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I collapsed the responses for incomeperperson alcconsumption 聽hivrate 聽and co2emissions to create four 聽new variables: income alccons 聽hivrt ce. For income , the most commonly endorsed response was 1 (89.20%), meaning that most countries have an income per person 聽of greater than 20%. For alccons, the most commonly endorsed response was 1 (99.53%), meaning that almost many of the countries have an alcohol consumption rate of less than 20% . For hivrt, the most commonly endorsed response was 1 (98.59%), meaning that in most countries people who are having hivrate is less than 聽20% .For ce,the most commonly endorsed response was 3 (93.90%),meaning that most of the countries are having 聽co2emissions of greater than 80%.
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LIBNAME mydata "/courses/d1406ae5ba27fe300 " access=readonly; DATA new; set mydata.gapminder;
Keep country incomeperperson alcconsumption 聽hivrate co2emissions income alccons 聽hivrt ce;
/*data management for incomeperperson*/
if incomeperperson 聽<=60 then income = 3; if incomeperperson 聽<=60 and incomeperson >=20 then income = 2; if incomeperperson 聽>20 then income = 1;
/*data management for alcconsumption*/ if alcconsumption <20 then alccons ="1"; if alcconsumption >=20 and alcconsumption <40 then alccons = "2"; if alcconsumption >=40 and alcconsumption <65 then alccons = "3"; if alcconsumption >=60 and alcconsumption <90 then alccons = "4"; if alcconsumption >90 聽then alccons = "5";
/*data management for hivrt*/
if hivrate <20 then hivrt ="1"; if hivrate >=20 and hivrate <30 then hivrt = "2"; if hivrate >=30 and hivrate <60 then hivrt = "3"; if hivrate >=60 and hivrate <85 then hivrt = "4"; if hivrate >85 聽then hivrt = "5";
/*data management for co2emissions*/
if co2emissions <10 then ce ="1"; if co2emissions >=10 and co2emissions <=80 then ce = "2"; if co2emissions >80 聽then ce = "3"; run;
PROC FREQ; TABLES income alccons hivrt ce; RUN;
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NESARC codebook
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