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Meteorite | Level 14
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Posted 03-01-2022 06:52 AM
(2946 views)
Hello
I want to find the following percentiles of invoice variable:
P5,P10,P15,P20,P25,P30,P35,P45,P45,P50,P55,P60,P65,P70,P75,P80,P85,P90,P95,P100
I want to classify each row to the relevant percentile group.
If value of invoice variable is between 0 and P5(Included) then it will belong to "P5"
If value of invoice variable is between P5(not included) and P10(included) then it will belong to "P10"If value of invoice variable is between P10(not included) and P15(included) then it will belong to "P15"
and so on
What is the way to do it please?
proc univariate data =sashelp.cars noprint;
var invoice;
output out=outdata PCTLPTS = 5 to 100 by 5 PCTLPRE = P;
run;
7 REPLIES 7
Super User
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Why not use PROC RANK ?
proc rank data=sashelp.cars out=have groups=20;
var invoice;
ranks rank;
run;
proc sql;
create table want as
select rank,invoice,max(invoice) as want
from have
group by rank
order by 1,2;
quit;
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PROC RANK does it for you, you can do it manually but it's cleaner to use PROC RANK. And faster...
Meteorite | Level 14
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Hello
The reason that I am not using proc rank is that it doesn't do it well.
I want to calculate 100 percentiles and then classify each observation to the relevant percentile group.
When I use proc rank I get jumps sometimes and cannot see all percentiles as I asked to do
Meteorite | Level 14
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Please look here, I want to see also percentile 19 but cannot see it
Data have;
input PD;
cards;
0.0140522674
0.0025029073
0.0379975278
0.0629117616
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;
Run;
proc sort data=have;
by descending pd ;
Run;
/*Worse customers first**/
proc rank data=have groups=100 descending out=want ;
var PD;
ranks Percentile;
run;
proc sql;
select Percentile label='percentile of PD',
count(*) as nr
from want
group by Percentile
;
quit;
Super User
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That means you have a lot of ties/duplicates. Graph the frequencies of your percentiles.
I do see a lot of repeated values. Look at the PROC RANK doc and see the options for dealing with ties.
I do see a lot of repeated values. Look at the PROC RANK doc and see the options for dealing with ties.
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And you'd get the same answer using percentiles.
Diamond | Level 26
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Your data has ties, so that's how PROC RANK handles things. PROC UNIVARIATE will do the same. (Yes, there are options on how to handle ties) You have to determine how you want to handle ties, and then you (or we) can probably create a way to handle this.
But as in your previous thread, you can't just say the answer isn't what you want. I told you in that other thread, and I repeat now: You have to tell us what you DO want.
You seem to have changed your request in the middle of this thread, you started by asking for P5, P10, P15, P20, ... so you can classify each observation (exactly what PROC RANK does), and then you write code that produces 100 groups (why?) ... so again, we don't know what you want.
Also, your code as shown
proc rank data=have groups=100 descending out=want ;
var PD;
ranks Percentile;
run;is not the PROC RANK code @Ksharp proposed in this thread, his answer makes a lot of sense, and I like his answer a lot, and I think you'd like it too (although I'm still guessing what you want ... but his code does exactly what your original explanation above asks for). Apparently you haven't tried it.
--
Paige Miller
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