data test;
input Index Indicator value FinalValue;
datalines;
1 0 5 21
1 1 21 21
2 1 0 0
3 0 4 7
3 1 7 7
3 0 8 7
3 0 2 7
4 1 1 1
4 0 4 1
;
run;
I have a data set with the first 3 columns. How do I get the 4th columns based on the indicators? For example, for the index, when the indicator =1, the value is 21, so I put 21 is the final values in all lines for index 1.
Use the SAS Retain Keyword.
You can do this in a data step; by Retaining the Value where indicator = 1.
Steps:
Sort your data by Index and Indicator
Group by the Index & Retain the Value where Indicator=1
Code:
/*Sort Data by Index and Indicator & remove the hardcodeed finalvalue*/
proc sort data=test (keep= Index Indicator value);
by index descending indicator ;
run;
/*Retain the FinalValue*/
data want;
set test;
retain FinalValue;
keep Index Indicator value FinalValue;
if indicator =1 then do;FinalValue=value;end;
/*The If statement below will assign . to records that doesn't have an indicator value of 1*/
if indicator ne 1 and FIRST.Index=1 then FinalValue=.;
by index;
run;
Output:
Index=1 Indicator=1 value=21 FinalValue=21
Index=1 Indicator=0 value=5 FinalValue=21
Index=2 Indicator=1 value=0 FinalValue=0
Index=3 Indicator=1 value=7 FinalValue=7
Index=3 Indicator=0 value=4 FinalValue=7
Index=3 Indicator=0 value=8 FinalValue=7
Index=3 Indicator=0 value=2 FinalValue=7
Index=4 Indicator=1 value=1 FinalValue=1
Index=4 Indicator=0 value=4 FinalValue=1
Use proc sql by left join. Select value which indicator=1 and group by index, then left join with original dataset. It seemed that your first row of index=3 should be 7, not 0.
proc sql;
select a.*,b.finalvalue from test a
left join (select *,value as finalvalue from test group by index having indicator=1) b
on a.index=b.index;
quit;
This is rather old school but should be adequate. I reckon you call it a self merge or something.
data test;
input Index Indicator value;* FinalValue;
datalines;
1 0 5 21
1 1 21 21
2 1 0 0
3 0 4 7
3 1 7 7
3 0 8 7
3 0 2 7
4 1 1 1
4 0 4 1
;;;;
run;
data final;
if 0 then set test;
merge test(where=(indicator eq 1) rename=(value=FinalValue)) test;
by index;
run;
proc print;
run;
Final
Obs Index Indicator value Value
1 1 0 5 21
2 1 1 21 21
3 2 1 0 0
4 3 0 4 7
5 3 1 7 7
6 3 0 8 7
7 3 0 2 7
8 4 1 1 1
9 4 0 4 1
Related
Suppose i have random diagnostic codes, such as 001, v58, ..., 142,.. How can I construct columns from the codes which is 1 for the records?
Input:
id found code
1 1 001
2 0 v58
3 1 v58
4 1 003
5 0 v58
......
......
15000 0 v58
Output:
id code_001 code_v58 code_003 .......
1 1 0 0
2 0 0 0
3 0 1 0
4 1 0 0
5 0 0 0
.........
.........
You will want to TRANSPOSE the values and name the pivoted columns according to data (value of code) with an ID statement.
Example:
In real world data it is often the case that missing diagnoses will be flagged zero, and that has to be done in a subsequent step.
data have;
input id found code $;
datalines;
1 1 001
2 0 v58
2 1 003 /* second diagnosis result for patient 2 */
3 1 v58
4 1 003
5 0 v58
;
proc transpose data=have out=want(drop=_name_) prefix=code_;
by id;
id code; * column name becomes <prefix><code>;
var found;
run;
* missing occurs when an id was not diagnosed with a code;
* if that means the flag should be zero (for logistic modeling perhaps)
* the missings need to be changed to zeroes;
data want;
set want;
array codes code_:;
do _n_ = 1 to dim(codes); /* repurpose automatic variable _n_ for loop index */
if missing(codes(_n_)) then codes(_n_) = 0;
end;
run;
I have a big panel dataset that looks somewhat like this:
data have;
input id t a b ;
datalines;
1 1 0 0
1 2 0 0
1 3 1 0
1 4 0 0
1 5 0 1
1 6 1 0
1 7 0 0
1 8 0 0
1 9 0 0
1 10 0 1
2 1 0 0
2 2 1 0
2 3 0 0
2 4 0 0
2 5 0 1
2 6 0 1
2 7 0 1
2 8 0 1
2 9 1 0
2 10 0 1
3 1 0 0
3 2 0 0
3 3 0 0
3 4 0 0
3 5 0 0
3 6 0 0
3 7 1 0
3 8 0 0
3 9 0 0
3 10 0 0
;
run;
For every ID I want to record all 'trigger' events, namely when a=1 and then I need to how long it takes to the next occurrence of b=1. The final output should then give me the following:
data want;
input id a_no a_t b_t diff ;
datalines;
1 1 3 5 2
1 2 6 10 4
2 1 2 5 3
2 2 9 10 1
3 1 7 . .
