Working with R programming language


Introduction to R programming language

Recently started working on R with no choice (if let me choose, i always go for Python). But this seem to be not a bad thing that I started learning a new tool, new language syntax for data science.

Without saying much fancy words, here are I am listing several important things about R:

Installing and Updating Packages

# install single package

# install multiple package
install.packages(c("sf", "ggmap"))

# install specific version
version = "3.5.2"

# check installed packages

# update, without prompts for permission/clarification
update.packages(ask = FALSE)

Shortcut :

# day to day R packages
list.of.packages <- c(

new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]

if(length(new.packages)) install.packages(new.packages)

Custom Functions

Do not Repeat Yourself (DRY) is a general philosophy in Computer Science, so, I decided to create some custom functions to aid me on R:

#> Load custom functions to reuse in the code
#>> azt::function -> Wrap rpart.plot 
rplot <- function(model, main = "Tree") {
    type = 4,
    extra = 101,
    roundint = FALSE,
    nn = TRUE,
    main = main

#>> azt::function -> Count leaf nodes of a given model
nleaf <- function(model) {
  sum(model$frame$var == "<leaf>")

#>> azt::function -> Return the best CP value for given model
bestcp <- function(model){