qui {
//ChatGPT wrote this script following a few instructions from me
* I'll indicate with `*` the points I edited for it to work
//Very impressive since this was a first iteration
clear
// Set the number of students and sessions
local nstudents 100
local nsessions 8
// Create an empty dataset
set obs 8
gen student_id = .
gen session = .
gen sbp = .
gen session_date = .
// Loop over each student
forvalues i = 1/`nstudents' {
// Generate data for each session for the current student
forvalues j = 1/`nsessions' {
// Generate student ID
replace student_id = `i'
// Generate session
replace session = `j'
// Generate simulated systolic blood pressure measurements
set seed `i'`j' // Set seed based on student and session
replace sbp = rnormal(120, 10)
// Append data for the current session to the dataset
*append
*ChatGPT included the "append" command with no additional syntax
}
*I inserted this line of code
if c(os) == "MacOSX" {
save student`i', replace
}
else {
save student`i', replace
}
}
* ChatGPTs contribution ends at this point
clear
forvalues i=1/`nstudents' {
append using student`i'.dta
*Please understand what mess is wrought by blocking this "rm" line of code
rm student`i'.dta
}
* Sort the dataset
sort student_id session
* Display the first few observations
list student_id session sbp in 1/10
* Not what we wanted
bys student_id: replace session=_n
* Let's include the dates
local session_date=d(28mar2024)
forvalues i=1/8 {
replace session_date=`session_date' if session==`i'
local session_date=`session_date' + 7
}
format session_date %td
codebook
replace sbp=round(sbp)
if c(os) == "MacOSX" {
save student_pressure, replace
}
else {
save student_pressure, replace
}
count
capture isid student_id
if _rc !=0 {
di `"Observations are nested within "student_id" "'
}
else {
di `"student_id" uniquely identifies observations"'
}
}