X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=aggexp%2FR%2Fz_plot.R;fp=aggexp%2FR%2Fz_plot.R;h=0000000000000000000000000000000000000000;hb=ae507b4e6ed3ae1f50a24a7c43d77be9501d791c;hp=cf36ed69e08a191c7a011adbb47f4187e92e8cf6;hpb=57dbbab63a48b42f85e0a711640e1dd10b58f18a;p=aggexp.git diff --git a/aggexp/R/z_plot.R b/aggexp/R/z_plot.R deleted file mode 100644 index cf36ed6..0000000 --- a/aggexp/R/z_plot.R +++ /dev/null @@ -1,149 +0,0 @@ -#' @include z_plotHelper.R - -#' @title Plot forecasts/observations -#' -#' @description Plot the measures at one station versus all experts forecasts. -#' -#' @param r Output of \code{\link{runAlgorithm}}. -#' @param station Name or index of the station to consider. Default: the first one -#' @param interval Time interval for the plot. Default: all time range. -#' @param experts Subset of experts for the plot. Default: all experts. -#' @param ... Additional arguments to be passed to graphics::plot method. -#' -#' @export -plotCurves = function(r, station=1, interval=1:(nrow(r$data)/length(r$stations)), experts=r$experts, cols=rainbow(length(experts)), ...) -{ - if (is.character(station)) - station = match(station, r$stations) - if (is.numeric(experts)) - experts = r$experts[experts] - - XY = subset(r$data[interval,], subset = (Station == station), select = c(experts,"Measure")) - indices = getNoNAindices(XY) - XY = XY[indices,] - X = as.matrix(XY[,names(XY) %in% experts]) - Y = XY[,"Measure"] - - yRange = range(XY) - par(mar=c(5,4.5,1,1), cex=1.5) - for (i in 1:length(experts)) - { - plot(X[,i],ylim=yRange,type="l",lty="dotted",col=cols[i],xlab="",ylab="",xaxt="n",yaxt="n", lwd=2, ...) - par(new=TRUE) - } - plot(Y, type="l", ylim=yRange, xlab="", ylab="", lwd=2, cex.axis=1.5, ...) - title(xlab="Time",ylab="Forecasts / Measures", cex.lab=1.6) - legend("topright", title="Historical PM10",lwd=c(2,1),lty=c("solid","dotted"),horiz=TRUE,legend=c("Measures","Forecasts")) -} - -#' @title Plot error -#' -#' @description Plot the absolute error over time at one station. -#' -#' @param r Output of \code{\link{runAlgorithm}}. -#' @param station Name or index of the station to consider. Default: the first one -#' @param start First index to consider (too much variability in early errors) -#' @param noNA TRUE to show only errors associated with full lines (old behavior) -#' @param ... Additional arguments to be passed to graphics::plot method. -#' -#' @export -plotError = function(r, station=1, start=1, noNA=TRUE, ...) -{ - if (is.character(station)) - station = match(station, r$stations) - - XY = subset(r$data, subset = (Station == station), select = c(r$experts,"Measure","Prediction")) - Y = XY[,"Measure"] - hatY = XY[,"Prediction"] - indices = !is.na(Y) & !is.na(hatY) - if (noNA) - { - X = XY[,names(XY) %in% r$experts] - indices = indices & getNoNAindices(X) - } - Y = Y[indices] - hatY = hatY[indices] - - error = abs(Y - hatY) - par(mar=c(5,4.5,1,1), cex=1.5) - plot(error, type="l", xaxt="n", xlab="Time",ylab="L1 error", cex.lab=1.6, cex.axis=1.5, ...) - axis(side=1, at=(seq(from=start,to=length(Y),by=30) - start), labels=seq(from=start,to=length(Y),by=30), cex.axis=1.5) -} - -#' @title Plot regret -#' -#' @description Plot the regret over time at one station. -#' -#' @param r Output of \code{\link{runAlgorithm}}. -#' @param vs Linear weights to compare with. Can be obtained by the \code{getBestXXX} methods, or by any other mean. -#' @param station Name or index of the station to consider. Default: the first one -#' @param start First index to consider (too much variability in early errors) -#' @param ... Additional arguments to be passed to graphics::plot method. -#' -#' @export -plotRegret = function(r, vs, station=1, start=1, ...) -{ - if (is.character(station)) - station = match(station, r$stations) - - XY = subset(r$data, subset = (Station == station), select = c(r$experts,"Measure","Prediction")) - X = XY[,names(XY) %in% r$experts] - Y = XY[,"Measure"] - hatY = XY[,"Prediction"] - - indices = !is.na(Y) & !is.na(hatY) & getNoNAindices(X) - X = as.matrix(X[indices,]) - Y = Y[indices] - hatY = hatY[indices] - - error2 = abs(Y - hatY)^2 - vsError2 = abs(Y - X %*% vs)^2 - cumErr2 = cumsum(error2) / seq_along(error2) - cumVsErr2 = cumsum(vsError2) / seq_along(vsError2) - regret = cumErr2 - cumVsErr2 - - par(mar=c(5,4.5,1,1), cex=1.5) - plot(regret, type="l", xaxt="n", xlab="Time", ylab="Regret", cex.lab=1.6, cex.axis=1.5, ...) - abline(a=0., b=0., col=2) - axis(side=1, at=(seq(from=start,to=length(Y),by=30) - start), labels=seq(from=start,to=length(Y),by=30), cex.axis=1.5) -} - -#' @title Plot predicted/expected cloud -#' -#' @description Plot the cloud of forecasts/observations + statistical indicators. -#' -#' @param r Output of \code{\link{runAlgorithm}}. -#' @param thresh Threshold to consider for alerts (usually 30 or 50) -#' @param hintThresh thresholds to draw on the plot to help visualization. Often \code{c(30,50,80)} -#' @param station Name or index of the station to consider. Default: the first one -#' @param noNA TRUE to show only errors associated with full lines (old behavior) -#' @param ... Additional arguments to be passed to graphics::plot method. -#' -#' @export -plotCloud = function(r, thresh=30, hintThresh=c(30,50,80), station=1, noNA=TRUE, ...) -{ - if (is.character(station)) - station = match(station, r$stations) - - XY = subset(r$data, subset = (Station == station), select = c(r$experts,"Measure","Prediction")) - Y = XY[,"Measure"] - hatY = XY[,"Prediction"] - indices = !is.na(Y) & !is.na(hatY) - if (noNA) - { - X = XY[,names(XY) %in% r$experts] - indices = indices & getNoNAindices(X) - } - Y = Y[indices] - hatY = hatY[indices] - - indics = getIndicators(r, thresh, station, noNA) - - par(mar=c(5,5,3,2), cex=1.5) - plot(Y, hatY, xlab="Measured PM10", ylab="Predicted PM10", - cex.lab=1.6, cex.axis=1.5, xlim=c(0,120), ylim=c(0,120), ...) - abline(0,1,h=hintThresh,v=hintThresh,col=2,lwd=2) -# legend("topleft",legend=c(paste("EV ",indics$EV),paste("RMSE ",indics$RMSE)),cex=1.2) - legend("topleft",legend=paste("RMSE ",indics$RMSE)) - legend("bottomright",legend=c(paste("TS ",indics$TS))) -}