I have a dataset which has multiple obs per person. I want to have each single record showing the sum of a variable per person ID. However I do not want to group the data into single personal IDs. I hope the example below explains my question
I want to create the column in bold. How to do this? In SAS EG (or SAS if necessary)?
ID...Var1...SUM
X.....10.......30
X.....20.......30
Y.....20.......80
Y.....20.......80
Y.....40.......80
Z.....30.......30
You can do this using either proc sql or proc means
more info:proc means
proc sql
proc sql:
proc sql noprint;
create table new_table as
select distinct id, var1, sum(var_to_sum) as summed_var_name
from old_table
group by id
;
quit;
after rereading your question, using proc means you will need to merge var1 back in, better off using proc sql above.
proc means:
proc means data = old_table sum;
by id var1;
var var_to_sum;
output out = new_table sum;
run;
Related
I'm a beginner in SAS and i have difficulties with this exercice:
I have a very simple table with 2 columns and three lines
I try to find the request that will return me the name of the most little people (so it must return titi)
All what I found is to return the most little size (157) but i don't want this, I want the name related to the most little value!
Could you help me please?
Larapa
A SQL having clause is a good one for this. SAS will automatically summarize the data and merge it back to the original table, giving you one a one-line table with the name of the smallest value of taille.
proc sql noprint;
create table want as
select nom
from have
having taille = min(taille)
;
quit;
Here are some other ways you can do it:
Using PROC MEANS:
proc means data=have noprint;
id nom;
output out=want
min(taille) = min_taille;
run;
Using sort and a data step to keep only the first observation:
proc sort data=have;
by taille;
run;
data want;
set have;
if(_N_ = 1);
run;
Below sample data is from oracle database
promo flag
vijay a
vijay b
vijay c
sam b
sam g
sam c
I have one proc sql statement connected to oracle(though i have not mentioned oracle connection below)
proc sql;
create table a as select *from new;
quit;
then two proc sort statement based on above dataset a.
proc sort data = a;
by promo descending flag;
run;
proc sort data =a nodupkey out =new1;
by promo;
run;
Now I want do these two proc sort statements inside proc sql statement itself. Any idea how to do?
proc sql;
create table want as
select distinct promo,flag from new group by promo having flag=max(flag);
quit;
I have two codes one proc sql and another proc and datastep. Both are interlinked datasets.
Below is the proc sql lines.
create table new as select a.id,a.alid,b.pdate from tb a inner join
tb1 act on a.aid =act.aid left join tb2 as b on (r.alid=a.alid) where
a.did in (15,45); quit;
Below is the proc and datasteps created from above datatset new.
proc sort data = new uodupkey;
by alid;
data new1;
set new;
format ddate date9.
dat1=datepart(today);
datno=input(number,20.);
key=_n_;
rename alid blid;
run;
proc sort data=new1 nodupkey;
by datno dat1;
run;
I need to put everything into single proc sql step.
You mention two data steps but I only see one.
Anyway, your data step and proc sort can indeed be written in one sql query (which you can then insert in your proc sql):
proc sql;
create table new1 as
select id
,alid as blid
,pdate
,datepart(today) as dat1
,input(number,20.) as datno
,monotonic() as key
from new1
group by datno, dat1
having key=min(key)
;
quit;
One remark though. Your data step expects variables called ddate,today and number in your input dataset new. If that dataset is supposed to be the result of your first sql query, then those variables don't exist and their values along with those of dat1 and datno in new1 will always be missing.
Also I assume you misspelled nodupkey on your proc sort.
EDIT: or, to have it all in the same query (if that's what you meant with "the same proc sql"):
proc sql;
create table new1 as
select id
,alid as blid
,pdate
,datepart(today) as dat1
,input(number,20.) as datno
,monotonic() as key
from (
select a.id,a.alid,b.pdate
from tb a
inner join tb1 act
on a.aid =act.aid
left join tb2 as b
on (r.alid=a.alid)
where a.did in (15,45)
)
group by datno, dat1
having key=min(key)
;
quit;
I am a newbie to SAS Base, and I am struggling to create a simple program that extracts data from a table on my database, runs e.g. PROC MEANS, and writes the data back to the table.
