What are the methods for reading data in the R language…

In R programming language, there are multiple ways to import data. Here are some commonly used methods:

Use the read.csv() or read.table() function to read comma-separated values (CSV) files or text files separated by tabs.

data <- read.csv("file.csv") # 读取CSV文件
data <- read.table("file.txt", sep="\t") # 读取以制表符分隔的文本文件

To extract data from an Excel file, you must first install and load the readxl package and use the read_excel() function.

library(readxl)
data <- read_excel("file.xlsx") # 读取Excel文件

Use the read.delim() function to read any type of text file and specify the delimiter.

data <- read.delim("file.txt", sep="|") # 读取以竖线分隔的文本文件

4. Use the readRDS() function to read RDS files (binary formatted R data files).

data <- readRDS("file.rds") # 读取RDS文件

5. Use the readLines() function to read a text file line by line and store it as a character vector.

lines <- readLines("file.txt") # 逐行读取文本文件

These are some common methods for reading data using the R language, the specific method you use will depend on the type of data you are reading and the file format.