Learning how to import data

Load Packages

haven

# Check if haven is already installed and if it is, load it.
if (!require(haven)){
  # If it's not intalled, then tell R to install it.
  install.packages("haven", dependencies = TRUE)
  # Once it's installed, tell R to load it.
  library(haven)
}

Loading required package: haven

Tidyverse

if (!require(tidyverse)){
  install.packages("tidyverse", dependencies = TRUE)
  library(tidyverse)
}

Loading required package: tidyverse

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.1     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

openxlsx

if (!require(openxlsx)){
  install.packages("openxlsx", dependencies = TRUE)
  library(openxlsx)
}

Loading required package: openxlsx

import Data

Excel

dataset.xls <- read.xlsx("https://osf.io/download/7fz89/")

CSV

dataset.csv <- read.csv("https://osf.io/download/wtghz/")

SPSS

dataset.spss <- read_sav("https://osf.io/download/kd4ej/")

SPSS from the web

dataset.spss.web <- read_sav("https://osf.io/kd4ej/download")