Overview of quantitative research

Consider the different stages of research, usually software programs assist on data analysis

There are many tool for data analysis, here are some appealing factors to choose R

R environment

R works basically as a terminal where you type commands and see their output.

Since the R terminal is very limited, we will use RStudio

Open RStudio

Create a new R script

File > New file > R Script

Basic Commands

R packages

R package is a library of prewritten code designed for a particular task or a collection of tasks

Installing a new package (2 options)

1 Under Tools -> Packages tab -> Search for “psych” and “dplyr”

2 Using code: install.packages( )

Input

install.packages(c("ggplot2", "dplyr", "readr", "psych"))

Loading installed packages

Use the library command to load any installed packages

Input

library("ggplot2")
library("dplyr")
library("readr")
library("psych")

Changing your working directory

Set up a folder/path where data are located as a working directory

Trick: If you have saved the R script in the same directory as the workshop dataset, the command below will set the working directory automatically

Input

setwd(dirname(rstudioapi::getActiveDocumentContext()$path))