hiv: HIV data

In DiscreteDatasets: Example Data Sets for Use with Discrete Statistical Tests

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1467-9876.2005.00475.x")}

DiscreteDatasets documentation built on April 4, 2025, 2:22 a.m.