mylongevity_method1: mylongevity_method1

In ilyasstatistics/mylongevity: Calculation of life expectancy (Calculation of life expectancy)

Description

This function loads a file as a data frame of clients. Using the argument 'indexes_of_variables', this function selects the columns of factors and matches them to outcomes of life expectancy calculator https://mylongevity.org/about

Usage

mylongevity_method1(data, indexes_of_variables)

Arguments

data	given data frame of clients
indexes_of_variables	indices for columns of interest.

Details

This method matches the attributes of inputted data with results of life expectancies from the landmark analysis described in Kulinskaya et al. (2020c). For a set of given attributes, this method produces a table with life expectancies at a given age similar to those provided on the website https://mylongevity.org/ , see also Kulinskaya et al. (2020a).

For mylongevity_method1, user has to specify the data and columns using the argument indexes_of_variables in following order: age,gender,townsend,smokerCategory,htn,diabetesCategory,hcl,bmiCategory,qRiskCategory,statins.

The definition of columns are: - age is a variable with numeric value which stands for number of years from the date of birth. age should only take values between 60 and 85 - Gender is a string variable which stands for gender of individual with possible values "M" for males and "F" for females - Townsend is a deprivation index which takes values 1 (least deprived), 2, 3, 4, 5 (most deprived). The Townsend variable measures the prosperity of area where individual lives. - smokerCategory is a categorical variable with numeric value which defines if individual is smoker or not: (1 - no smoker, 2 - ex smoker, 3 - smoker) - htn is a categorical variable with numeric value for treated hypertension status. 1 - no hypertension, 2 - treated hypertension, 3 - untreated hypertension - diabetesCategory is a categorical variable with numeric value for diabetes status. 0 - no diabetes, 1 - diabetes - hcl is a categorical variable with numeric value for hypercholesteromia. 0 - no hypercholesteromia, 1 - hypercholesteromia - bmiCategory is a categorical variable with numeric value for Body Mass Index categories (1 - Healthy weight (BMI<25), 2 - Overweight (BMI>=25 and BMI<30), 3 - Obese (BMI>=30)) - qRiskCategory is a categorical variable with numeric value for cardiovascular disease risk measured by QRISK2 https://qrisk.org/2017/ (2 - for low risk (QRISK2<20), 0 - for moderate risk (QRISK2>=20 and QRISK2<40), 1 - for high risk (QRISK2>=40 or diagnosis of CVD)) - statins is a categorical variable with numeric value for statin prescription status (0 - no statin intake, 1 - on statin/prescribed statin)

Value

data frame with life expectancies for given data frame of clients

Examples

set.seed(1234)
n<-1000
age <-round(runif(n, min = 60, max = 85))
gender <- c(rep('M',times=n/2),rep('F',times=n/2))
townsend <- round(runif(n, min = 1, max = 5))
smokerCategory <- round(runif(n, min = 1, max = 3))
htn  <- round(runif(n, min = 1, max = 3))
diabetesCategory  <- round(runif(n, min = 0, max = 1))
hcl <- round(runif(n, min = 0, max = 1))
bmiCategory <- round(runif(n, min = 1, max = 3))
qRiskCategory <- round(runif(n, min = 0, max = 2))
statins <- round(runif(n, min = 0, max = 1))
data_of_clients <-data.frame(age,gender,townsend,smokerCategory,htn,diabetesCategory,hcl,bmiCategory,qRiskCategory,statins)
indexes_for_columns <- c(1,2,3,4,5,6,7,8,9,10)
mylongevity_method1(data=data_of_clients,indexes_of_variables=indexes_for_columns)

ilyasstatistics/mylongevity documentation built on Aug. 28, 2021, 4:51 p.m.