I used sqldf packges in R.
I tried:
project=sqldf('select distinct
ID
, sex
, case when age<30 then "1" --20대
when age<40 then "2" --30대
when age<50 then "3" --40대
when age<60 then "4" --50대
when age<70 then "5" --60대
when 70<=age then "6" --70대
end as age
, ho_incm
, town_t
, case when tins in (10, 20) then "1" --국민건강보험
when tins=30 then "2" --의료급여
end as tins
, edu
, marri_1 in (1, 2) then marri_1 --1:기혼, 2:이혼
end as marri_1
, case when EC1_1 in (1, 2) then EC1_1 --1:취업, 2:실업
end as EC1_1
, case when BS3_1 in (1, 2) then "1" --현재흡연
when BS3_1=3 then "2" --과거흡연
when BS3_1=8 then "3" --비흡연
end as BS3_1
, case when BD1_11 in (1, 2) then "2" --비음주
when BD1_11 in (3, 4, 5, 6) then "1" --음주
end as BD1_11
, case when BP1 in (1, 2) then "1" --스트레스 많이느낌
when BP1 in (3, 4) then "2" --스트레그 적게느낌
end as BP1
, case when HE_BMI<18.5 then "1" --저체중
when 18.5<=HE_BMI<23 then "2" --정상
when 23<=HE_BMI<25 then "3" --과체중
when 25<=HE_BMI then "4" --비만
end as HE_BMI
, case when DL1_dg in (0, 1) then DL1_dg --0:무, 1:유
end as DL1_dg
FROM data
WHERE AGE >= 19
')
But then I got an error message
Error: near "then": syntax error
Any help will be appreciated.
project=sqldf('select distinct
ID
, sex
, case when age<30 then "1" --20대
when age<40 then "2" --30대
when age<50 then "3" --40대
when age<60 then "4" --50대
when age<70 then "5" --60대
when 70<=age then "6" --70대
end as age
, ho_incm
, town_t
, case when tins in (10, 20) then "1" --국민건강보험
when tins=30 then "2" --의료급여
end as tins
, edu
, marri_1 in (1, 2) then marri_1 --1:기혼, 2:이혼
end as marri_1
, case when EC1_1 in (1, 2) then EC1_1 --1:취업, 2:실업
end as EC1_1
, case when BS3_1 in (1, 2) then "1" --현재흡연
when BS3_1=3 then "2" --과거흡연
when BS3_1=8 then "3" --비흡연
end as BS3_1
, case when BD1_11 in (1, 2) then "2" --비음주
when BD1_11 in (3, 4, 5, 6) then "1" --음주
end as BD1_11
, case when BP1 in (1, 2) then "1" --스트레스 많이느낌
when BP1 in (3, 4) then "2" --스트레그 적게느낌
end as BP1
, case when HE_BMI<18.5 then "1" --저체중
when 18.5<=HE_BMI<23 then "2" --정상
when 23<=HE_BMI<25 then "3" --과체중
when 25<=HE_BMI then "4" --비만
end as HE_BMI
, case when DL1_dg in (0, 1) then DL1_dg --0:무, 1:유
end as DL1_dg
FROM data
WHERE AGE >= 19
')