qphen {qvirus} | R Documentation |
Quantum Phenotype Interactions in HIV Model
Description
The qphen
dataset contains 176 observations and 24 variables, representing classified phenotype interactions in a quantum game-theoretic model of HIV phenotypes.
The data includes CD4 and viral load differences, quantum game strategies, classification clusters, and tuberculosis/genoresistance indicators.
Usage
data(qphen)
Format
A data frame with 176 rows and 24 variables:
- id
(double) Unique identifier for each observation.
- vl_diff
(double) Difference in viral load (log scale) between time points.
- cd_diff
(double) Difference in CD4 count between time points.
- vlogs_diff_mean
(double) Mean difference of viral loads across the dataset.
- cds_diff_mean
(double) Mean difference of CD4 counts across the dataset.
- n
(double) Number of cases in each interaction cluster.
- payoffs
(double) Computed payoff for the phenotype interaction.
#'
- payoffs_b
(double) Alternative computed payoff.
- nearest_payoff
(double) Closest estimated payoff value.
- classification_2
(double) Cluster assignment for phenotype interactions (second clustering method).
- classification_3
(double) Cluster assignment for phenotype interactions (third clustering method).
- classification_4
(double) Cluster assignment for phenotype interactions (fourth clustering method).
- phen_1
(double) Phenotype type (
v
orV
).- str1_2
(double) Strategy of the first phenotype using
X
,T
, orH
gate (binary encoding).- str1_3
(double) Alternative strategy of the first phenotype.
- str2_2
(double) Strategy of the second phenotype using
H
,Id
,S
,T
,X
,Y
, orZ
gate (binary encoding).- str2_3
(double) Alternative strategy of the second phenotype.
- str2_4
(double) Alternative strategy of the second phenotype.
- str2_5
(double) Alternative strategy of the second phenotype.
- str2_6
(double) Alternative strategy of the second phenotype.
- str2_7
(double) Alternative strategy of the second phenotype.
- batch_1
(double) Indicates whether predictions were made on full data or batch data.
- TB_1
(double) Indicator for tuberculosis presence (1 = TB, 0 = no TB).
- GR_1
(double) Indicator for genoresistance presence (1 = resistant, 0 = non-resistant).
Examples
data(qphen)
head(qphen)