unique_ref priority_201801 balance_201801 action_201801 priority_201802 balance_201802 action_201802 priority_201803 balance_201803 action_201803
1 1 3 30 text,letter 1 60 letter 2 30 text
2 2 2 -20 visit 1 -40 text 2 -40 call
3 3 3 35 letter 1 35 call 3 -50 text
4 4 0 -100 call 2 0 visit 2 100 call
priority_201804 balance_201804 action_201804
1 99 0 text
2 0 -20 visit
3 0 -50 letter
4 0 -100 text
Above is a sample of my dataset. I want to search through each action looking for the first instance of the action "text", this will then be Week0, I then want to line up the priority's and balances of the next weeks, as Week1, Week2 etc.
Desirable output:
unique_ref week0_priority week0_balance week0_action week1_priority week1_balance week1_action week2_priority week2_balance week2_action
1 1 3 30 text 1 60 letter 2 30 text
2 2 1 -40 text 2 -40 call 0 -20 visit
3 3 3 -50 text 0 -40 letter No Data No Data No Data
4 4 0 -100 text No Data No Data No Data No Data No Data No Data
week3_priority week3_balance week3_action
1 99 0 text
2 No Data No Data No Data
3 No Data No Data No Data
4 No Data No Data No Data
Reproducible example of data:
unique_ref=c(1,2,3,4)
priority_201801=c('3','2','3','0')
balance_201801=c('30','-20','35','-100')
action_201801=c('text,letter','visit','letter','call')
priority_201802=c('1','1','1','2')
balance_201802=c('60','-40','35','0')
action_201802=c('letter','text', 'call', 'visit')
priority_201803=c('2','2','3','2')
balance_201803=c('30','-40','-50','100')
action_201803=c('text','call','text','call')
priority_201804=c('99','0','0','0')
balance_201804=c('0','-20','-50','-100')
action_201804=c('text','visit','letter','text')
df3=as.data.frame(cbind(unique_ref,priority_201801,balance_201801,action_201801,priority_201802,balance_201802,action_201802,priority_201803,
balance_201803,action_201803,priority_201804,balance_201804,action_201804))
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