There are many programming languages named with the one letter. For example, we can include C or D languages but have you ever heard about R language? Let’s see what it especially is.
R is a programming language for statistical computing, for example it includes also machine learning algorithms or linear regression to create graphical charts in a simple way. Most of the R libraries are developed in R, but for strong calculations, C++ codes are preferred.
Data analysis with use of this language is computed in a few steps: programming, transforming, discovering, modeling and show the results. The R language is widely used not only by scientists, but many large companies also use it for reach their purposes, especially including Google, Facebook or Uber.
Let’s produce simple chart with R
library(ggplot2) # Define 3 vectors # Lions are marked in blue, tigers are marked in red, yauars are marked in green lions <- c(1, 3, 6, 4, 9) tigers <- c(2, 5, 4, 5, 12) yaguars <- c(3, 1, 7, 8, 12) # Graph lions using a y axis that ranges from 0 to 12 plot(lions, type="o", col="blue", ylim=c(0,12)) # Graph tigers with red dashed line and square points lines(tigers, type="o", pch=22, lty=2, col="red") # Graph yaguars with green dashed line and square points lines(yaguars, type="o", pch=22, lty=2, col="green") # Create a title with a red, bold/italic font title(main="Cats", col.main="red", font.main=4)
The above code should generate the following chart:
As you can see, with R we can produce complex graphs with less code. For this example I used the RStudio editor with the ggplot2 library previously installed.