Covid ensemble.rmd

---
title: "Covid 19 ensemble"
author: "Dr Fad"
date: "Mar 24, 2020"
output:
  html_document:
    toc: yes 
    toc_depth: 4
  word_document:
    toc: yes 
    toc_depth: 4
  pdf_document: 
    toc: yes
    toc_depth: 4
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# 1. Load libraries

```{r cars}

## Import packages
library(dplyr)
library(beepr)

options(repr.plot.width=4, repr.plot.height=4)
```

# 2. Load submissions
```{r}
#Load model outputs
Covid_XG1_syj4zZzW <- read.csv("Zindi/Covid 19/Covid_XG1_syj4zZzW.csv")
Covid_XG3_hGHyz71E <- read.csv("Zindi/Covid 19/Covid_XG3_hGHyz71E.csv")
```

# 3. Ensemble
Simple average
```{r}
Covid_ensemble <- rbind(Covid_XG3_hGHyz71E[,1:2],Covid_XG1_syj4zZzW[,1:2])#PCsvSSFj
Covid_ensemble <- Covid_ensemble %>% group_by(Territory_Date) %>% summarise_all(funs(mean))

#Write ouput
write.csv(Covid_ensemble, file="Zindi/Covid 19/Covid_ensemble.csv",row.names = F)
head(Covid_ensemble)
beep(6)
```


```{r}

```