The correct answer is D. all of the mentioned.

The read.table function is used to read a table from a file into a data frame. The file can be in a variety of formats, including text, CSV, and Excel. The read.table function has a number of parameters that control how the data is read. The most important parameters are:

• file: The name of the file to read.
• header: A logical value indicating whether the file has a header row.
• sep: A character string indicating the separator between columns.

The other parameters control more specific aspects of the read process, such as the encoding of the file and the names of the columns.

The read.table function is a powerful tool for reading data from files. It is easy to use and can read a variety of file formats. The parameters of the read.table function allow you to control how the data is read, making it a versatile tool for data analysis.

Here is an example of how to use the read.table function to read a text file into a data frame:

“`
library(readr)

df <- read.table(“data.txt”, header = TRUE, sep = “,”)

head(df)

a b c

1 1 2 3

2 4 5 6

3 7 8 9

4 10 11 12

5 13 14 15

“`

The read.table function has read the data from the file “data.txt” and created a data frame called df. The data frame has three columns, a, b, and c. The first row of the data frame contains the column names. The remaining rows contain the data.