#Configuring RStudio Environement
Required packages and libraries:
options(repos = list(CRAN="http://cran.rstudio.com/"))
install.packages("dplyr")
## package 'dplyr' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\Admin\AppData\Local\Temp\Rtmp6RSDe9\downloaded_packages
library(dplyr)
install.packages("tidyverse")
## package 'tidyverse' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\Admin\AppData\Local\Temp\Rtmp6RSDe9\downloaded_packages
library(ggplot2)
library(data.table)
The following function will allow us pull data from Velocity:
PullVelocityData <- function(endpoint.url){
raw.results <- readLines(endpoint.url)
to.return <- data.table(jsonlite::fromJSON(raw.results))
setnames(to.return, tolower(names(to.return)))
return(to.return)
}
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You can also embed plots, for example:
Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.