Module #9 Assignment

 

Module #9 Assignment


Generating a simple table for the given data.frame assignment_data:


simple_table <- assignment_data[, c("Country", "age", "salary", "Purchased")]



Generating a contingency table using the mtcars dataset:


assignment9 <- table(mtcars$gear, mtcars$cyl, dnn = c("gears", "cylinders"))



2.1. Adding row and column totals to the assignment9 table using addmargins:


assignment9_with_totals <- addmargins(assignment9)



2.2. Calculating proportional weights of each value in the assignment9 table using prop.tables:


proportional_weights <- prop.table(assignment9)



2.3. Calculating row proportions in the assignment9 table using prop.table with margin = 1:


row_proportions <- prop.table(assignment9, margin = 1)


Code & Table:


assignment_data <- data.frame(

  Country = c("France", "Spain", "Germany", "Spain", "Germany", "France", "Spain", "France", "Germany", "France"),

  age = c(44, 27, 30, 38, 40, 35, 52, 48, 45, 37),

  salary = c(6000, 5000, 7000, 4000, 8000),

  Purchased = c("No", "Yes", "No", "No", "Yes", "Yes", "No", "Yes", "No", "Yes")

)


simple_table <- assignment_data[, c("Country", "age", "salary", "Purchased")]



library(datasets)

data(mtcars)

assignment9 <- table(mtcars$gear, mtcars$cyl, dnn = c("gears", "cylinders"))



assignment9_with_totals <- addmargins(assignment9)



proportional_weights <- prop.table(assignment9)



row_proportions <- prop.table(assignment9, margin = 1)



print("Simple Table:")

print(simple_table)


print("Contingency Table with Totals:")

print(assignment9_with_totals)


print("Proportional Weights:")

print(proportional_weights)


print("Row Proportions:")

print(row_proportions)






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