viruslearner (version 0.0.2)

viral_new: Viral New Dataset

Description

The dataset contains information about patients, specifically their CD4 T cell counts (cd_2018, cd_2019, cd_2021, cd_2022, cd_2023) and viral loads (vl_2019, vl_2021, vl_2022, vl_2023). For modeling patient recovery and viral load persistence or suppression, column cd_2023 is identified as the outcome variable for CD4 cell counts, and column vl_2023 is identified as the outcome variable for viral load.

Usage

viral_new

Format

A data frame with 87 rows and 21 variables:

cd_2018

CD4 count in 2018.

cd_2019

CD4 count in 2019.

vl_2019

Viral load in 2019.

cd_2021

CD4 count in 2021.

vl_2021

Viral load in 2021.

cd_2022

CD4 count in 2022.

vl_2022

Viral load in 2022.

cd_2023

CD4 count in 2023.

vl_2023

Viral load in 2023.

Examples

# \donttest{
  # Load the dataset
  data("viral_new", package = "viruslearner")
  # Explore the dataset
  library(dplyr)
  dplyr::glimpse(viral_new)
# }