| hiv {DiscreteDatasets} | R Documentation |
HIV data
Description
This data set has been analyzed and provided by the listed reference. Examined were two groups with different types of HIV (Type B and Type C), each consisting of 73 participants. Within both groups the number of amino-acid mutations at each position was determined.
Usage
data("hiv")
data("hiv_four_columns")
Format
hiv is a data.frame with 118 rows and the following two
columns:
- TypeC
Number of test subjects with HIV type C and mutated i-th amino acid.
- TypeB
Number of test subjects with HIV type B and mutated i-th amino acid.
Thus, each row describes a 2x2 table:
| Subject 1 | Mutation | No mutation |
| Type C | X_{i, 1} | 73 - X_{i, 1} |
| Type B | X_{i, 2} | 73 - X_{i, 2}
|
hiv_four_columns is a data.frame with 118 rows and the
following four columns:
- TypeC.Mutation
Number of test subjects with HIV type C and mutated i-th amino acid.
- TypeB.Mutation
Number of test subjects with HIV type B and mutated i-th amino acid.
- TypeC.NoMutation
Number of test subjects with HIV type C and non-mutated i-th amino acid.
- TypeB.NoMutation
Number of test subjects with HIV type B and non-mutated i-th amino acid.
Thus, each row describes a 2x2 table:
| Subject 1 | mutation | no mutation |
| Type C | X_{i, 1} | X_{i, 3} |
| Type B | X_{i, 2} | X_{i, 4}
|
Note
The original hiv dataset has been taken from the
fdrDiscreteNull package, where it is
named hivdata.
References
Gilbert, P. B. (2005). A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics. Journal of the Royal Statistical Society, 54(1), pp. 143-158. doi:10.1111/j.1467-9876.2005.00475.x