I tried searching but couldn't exactly find what I was looking for. I have a dataset with multiple rows per ID. I'd like to add a variable called maxdec and show a 1 for each row that has the max dec for each ID.
Sample Dataset:
ID DEC
123 1
123 2
123 2
123 2
456 2
456 3
456 3
Desired Output:
ID DEC MAXDEC
123 1 .
123 2 1
123 2 1
123 2 1
456 2 .
456 2 .
456 3 1
It is easier to define it with 1 or 0 instead of 1 or missing.
proc sql;
create table want as
select id,dec, dec=max(dec) as maxdec
from have
group by id
;
quit;
proc sort data=have;
by id;
proc summary data=have;
class id;
var dec;
output out=max_info max=max_value;
run;
data want;
merge have
max_info (keep=id max_value)
;
by id;
if dec=max_value then maxdec=1;
run;
The proc summary calculates the maximum value of DEC for each ID, and outputs as variable MAX_VALUE in dataset MAX_INFO. The subsequent data step assigns MAXDEC=1 if the current value of DEC is equal to MAX_VALUE for that ID.
Here is a DoW loop approach
data have;
input ID DEC;
datalines;
123 1
123 2
123 2
123 2
456 2
456 3
456 3
;
data want(drop = m);
do _N_ = 1 by 1 until (last.id);
set have;
by id;
m = max(maxdex, dec);
end;
do _N_ = 1 to _N_;
set have;
maxdex = ifn(dec = m, 1, .);
output;
end;
run;
Related
I have a dataset in SAS and I want to Convert one column into string by the Product. I have attached the image of input and output required.
I need the Colomn STRING in the outut. can anyone please help me ?
I have coded a data step to create the input data:
data have;
input products $
dates
value
;
datalines;
a 1 0
a 2 0
a 3 1
a 4 0
a 5 1
a 6 1
b 1 0
b 2 1
b 3 1
b 4 1
b 5 0
b 6 0
c 1 1
c 2 0
c 3 1
c 4 1
c 5 0
c 6 1
;
Does the following suggested solution give you what you want?:
data want;
length string $ 20;
do until(last.products);
set have;
by products;
string = catx(',',string,value);
end;
do until(last.products);
set have;
by products;
output;
end;
run;
Here's my quick solution.
data temp;
length cat $20.;
do until (last.prod);
set have;
by prod notsorted;
cat=catx(',',cat,value);
end;
drop value date;
run;
proc sql;
create table want as
select have.*, cat as string
from have inner join temp
on have.prod=temp.prod;
quit;
I want to do some sum calculate for a data set. The challenge is I need to do both row sum AND column Sum by ID. Below is the example.
data have;
input ID var1 var2;
datalines;
1 1 1
1 3 2
1 2 3
2 0 5
2 1 3
3 0 1
;
run;
data want;
input ID var1 var2 sum;
datalines;
1 1 1 12
1 3 2 12
1 2 3 12
2 0 5 9
2 1 3 9
3 0 1 1
;
run;
Using SQL is cool, but SAS has nice data step!
proc sort data=have; by id; run;
data result;
set have;
by id;
retain sum 0;
if first.id then sum=0;
sum=sum+sum(var1,var2);
if last.id then output;
run;
proc sort data=result; by id; run;
data want;
merge have result;
by id;
run;
You will decide what to use...
Use SQL to do all of it in one step. Group only by ID, but keep var1 and var2 in the column selection. This will create the same data in want.
proc sql noprint;
create table want as
select ID
, var1
, var2
, sum(var1) + sum(var2) as sum
from have
group by ID
;
quit;
I am trying to count number of times all the values appear in the entire dataset. So I want a table/output with values - # of times it appears in the dataset. I have used proc sql, proc freq without any luck.
data Data1;
input xx yy zz;
datalines;
123 456 234
456 123 345
234 345 123
;
run;
Want a table output with 123 - 3, 234 - 2, etc.
The easiest option (I think) is to create a dataset that puts all the values in a single column, then you can just run a proc freq off that.
data have;
input xx yy zz;
datalines;
123 456 456
456 123 234
234 234 123
;
run;
data single_column;
set have;
array vars{*} xx yy zz;
do i = 1 to dim(vars);
all_vals = vars{i};
output;
end;
keep all_vals;
run;
proc freq data=single_column;
table all_vals / out=want;
run;
I have dataset M
number id_no date
1 123 3/3/2012
2 123 3/3/2012
3 . .
4 . .
How do I copy 123 and 3/3/2012 into the obs 4 & 5.
This should get you there.
data one;
input
number id_no date mmddyy10.;
format date mmddyy10.;
datalines;
1 123 3/3/2012
2 123 3/3/2012
3 . .
4 . .
5 456 .
;
run;
proc sort data = one;
by number;
run;
data two;
set one;
retain _id_no _date;
if missing(_id_no) then _id_no = id_no;
if missing(id_no) then id_no = _id_no;
if missing(_date) then _date = date;
if missing(date) then date = _date;
drop _id_no _date;
run;
I have panel data set that looks like this
ID Usage month
1234 2 -2
1234 4 -1
1234 3 1
1234 2 2
2345 5 -2
2345 6 -1
2345 3 1
2345 6 2
Obviously there are more ID variables and usage data, but this is the general form. I want to average the usage data when the month column is negative, and when it is positive for each ID. In other words for each unique ID, average the usage for negative months and for positive months. My goal is to get something like this.
ID avg_usage_neg avg_usage_pos
1234 3 2.5
2345 5.5 4.5
Here's a few options for you.
First create the test data:
data sample;
input ID
Usage
month;
datalines;
1234 2 -2
1234 4 -1
1234 3 1
1234 2 2
2345 5 -2
2345 6 -1
2345 3 1
2345 6 2
;
run;
Here's an SQL solution:
proc sql noprint;
create table result as
select id,
avg(ifn(month < 0, usage, .)) as avg_usage_neg,
avg(ifn(month > 0, usage, .)) as avg_usage_pos
from sample
group by 1
;
quit;
Here's a datastep / proc means solution:
data sample2;
set sample;
usage_neg = ifn(month < 0, usage, .);
usage_pos = ifn(month > 0, usage, .);
run;
proc means data=sample2 noprint missing nway;
class id;
var usage_neg usage_pos;
output out=result2 mean=;
run;