A data frame containing the frequency of execution of 13 house tasks in the couple.
It is the data set used in the Datanovia tutorial “Chi-Square Test of Independence in R: Are Two Variables Associated?” (https://www.datanovia.com/learn/biostatistics/categorical/chi-square-test-of-independence-in-r).
data("housetasks.raw")A data frame with 1744 rows and 2 columns (stored as a tibble). Each row is one recorded performance of a household task, recovered from the original contingency table.
the household task, one of 13 categories: "Laundry", "Main_meal", "Dinner", "Breakfeast", "Tidying", "Dishes", "Shopping", "Official", "Driving", "Finances", "Insurance", "Repairs" and "Holidays". ("Breakfeast" is a misspelling of "Breakfast" carried over from the source data.)
who performs the task: "Partner1", "Alternating", "Parter2" or "Jointly". The two partner categories were relabeled from the source data's "Wife" and "Husband"; "Parter2" is a misspelling of "Partner2" retained as-is in the stored data.
Derived from the housetasks data set in the factoextra
package, with its "Wife" and "Husband" columns relabeled "Partner1" and
"Partner2", expanded to one row per recorded case.
Datanovia tutorial: Chi-Square Test of Independence in R: Are Two Variables Associated?.
data(housetasks.raw)
table(housetasks.raw)
#> status
#> tasks Partner1 Alternating Parter2 Jointly
#> Laundry 156 14 2 4
#> Main_meal 124 20 5 4
#> Dinner 77 11 7 13
#> Breakfeast 82 36 15 7
#> Tidying 53 11 1 57
#> Dishes 32 24 4 53
#> Shopping 33 23 9 55
#> Official 12 46 23 15
#> Driving 10 51 75 3
#> Finances 13 13 21 66
#> Insurance 8 1 53 77
#> Repairs 0 3 160 2
#> Holidays 0 1 6 153
# Chi-square test of association between task and who performs it
chisq.test(table(housetasks.raw$tasks, housetasks.raw$status))
#>
#> Pearson's Chi-squared test
#>
#> data: table(housetasks.raw$tasks, housetasks.raw$status)
#> X-squared = 1944.5, df = 36, p-value < 2.2e-16
#>