;
run;
It is of course no problem to get all a=1 and b=1 events, but as it is a very big dataset with a lot of both events for every ID I am searching for an elegant and straight-forward solution. Any ideas?
Here's a fairly simple SQL approach that gives more or less the desired output:
proc sql;
create table want
as select
t1.id,
t1.t as a_t,
t2.t as b_t,
t2.t - t1.t as diff
from
have(where = (a=1)) t1
left join
have(where = (b=1)) t2
on
t1.id = t2.id
and t2.t > t1.t
group by t1.id, t1.t
having diff = min(diff)
;
quit;
The only part missing is a_no. This sort of row-incrementing ID is quite a lot of work to generate consistently in SQL, but it's trivial with an extra data step:
data want;
set want;
by id;
if first.id then a_no = 0;
a_no + 1;
run;
An elegant DATA step way can use nested DOW loops. It's straight forward when you understand DOW loops.
data want(keep=id--diff);
length id a_no a_t b_t diff 8;
do until (last.id); * process each group;
do a_no = 1 by 1 until(last.id); * counter for each output;
do until ( output_condition or end); * process each triggering state change;
SET have end=end; * read data;
by id; * setup first. last. variables for group;
if a=1 then a_t = t; * detect and record start of trigger state;
output_condition = (b=1 and t > a_t > 0); * evaluate for proper end of trigger state;
end;
if output_condition then do;
b_t = t; * compute remaining info at output point;
diff = b_t - a_t;
OUTPUT;
a_t = .; * reset trigger state tracking variables;
b_t = .;
end;
else
OUTPUT; * end of data reached without triggered output;
end;
end;
run;
Note: A SQL way (not shown) can use self join within groups.
data test;
input ID month d_month;
datalines;
1 59 0
1 70 11
1 80 21
2 10 0
2 11 1
2 13 3
3 5 0
3 9 4
4 8 0
;
run;
I have two columns of data ID and Month. Column 1 is the ID, the same ID may have multiple rows (1-5). The second column is the enrolled month. I want to create the third column. It calculates the different between the current month and the initial month for each ID.
you can do it like that.
data test;
input ID month d_month;
datalines;
1 59 0
1 70 11
1 80 21
2 10 0
2 11 1
2 13 3
3 5 0
3 9 4
4 8 0
;
run;
data calc;
set test;
by id;
retain current_month;
if first.id then do;
current_month=month;
calc_month=0;
end;
if ^first.id then do;
calc_month = month - current_month ;
end;
run;
Krs
Hi I am trying to subset a dataset which has following
ID sal count
1 10 1
1 10 2
1 10 3
1 10 4
2 20 1
2 20 2
2 20 3
3 30 1
3 30 2
3 30 3
3 30 4
I want to take out only those IDs who are recorded 4 times.
I wrote like
data AN; set BU
if last.count gt 4 and last.count lt 4 then delete;
run;
But there is something wrong.
EDIT - Thanks for clarifying. Based on your needs, PROC SQL will be more direct:
proc sql;
CREATE TABLE AN as
SELECT * FROM BU
GROUP BY ID
HAVING MAX(COUNT) = 4
;quit;
For posterity, here is how you could do it with only a data step:
In order to use first. and last., you need to use a by clause, which requires sorting:
proc sort data=BU;
by ID DESCENDING count;
run;
When using a SET statement BY ID, first.ID will be equal to 1 (TRUE) on the first instance of a given ID, 0 (FALSE) for all other records.
data AN;
set BU;
by ID;
retain keepMe;
If first.ID THEN DO;
IF count = 4 THEN keepMe=1;
ELSE keepMe=0;
END;
if keepMe=0 THEN DELETE;
run;
During the datastep BY ID, your data will look like:
ID sal count keepMe first.ID
1 10 4 1 1
1 10 3 1 0
1 10 2 1 0
1 10 1 1 0
2 20 3 0 1
2 20 2 0 0
2 20 1 0 0
3 30 4 1 1
3 30 3 1 0
3 30 2 1 0
3 30 1 1 0
If I understand correct, you are trying to extract all observations are are repeated 4 time or more. if so, your use of last.count and first.count is wrong. last.var is a boolean and it will indicate which observation is last in the group. Have a look at Tim's suggestion.
