Test file

Introduction

This is my first RMarkdown document!

Let's embed some R code

Let's load the Gapminder data from http://bioconnector.org:

 library(dplyr) 
## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

 library(readr) 
 gm <- read_csv('gapminder.csv') 
## Parsed with column specification:
## cols(
##   country = col_character(),
##   continent = col_character(),
##   year = col_integer(),
##   lifeExp = col_double(),
##   pop = col_integer(),
##   gdpPercap = col_double()
## )

 head(gm) 
## # A tibble: 6 x 6
##       country continent  year lifeExp      pop gdpPercap
##                           
## 1 Afghanistan      Asia  1952  28.801  8425333  779.4453
## 2 Afghanistan      Asia  1957  30.332  9240934  820.8530
## 3 Afghanistan      Asia  1962  31.997 10267083  853.1007
## 4 Afghanistan      Asia  1967  34.020 11537966  836.1971
## 5 Afghanistan      Asia  1972  36.088 13079460  739.9811
## 6 Afghanistan      Asia  1977  38.438 14880372  786.1134

The mean life expectancy is 59.4744394 years.

The years surveyed in this data include: 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007. 
library(ggplot2) 
 ggplot(gm, aes(gdpPercap, lifeExp)) +  
   geom_point() +  
   scale_x_log10() +  
   aes(col=continent)

Session Information

 sessionInfo() 
## R version 3.3.1 (2016-06-21)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 10586)
## 
## locale:
## [1] LC_COLLATE=English_United Kingdom.1252 
## [2] LC_CTYPE=Chinese (Simplified)_China.936
## [3] LC_MONETARY=English_United Kingdom.1252
## [4] LC_NUMERIC=C                           
## [5] LC_TIME=English_United Kingdom.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] ggplot2_2.1.0 readr_1.0.0   dplyr_0.5.0  
## 
## loaded via a namespace (and not attached):
##  [1] knitrBootstrap_1.0.0 Rcpp_0.12.6          knitr_1.14          
##  [4] magrittr_1.5         munsell_0.4.3        colorspace_1.2-6    
##  [7] R6_2.1.2             stringr_1.0.0        plyr_1.8.4          
## [10] tools_3.3.1          grid_3.3.1           gtable_0.2.0        
## [13] DBI_0.5              htmltools_0.3.5      yaml_2.1.13         
## [16] assertthat_0.1       digest_0.6.10        tibble_1.1          
## [19] formatR_1.4          mime_0.5             evaluate_0.9        
## [22] rmarkdown_1.0        labeling_0.3         stringi_1.1.1       
## [25] scales_0.4.0         markdown_0.7.7