I know how to use PROC SQL (read and update tables) and PROC MEANS, but I can't figure out how to combine the steps.
PROC SQL;
SELECT make,model,type,invoice,horsepower
FROM
SASHELP.CARS
;
QUIT;
PROC Means;
RUN;
What I want to accomplish is create an additional column in the dataset with e.g. the mean of the horsepower.. and in the end I want to write that computed column to the table on the database.
Edit
What I was looking for is this:
PROC SQL;
create table want as
select make,model,type,invoice,horsepower
, mean(horsepower) as mean_horsepower
from sashelp.cars
;
QUIT;
PROC MEANS DATA=want;
RUN;
SAS makes this very easy to do with SQL since it will automatically remerge summary statistics back to detailed records.
create table want as
select make,model,type,invoice,horsepower
, mean(horsepower) as mean_horsepower
from sashelp.cars
;
Or using normal SAS code.
proc means data=sashelp.cars nway noprint ;
var horsepower ;
output out=mean_horsepower mean=mean_horsepower ;
run;
data want ;
set sashelp.cars ;
if _n_=1 then set mean_horsepower (keep=mean_horsepower);
run;
It’s the first time that I’ve opened sas today and I’m looking at some code a colleague wrote.
So let’s say I have some data (import) where duplicates occur but I want only those which have a unique number named VTNR.
First she looks for unique numbers:
data M.import;
set M.import;
by VTNR;
if first.VTNR=1 then unique=1;
run;
Then she creates a table with the duplicated numbers:
data M.import_dup1;
set M.import;
where unique^=1;
run;
And finally a table with all duplicates.
But here she is really hardcoding the numbers, so for example:
data M.import_dup2;
set M.import;
where VTNR in (130001292951,130100975613,130107546425,130108026864,130131307133,130134696722,130136267001,130137413257,130137839451,130138291041);
run;
I’m sure there must be a better way.
Since I’m only familiar with R I would write something like:
import_dup2 <- subset(import, is.element(import$VTNR, import_dup1$VTNR))
I guess there must be something like the $ also for sas?
To me it looks like the most direct translation of the R code
import_dup2 <- subset(import, is.element(import$VTNR, import_dup1$VTNR))
Would be to use SQL code
proc sql;
create table import_dup2 as
select * from import
where VTNR in (select VTNR from import_dup1)
;
quit;
But if your intent is to find the observations in IMPORT that have more than one observation per VTNR value there is no need to first create some other table.
data import_dup2 ;
set import;
by VTNR ;
if not (first.VTNR and last.VTNR);
run;
I would use the options in PROC SORT.
Make sure to specify an OUT= dataset otherwise you'll overwrite your original data.
/*Generate fake data with dups*/
data class;
set sashelp.class sashelp.class(obs=5);
run;
/*Create unique and dup dataset*/
proc sort data=class nouniquekey uniqueout=uniquerecs out=dups;
by name;
run;
/*Display results - for demo*/
proc print data=uniquerecs;
title 'Unique Records';
run;
proc print data=dups;
title 'Duplicate Records';
run;
Above solution can give you duplicates but not unique values. There are many possible ways to do both in SAS. Very easy to understand would be a SQL solution.
proc sql;
create table no_duplicates as
select *
from import
group by VTNR
having count(*) = 1
;
create table all_duplicates as
select *
from import
group by VTNR
having count(*) > 1
;
quit;
I would use Reeza's or Tom's solution, but for completeness, the solution most similar to R (and your preexisting code) would be three steps. Again, I wouldn't use this here, it's excess work for something you can do more easily, but the concept is helpful in other situations.
First, get the dataset of duplicates - either her method, or proc sort.
proc sort nodupkey data=have out=nodups dupout=dups;
by byvar;
run;
Then pull those into a macro list:
proc sql;
select byvar
into :duplist separated by ','
from dups;
quit;
Then you have them in &duplist. and can use them like so:
data want;
set have;
if not (byvar in &duplist.);
run;
data want;
set import;
where VTNR in import_dup1;
run;