The correct answer is C. read.table.
read.table is a function in R that is used to read data from a flat file into a data frame. A flat file is a text file that contains data in a tabular format. The data in a flat file can be separated by commas, tabs, or spaces.
The read.table function takes a number of arguments, including the file name, the delimiter, and the header. The file name is the name of the flat file that you want to read. The delimiter is the character that separates the columns in the flat file. The header is a logical value that indicates whether the first row of the flat file contains column names.
If the header is TRUE, then the first row of the flat file will be used as the column names. If the header is FALSE, then the first row of the flat file will be used as the data.
The read.table function returns a data frame. A data frame is a two-dimensional data structure that is similar to a table. A data frame has rows and columns. The rows represent the observations, and the columns represent the variables.
The following example shows how to use the read.table function to read data from a flat file into a data frame:
“`
library(readr)
data <- read.table(“data.txt”, sep=”,”, header=TRUE)
head(data)
id age sex height weight
1 1 20 M 170 70
2 2 25 F 160 55
3 3 30 M 180 80
4 4 35 F 150 60
5 5 40 M 190 90
6 6 45 F 140 55
“`
The read.table function is a powerful tool that can be used to read data from a variety of sources. It is a common function that is used in many R scripts.