \code{\link{plot}}
#' @param pch see \code{\link{plot}}
#' @param las see \code{\link{plot}}
#' @param cex.axis see \code{\link{plot}}
#' @param ... other parameters passed to plot
########################### here the plot method for pair #############################
plot.pair<-function(x, sortdif=FALSE, ra="auto", main=NULL , col.lines=(1:dim(x$threshold)[2]), type="b", xlab="items", ylab="logits", pch=(1:dim(x$threshold)[2]) , las=3, cex.axis = 0.8, ...){
if(length(main)==0){main<-deparse(substitute(x))}
bereich <- ra
if(sortdif==TRUE){
threshold <- x$threshold
#sb <- x$sb
sigma <- x$sigma
#####
thrcolnames <- colnames(threshold)## new 31-5-2016
thrrownames <- rownames(threshold)## new 31-5-2016
threshold <- threshold[order(sigma), ]
thrrownames <- thrrownames[order(sigma)]## new 31-5-2016
dim(threshold) <- dim(x$threshold) ## new 31-5-2016
colnames(threshold) <- thrcolnames ## new 31-5-2016
rownames(threshold) <- thrrownames ## new 31-5-2016
#sb <- sb[order(sigma), ]
sigma <- sort(sigma)
x<-list(threshold=threshold,sigma=sigma)
# class(x)<-c("pair", "list")
cat("(ordered by location) \n")
}
x$threshold->logit
maxLen <- dim(logit)[2]
colnames(logit)<-paste("threshold",1:maxLen,sep=".")
op <- par(mar = c(5,4,4,6),bty="n",oma=c(0, 0, 0, 0) ) # set graphics options
##### plotingrange festlegen mit leerplot
## automatische y achsen skalierung
if((bereich)[1]=="auto"){
y1<-floor(min(logit,na.rm=TRUE))
y2<-ceiling(max(logit,na.rm=TRUE))
}
## feste vorgegebene y achsen skalierung
if(is.numeric(bereich)){
y1<- -bereich
y2<- bereich
}
# empty ploting range
plot(c(1,(dim(logit)[1])),c(y1,y2), type="n",xaxt="n",xlab=xlab,ylab=ylab,bty="n",main=main)
matplot(logit,add=TRUE,type=type, xlab=xlab, xaxt="n", main=main, col = col.lines)#, ...
axis(1, 1:(dim(logit)[1]), labels=c(rownames(logit)),las=las, cex.axis=cex.axis)#, ...
axis(4, at=colMeans(logit,na.rm=T) , labels=colnames(logit) , outer = F, las=1,cex.axis=.8 ,lwd=0 )
#text(x=rep(dim(logit)[1],dim(logit)[2]), y = seq((y1*.9),(y2*.9), length.out=dim(logit)[2]), labels=colnames(logit),pos=4,col=col.lines,cex=cex.axis)
par(op) # reset graphics setting
}
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