## library(R202) ## library(ggplot2) ## load("../R/sysdata.rda") knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.align = "center", warning = FALSE, message = FALSE, echo = FALSE, fig.width = 7, height = 6 ) axis.size <- 20 font <- "Times"
R
is a FREE programming language / environment that is often used for statistical analysis and graphing. R
is an amazing tool that is widely used by data scientists, researchers, and professionals from all fields. It has built-in statistical tools that help facilitate both qualitative and quantitative analysis of data. It is open-source and helps facilitate reproducible research. You can read more about it here.
Developed in 1993 by Professors from the University of Auckland, R is one of the most commonly used programming languages for data science. Ranked at the 10th most popular programming language (see the Tiobe Index); R is a vital skill for most data scientists.
On a side note, the name R comes not from a grand scheme of meaning; the two scientists who developed the language both have names that begin with R.
R Studio is known as an integrated development environment (IDE), a tool that contains all resources to develop R at any level. The layout of R studio is given as follows:
You will see four panes within the R Studio window.
In the upper left pane we have the .Rmd file that we are working on.
In the upper right pane we have our current environment which includes any loaded data, variables, or functions.
In the lower right pane we will view plots, install packages, and get help on functions.
In the lower left pane we have the Console. This is where you will execute code. This also acts like a computer.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.