R Programming Lab Test Answers and Solutions for Beginners

The R Programming Lab Test Answers page provides verified solutions for every R lab question. Each example includes RStudio code for dataframes, CSV imports, and mean calculations using the aggregate() function.

Step-by-Step R Solutions Explained

Students can explore how to create, modify, and export dataframes in R. The R Programming Lab Test for Beginners solutions focus on understanding how data analysis works through real datasets. Moreover, these answers improve problem-solving and coding logic effectively.

Enhance Your R Programming Practice

Additionally, each R lab solution includes comments and explanations, making it easy to learn syntax and functions like data.frame(), read.csv(), and write.csv(). Therefore, these solutions are ideal for beginners who want practical experience with R data operations.

student_id <- c("S01","S02","S03","S04","S05","S06","S07","S08","S09","S10","S11","S12","S13","S14","S15")
Math <- c(85,60,88,47,59,90,73,93,66,93,69,83,79,80,90)
Science <- c(47,54,87,41,72,81,77,91,57,61,46,56,47,58,44)
English <- c(38,52,46,46,38,88,70,55,54,48,80,40,83,81,40)
Social_Science <- c(65,43,84,57,55,58,30,84,57,41,74,88,40,54,59)

student_marks <- data.frame(
  StudentID = student_id,
  Math = Math,
  Science = Science,
  English = English,
  Social_Science = Social_Science
)
    

write.csv(student_marks, "student_marks.csv", row.names = FALSE)
    

marks <- read.csv("student_marks.csv", stringsAsFactors = FALSE)
head(marks)
    

mean_math <- mean(marks$Math)
mean_science <- mean(marks$Science)
mean_english <- mean(marks$English)
mean_social <- mean(marks$Social_Science)
    

mean_data <- data.frame(
  Math = round(mean_math, 2),
  Science = round(mean_science, 2),
  English = round(mean_english, 2),
  Social_Science = round(mean_social, 2)
)
mean_data
    

aggregate(. ~ 1, data = marks[, c("Math","Science","English","Social_Science")], FUN = mean)