hap.py roc curve plot
Hi,
I used hap.py to estimate some metrics of my VCF. Now I want to plot these metric in a ROC plot.
hap.py gives me these values : https://github.com/Illumina/hap.py/blob/master/doc/happy.md#roc-curves
For now I use this to generate my ROC
roc <- r %>% ggplot(aes(x=QUERY.FP,y=QUERY.TP))+geom_line()
Is is ok to use these values to plot the ROC ?
• 2,145 views
•
link
written
by
Nicolas Rosewick
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
ggplot of two data set with different colors
written by gogeni5529 •
-
PCoA in ggplot2 and Adonis results
written by rene.j.erhardt •
-
Set Y limits for ggplot with sec.axis
written by JirMan •
-
Volcano Plot help. Label and color significant genes.
written by 3kixintehead •
-
How to print individual ggplot after rbind and inside the nested loop
written by amolah1429 •
-
ggplot second y-axis: how to specify a secondary axis if I don't want to scale my second y variable
written by endretoth •
-
Adding custom legend in volcano plot
written by leboralli •
-
Plot line graph when counts are not automatically given
written by kristina.mahan
-
ROC curves from hap.py
written by e.benn
-
How to write micro symbol in ggplot 2 legend
written by Nitin
Interesting, I am also doing that these days. I was using PRECISION and RECALL for my plots.