diff --git a/sdk/core/plot.cpp b/sdk/core/plot.cpp
index 9f77d4b..b500f6f 100644
--- a/sdk/core/plot.cpp
+++ b/sdk/core/plot.cpp
@@ -348,13 +348,15 @@ struct RPlot
                        "SD <- data[grep(\"SD\",data$Plot),-c(1)]\n"
                        "BC <- data[grep(\"BC\",data$Plot),-c(1)]\n"
                        "CMC <- data[grep(\"CMC\",data$Plot),-c(1)]\n"
-                       "rm(data)\n"
+                       "FAR$Error <- \"FAR\"\n"
+                       "FRR$Error <- \"FRR\"\n"
+                       "ERR <- rbind(FAR, FRR)\n"
+                       "rm(data, FAR, FRR)\n"
                        "\n"
                        "# Format data\n"
                        "Metadata$Y<-factor(Metadata$Y, levels=c(\"Genuine\",\"Impostor\",\"Ignored\",\"Gallery\",\"Probe\"))\n"
                        "DET$Y <- as.numeric(as.character(DET$Y))\n"
-                       "FAR$Y <- as.numeric(as.character(FAR$Y))\n"
-                       "FRR$Y <- as.numeric(as.character(FRR$Y))\n"
+                       "ERR$Y <- as.numeric(as.character(ERR$Y))\n"
                        "SD$Y <- as.factor(unique(as.character(SD$Y)))\n"
                        "BC$Y <- as.numeric(as.character(BC$Y))\n"
                        "CMC$Y <- as.numeric(as.character(CMC$Y))\n");
@@ -472,23 +474,14 @@ bool br::Plot(const QStringList &files, const QString &destination, bool show)
                             QString(" + theme(legend.position=\"none\", axis.text.x=element_text(angle=-90, hjust=0)) + geom_text(data=BC, aes(label=Y, y=0.05))") +
                             QString("\nggsave(\"%1\")\n").arg(p.subfile("BC"))));
 
-    p.file.write(qPrintable(QString("qplot(X, Y, data=FAR, geom=\"line\"") +
+    p.file.write(qPrintable(QString("qplot(X, Y, data=ERR, geom=\"line\", linetype=Error") +
                             ((p.flip ? p.majorSize : p.minorSize) > 1 ? QString(", colour=factor(%1)").arg(p.flip ? p.majorHeader : p.minorHeader) : QString()) +
-                            QString(", xlab=\"Score%1\", ylab=\"False Accept Rate\") + theme_minimal()").arg((p.flip ? p.minorSize : p.majorSize) > 1 ? " / " + (p.flip ? p.minorHeader : p.majorHeader) : QString()) +
+                            QString(", xlab=\"Score%1\", ylab=\"Error Rate\") + theme_minimal()").arg((p.flip ? p.minorSize : p.majorSize) > 1 ? " / " + (p.flip ? p.minorHeader : p.majorHeader) : QString()) +
                             ((p.flip ? p.majorSize : p.minorSize) > 1 ? getScale("colour", p.flip ? p.majorHeader : p.minorHeader, p.flip ? p.majorSize : p.minorSize) : QString()) +
-                            QString(" + scale_y_continuous(trans=\"log10\")") +
+                            QString(" + scale_y_log10()") +
                             ((p.flip ? p.minorSize : p.majorSize) > 1 ? QString(" + facet_wrap(~ %1, scales=\"free_x\")").arg(p.flip ? p.minorHeader : p.majorHeader) : QString()) +
                             QString(" + theme(aspect.ratio=1)") +
-                            QString("\nggsave(\"%1\")\n").arg(p.subfile("FAR"))));
-
-    p.file.write(qPrintable(QString("qplot(X, Y, data=FRR, geom=\"line\"") +
-                            ((p.flip ? p.majorSize : p.minorSize) > 1 ? QString(", colour=factor(%1)").arg(p.flip ? p.majorHeader : p.minorHeader) : QString()) +
-                            QString(", xlab=\"Score%1\", ylab=\"False Reject Rate\") + theme_minimal()").arg((p.flip ? p.minorSize : p.majorSize) > 1 ? " / " + (p.flip ? p.minorHeader : p.majorHeader) : QString()) +
-                            ((p.flip ? p.majorSize : p.minorSize) > 1 ? getScale("colour", p.flip ? p.majorHeader : p.minorHeader, p.flip ? p.majorSize : p.minorSize) : QString()) +
-                            QString(" + scale_y_continuous(trans=\"log10\")") +
-                            ((p.flip ? p.minorSize : p.majorSize) > 1 ? QString(" + facet_wrap(~ %1, scales=\"free_x\")").arg(p.flip ? p.minorHeader : p.majorHeader) : QString()) +
-                            QString(" + theme(aspect.ratio=1)") +
-                            QString("\nggsave(\"%1\")\n").arg(p.subfile("FRR"))));
+                            QString("\nggsave(\"%1\")\n").arg(p.subfile("ERR"))));
 
     return p.finalize(show);
 }
diff --git a/sdk/openbr.h b/sdk/openbr.h
index f7d43ed..8cc9af4 100644
--- a/sdk/openbr.h
+++ b/sdk/openbr.h
@@ -253,18 +253,17 @@ BR_EXPORT const char *br_objects(const char *abstractions = ".*", const char *im
  *
  * In order of their output, the figures are:
  * -# Metadata table
- * -# Detection Error Tradeoff (DET)
  * -# Receiver Operating Characteristic (ROC)
+ * -# Detection Error Tradeoff (DET)
  * -# Score Distribution (SD) histogram
  * -# True Accept Rate Bar Chart (BC)
  * -# Cumulative Match Characteristic (CMC)
- * -# False Accept Rate (FAR) curve
- * -# False Reject Rate (FRR) curve
+ * -# Error Rate (ERR) curve
  *
  * Several files will be created:
  * - <i>destination</i><tt>.R</tt> which is the auto-generated R script used to render the figures.
  * - <i>destination</i><tt>.pdf</tt> which has all of the figures in one file (convenient for attaching in an email).
- * - <i>destination</i><tt>_DET.pdf</tt>, ..., <i>destination</i><tt>_FAR.pdf</tt> which has each figure in a separate file (convenient for including in a presentation).
+ * - <i>destination</i><tt>_ROC.pdf</tt>, ..., <i>destination</i><tt>_ERR.pdf</tt> which has each figure in a separate file (convenient for including in a presentation).
  *
  * \param num_files Number of <tt>.csv</tt> files.
  * \param files <tt>.csv</tt> files created using \ref br_eval.