---
title: "ECDF_Aggregated"
author: "IOHprofiler"
date: "7/5/2019"
output: pdf_document:
  fig_caption: yes
graphics: yes
---

```{r, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
dsList <- subset(dsl, algId %in% algs)
    
if (!input$RTECDF.Aggr.Func) 
  dsList <- subset(dsList, funcId == input$Overall.Funcid)
if (!input$RTECDF.Aggr.Dim) 
  dsList <- subset(dsList, DIM == input$Overall.Dim)
#TODO: Add support for the custom targets
p <- Plot.RT.ECDF_Multi_Func(dsList, 
                            scale.xlog = input$RTECDF.Aggr.Logx)
save_plotly(p, 'ECDF_Aggr.pdf', 'pdf', width = 1000, height = 500)
```
## Aggregated ECDF plot on `r if(input$RTECDF.Aggr.Func) paste("all functions ") `  `r if(input$RTECDF.Aggr.Dim) paste("all dimensions ") `

```{r aggregated_ecdf, results='asis', fig.align='center', fig.cap="TEsting", fig.width=500, fig.height=300, fig.pos='!hbt'}
include_graphics('ECDF_Aggr.pdf')
```