In order to extract all observations that are repeated four times or more, I would suggest to use the following PROC SQL:
PROC SQL;
CREATE TABLE WORK.WANT AS
SELECT /* COUNT_of_ID */
(COUNT(t1.ID)) AS COUNT_of_ID,
t1.ID,
t1.SAL,
t1.count
FROM WORK.HAVE t1
GROUP BY t1.ID
HAVING (CALCULATED COUNT_of_ID) ge 4
ORDER BY t1.ID,
t1.SAL,
t1.count;
QUIT;
Result:
1 10 1
1 10 2
1 10 3
1 10 4
3 30 1
3 30 2
3 30 3
3 30 4
Slight variation on Tims - assuming you don't necessarily have the count variable.
proc sql;
CREATE TABLE AN as
SELECT * FROM BU
GROUP BY ID
HAVING Count(ID) >= 4;
quit;
I have a sample SAS code below. And I want to know how to proc report the percentage using two decimal formats. For example, I want to put 100% as just zero decimal, and all the other percentages which is not 100% with 1 decimal such like 25.0%.
Here is my code.
data a;
infile datalines missover;
input subjid trt itt safety pp complete enroll disreason;
uncomplete=(complete^=1);
datalines;
1 1 1 1 1 1 1
2 2 0 1 1 1 1
3 1 1 1 1 0 1 4
4 2 1 1 1 1 1
5 1 1 1 0 0 1 5
6 2 1 1 1 1 1
7 2 1 1 1 0 1 1
8 1 0 1 0 1 1
9 1 1 1 1 0 1 5
10 2 0 1 0 0 1 5
11 2 1 1 1 0 1 1
12 2 1 1 0 0 1 2
13 1 1 1 0 0 1 3
14 2 1 1 0 0 1 4
;
run;
data b;
set a(in=a) a(in=b);
if b then trt=3;
run;
data c;
length cat $20;
set b;
array a(6) itt safety pp complete uncomplete enroll;
array b(5) r1 r2 r3 r4 r5;
do i=1 to 6;
cat=upcase(vname(a(i)));
value=a(i);
output;
end;
do j=1 to 5;
if disreason=j then value=1;
else value=0;
cat=upcase(vname(b(j)));
output;
end;
keep trt cat value;
run;
proc format ;
value $newcat(notsorted)
'ENROLL'='Enrolled Population'
'1'='1'
'PP'='Per-Protocol Population'
'2'='2'
'ITT'='ITT Population'
'3'='3'
'SAFETY'='Safety Population'
'4'='4'
'COMPLETE'='Patients Completed'
'UNCOMPLETE'='Patients Discontinued'
'5'='Primary Reason for Discontinuation of Study Dose'
'R1'='\li360 Lack of Effect'
'R2'='\li360 Protocol Violation'
'R3'='\li360 Lost to Follow-up'
'R4'='\li360 Adverse Event'
'R5'='\li360 Personal Reason';
value trt 1='Treatment 1'
2='Treatment 2'
3='Overall';
picture pct(round)
0<-100='0009)'(prefix='(' mult=100)
0=0;
run;
option missing='' nodate nonumber orientation=landscape;
ods rtf file='c:\dispoistion.rtf';
proc report data=c completerows nowd
style(report)={frame=hsides rules=groups}
style(header)={background=white};
column cat cat2 trt, value, (sum mean);
define cat/group format=$newcat. preloadfmt order=data noprint;
define cat2/computed ' ' style(column)={cellwidth=30% PROTECTSPECIALCHARS=OFF
};
define trt/across format=trt. '' order=internal;
define value/analysis '';
define sum/ 'N' style(column)={cellwidth=35pt} style(header)={just=right};
define mean/ '(%)' format=pct. style(column)={cellwidth=35pt just=left}
style(header)={just=left};
compute cat2/char length=50;
cat2=put(cat, $newcat.);
if cat2 in ('1', '2', '3','4') then cat2='';
endcomp;
run;
ods rtf close;
You need to use a picture format:
data test;
input x;
datalines;
0.5
0.751
0.999
1.00
;;;;
run;
proc format;
picture pct100f
-1 = [PERCENT7.0]
-1<-<1 = [PERCENT7.1]
1 = [PERCENT7.0]
other=[BEST12.];
quit;
proc print data=test;
format x pct100f.;
var x;
run;
Adjust that as needed. The -1 <-< 1 means anything that is between -1 and 1, exclusive. The [PERCENT7.0] is telling it to use that format for that section.
Try using this format:
define mean/ '(%)' format=percent7.1