| case_control | R Documentation |
A case-control study dataset containing genetic marker mutation indicators as covariates.
data(case_control)
A data frame with 2000 rows and 16 variables:
Disease status (1 = case, 0 = control).
Binary mutation indicator for marker 1.
Binary mutation indicator for marker 2.
Binary mutation indicator for marker 3.
Binary mutation indicator for marker 4.
Binary mutation indicator for marker 5.
Binary mutation indicator for marker 6.
Binary mutation indicator for marker 7.
Binary mutation indicator for marker 8.
Binary mutation indicator for marker 9.
Binary mutation indicator for marker 10.
Binary mutation indicator for marker 11.
Binary mutation indicator for marker 12.
Binary mutation indicator for marker 13.
Binary mutation indicator for marker 14.
Binary mutation indicator for marker 15.
The dataset contains:
1000 cases and 1000 controls
15 binary genetic markers. Binary mutation indicator: 1=mutation, 0=wild type.
Number of mutations for each marker:
marker1: Total 19 (Cases 13)
marker2: Total 16 (Cases 11)
marker3: Total 16 (Cases 11)
marker4: Total 10 (Cases 7)
marker5: Total 13 (Cases 9)
marker6: Total 12 (Cases 8)
marker7: Total 10 (Cases 7)
marker8: Total 12 (Cases 8)
marker9: Total 11 (Cases 8)
marker10: Total 16 (Cases 11)
marker11: Total 19 (Cases 10)
marker12: Total 9 (Cases 3)
marker13: Total 14 (Cases 6)
marker14: Total 8 (Cases 5)
marker15: Total 7 (Cases 4)
data(case_control)
head(case_control, 3)
#1000 cases and 1000 controls
table(case_control$disease_status)
#Marker 1 has 13 mutations in cases and 6 mutations in controls.
table(case_control$disease_status, case_control$marker1)
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