rstap-datasets: Datasets for rstap examples

In Biostatistics4SocialImpact/rstap: Spatial Temporal Aggregated Predictor Models via 'stan'

Datasets for rstap examples

Description

Small datasets for use in rstap examples and vignettes.

Format

homog_longitudinal_bef_data

Simulated data for the longitudinal simulation

• subj_ID: The subject unique identifier

• measure_ID: The measurement unique identifier

• bef_ID The Built Environment Unique identifier

• measure_date The date at which the subject was measured

• date_open: The date at which the business opened

• date_close: The date at which the business may have closed; NA if the business is still open

• date: The date at which the subject first moved to the location associated with the distance and time with the built environment feature

• class: The kind of built environment feature. Only one is in the simulated dataset - "Coffee Shop"

• dist: The distance between the subject and BEF at the date to be associated with the measure ID

• time: The time for which the subject was "exposed" to the BEF at corresponding distance

Source: Longitudinal Vignette

homog_longitudinal_subject_data

• subj_ID: The subject unique identifier

• Income: Simulated continuous covariate

• measure_date: The simulated date the subject was measured

• ran_int: Random intercept generated for the longitudinal I simulation

• y: Continuous outcome simulated for longitudinal I simulation - meant to be akin to BMI

• y_bern: Bernoulli outcome simulated

• sex: Discrete 1-0 covariate simulated to be akin to sex

• Coffee_Shop: The "true" Coffee Shop Exposure covariate

• centered_income: scaled and centered version of Income covariate

• centered_age: scaled and centered version of Age covariate

Source: \hrefhttps://biostatistics4socialimpact.github.io/rstap/articles/longitudinal-I.htmlLongitudinal Vignette

homog_subject_data

• subj_idThe subject unique identifier

• yContinuous simulated outcome, meant to be BMI

• sexdiscrete factor coded "M" for male, "F" for females

Source: Introduction Vignette

homog_distance_data

• subj_id: The subject unique identifier

• BEF Built Environment Feature class identifier - only one included in this dataset "Fast_Food"

• Distance: The euclidean distance between the row's subject and Fast Food restaurant locations'

Source: Introduction Vignette

Biostatistics4SocialImpact/rstap documentation built on Aug. 1, 2022, 1:15 p.m.