What is the method for importing data in R?

In R language, there are various methods for importing data, with common methods including:

1. Use the read.table() function to import data from a text file, for example data <- read.table("data.txt", header = TRUE, sep = "\t"), where "data.txt" is the file path, header indicates whether there is a table header, and sep represents the data separator.
2. Import the data from a CSV file using the read.csv() function, for example data <- read.csv("data.csv"), where "data.csv" is the path to the CSV file.
3. One option:
   To import data from an Excel file using the read.xlsx() function, you first need to install the readxl package. For example, data <- readxl::read_xlsx("data.xlsx"), where "data.xlsx" is the path to the Excel file.
4. Use the readRDS() function to import data from an RDS file, for example, data <- readRDS("data.rds"), where "data.rds" is the path to the RDS file.
5. To import SAS file data using the read_sas() function, you need to first install the haven package. For example, you can use data <- haven::read_sas("data.sas7bdat") where "data.sas7bdat" is the path to the SAS file.

These are some common methods for importing data, choose the appropriate method based on the data format and requirements.