HW2 solution

1. Create a .do file

capture log close 
log using hw2.lastname.firstname.log

// code

log close

2. Name your .do file

• Copy and paste the above .do file structure into your .do file

• Save it as hw2.lastname.firstname.do

3. It should create a .log file

• Done! (See section 1 above)

4. Display only the output of interest

You’d not yet covered the quietly command at the time, but here’s how to go about it:

quietly {

   // the rest of your do-file content, indented

}

Questions 1 & 2

Putting it all together:

 qui {
   cls 
   capture log close
   log using hw2.lastname.firstname.log, replace
   
   // settings
   global dataset "https://jhustata.github.io/book/_downloads/884b9e06eb29f89b1b87da4eab39775d/hw1.txt"
  set timeout1 1000

   // dataset
   import delimited $dataset, clear
   describe //to view your data "dictionary"; initially do so noisily  

   //q1
   sum init_age if female==0, detail
   local age_m_p50: di %2.0f `r(p50)'
   local age_m_p25: di %2.0f `r(p25)'
   local age_m_p75: di %2.0f `r(p75)'

   sum init_age if female==1, detail
   local age_f_p50: di %2.0f `r(p50)'
   local age_f_p25: di %2.0f `r(p25)'
   local age_f_p75: di %2.0f `r(p75)'
   noisily di "Question 1: The median [IQR] age is `age_m_p50' [`age_m_p25'-`age_m_p75'] among males and `age_f_p50' [`age_f_p25'-`age_f_p75'] among females."

   //q2
   sum if female==0 & prev==1, detail
   local male_per: di %2.1f `r(mean)'*100

   sum if female==1 & prev==1, detail
   local female_per: di %2.1f `r(mean)'*100

   noi di "Question 2: `male_per'% among males and `female_per'% among females have history of previous transplant"

   log close
}

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