What is the method for loading data in the R programming language?

1 year ago
Liam
1 minute

There are various methods to load data in R language, with commonly used methods including:

  1. Load text file data using the read.table() function, for example: data <- read.table("data.txt", header=TRUE).
  2. Load data from a CSV file using the read.csv() function, for example: data <- read.csv("data.csv").
  3. Before using the read.xlsx() function to load data from an Excel file, you need to install the “readxl” package first. For example: data <- read_excel("data.xlsx").
  4. Load a data file saved in RDS format using the readRDS() function, for example: data <- readRDS("data.rds").
  5. Load the data file saved in RData format using the load() function, for example: load(“data.RData”).
  6. Load tab-separated text file data using the read.delim() function, for example: data <- read.delim("data.txt", header=TRUE).
  7. Load remote data using the GET() function from the httr package, for example: library(httr); data <- GET("http://example.com/data.csv").

The appropriate loading method can be selected based on the format and storage method of the data files.

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