My intent is to build a dataset in a two step process based on 'frame' dataset using call execute. I need 'a_dataset'. It doesn't exist.
I read the row of 'frame' dataset:
in the first row since 'a_dataset' doesn't exist i do macro nexds.
Second row of 'frame' , i check if 'a_dataset' exist, i found it and i do macro exds.
Unfortunately my code is not working. For each row in 'frame' the condition of existence is always false and it runs two times the nexds macro.
DATA WORK.frame;
INFILE DATALINES4
/*DLM='7F'x*/
DLM=' '
MISSOVER
DSD ;
INPUT
from : $CHAR25.
tojoin : $CHAR7. ;
DATALINES4;
dataset join1
dataset join2
;;;;
proc delete data=a_dataset;run;
%macro exds(dsn,varname);
data &dsn.;
set &dsn.;
&varname. = 'exist';
run;
%mend;
%macro nexds(dsn,varname);
data &dsn.;
&varname. = 'notexist';
run;
%mend;
data _null_;
set frame;
name = strip(tojoin);
dsname = cat('a_',strip(from));
if ~exist(dsname) then put 'notexist';
else put 'exist';
if ~exist(dsname) then call execute('%nexds('||dsname||','||name||')');
else call execute('%exds('||dsname||','||name||')');
run;
It runs this two lines of code:
1 + data a_dataset; join1 = 'notexist'; run;
2 + data a_dataset; join2 = 'notexist'; run;
instead i want:
1 + data a_dataset; join1 = 'notexist'; run;
2 + data a_dataset; set a_dataset; join2 = 'exist'; run;
in the log at the put call :
notexist
notexist
it seems like the if condition is checked at the beginning for each row of 'frame' and not after each it read a single row of 'frame'.
You are not understanding how CALL EXECUTE() works. The code you generate is stored up to run after the current step finishes.
Since both observations in FRAME have the same value of FROM the test for whether or not the dataset exists will have the same value both times since any code generated by the first observation has not had a chance to run yet.
Move the test and branching logic into the macro instead.
DATA frame;
INPUT from :$25. tojoin :$7. ;
DATALINES4;
dataset join1
dataset join2
;;;;
%macro make(dsn,varname);
data &dsn ;
%if %sysfunc(exist(&dsn)) %then %do;
set &dsn;
&varname = 'exist';
%end;
%else %do;
&varname = 'notexist';
%end;
run;
%mend make;
proc delete data=a_dataset;run;
options mprint;
data _null_;
set frame;
call execute(cats('%nrstr(%make)(', 'a_', from, ',' , tojoin, ')' ));
run;
I have a SAS dataset where I keep 50 diagnoses codes and 50 diagnoses descriptions.
It looks something like this:
data diags;
set diag_list;
keep claim_id diagcode1-diagcode50 diagdesc1-diagdesc50;
run;
I need to print all of the variables but I need diagnosis description right next to corresponding diagnosis code. Something like this:
proc print data=diags;
var claim_id diagcode1 diagdesc1 diagcode2 diagdesc2 diagcode3 diagdesc3; *(and so on all the way to 50);
run;
Is there a way to do this (possibly using arrays) without having to type it all up?
Here's one approach then, using Macros. If you have other variables make sure to include them BEFORE the %loop_names(n=50) portion in the VAR statement.
*generate fake data to test/run solution;
data demo;
array diag(50);
array diagdesc(50);
do claim_id=1 to 100;
do i=1 to 50;
diag(i)=rand('normal');
diagdesc(i)=rand('uniform');
end;
output;
end;
run;
%macro loop_names(n=);
%do i=1 %to &n;
diag&i diagdesc&i.
%end;
%mend;
proc print data=demo;
var claim_ID %loop_names(n=20);
run;
Here is some example SAS code that uses actual ICD 10 CM codes and their descriptions and #Reeza proc print:
%* Copy government provided Medicare code data zip file to local computer;
filename cms_cm url 'https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-ICD-10-CM-Codes.zip' recfm=s;
filename zip_cm "%sysfunc(pathname(work))/2020-ICD-10-CM-Codes.zip" lrecl=200000000 recfm=n ;
%let rc = %sysfunc(fcopy(cms_cm, zip_cm));
%put %sysfunc(sysmsg());
%* Define fileref to the zip file member that contains ICD 10 CM codes and descriptions;
filename cm_codes zip "%sysfunc(pathname(zip_cm))" member="2020 Code Descriptions/icd10cm_codes_2020.txt";
%* input the codes and descriptions, there are 72,184 of them;
%* I cheated and looked at the data (more than once) in order
%* to determine the variable sizes needed;
data icd10cm_2020;
infile cm_codes lrecl=250 truncover;
attrib
code length=$7
desc length=$230
;
input
code 1-7 desc 9-230;
;
run;
* simulate claims sample data with mostly upto 8 diagnoses, and
* at least one claim with 50 diagnoses;
data have;
call streaminit(123);
do claim_id = 1 to 10;
array codes(50) $7 code1-code50;
array descs(50) $230 desc1-desc50;
call missing(of code:, of desc:);
if mod(claim_id, 10) = 0
then top = 50;
else top = rand('uniform', 8);
do _n_ = 1 to top;
p = ceil(rand('uniform', n)); %* pick a random diagnosis code, 1 of 72,184;
set icd10cm_2020 nobs=n point=p; %* read the data for that random code;
codes(_n_) = code;
descs(_n_) = desc;
end;
output;
end;
stop;
drop top;
run;
%macro loop_names(n=);
%do i=1 %to &n;
code&i desc&i.
%end;
%mend;
ods _all_ close;
ods html;
proc print data=have;
var claim_id %loop_names(n=50);
run;
I have a data set with one row for each country and 100 columns (10 variables with 10 data years each).
For each variable I am trying to make a new data set with the three most recent data years for that variable for each country (which might not be successive).
This is what I have so far, but I know its wrong because of the nest loop, and its has same value for recent1 recent2 recent3 however I haven't figured out how to create recent1 recent2 recent3 without two loops.
%macro test();
data Maternal_care_recent;
set wb;
keep country MATERNAL_CARE_2004 -- MATERNAL_CARE_2013 recent_1 recent_2 recent_3;
%let rc = 1;
%do i = 2013 %to 2004 %by -1;
%do rc = 1 %to 3 %by 1;
%if MATERNAL_CARE_&i. ne . %then %do;
recent_&rc. = MATERNAL_CARE_&i.;
%end;
%end;
%end; run; %mend; %test();
You don't need to use a macro to do this - just some arrays:
data Maternal_care_recent;
set wb;
keep country MATERNAL_CARE_2004-MATERNAL_CARE_2013 recent_1 recent_2 recent_3;
array mc {*} MATERNAL_CARE_2004-MATERNAL_CARE_2013;
array recent {*} recent1-recent3;
do i = 2013 to 2004 by -1;
do rc = 1 to 3 by 1;
if mc[i] ne . then do;
recent[rc] = mc[i];
end;
end;
run;
Maybe I don't get your request, but according to your description:
"For each variable I am trying to make a new data set with the three most recent data years for that variable for each country (which might not be successive)" I created this sample dataset with dt1 and dt2 and 2 locations.
The output will be 2 datasets (and generally the number of the variables starting with DT) named DS1 and DS2 with 3 observations for each country, the first one for the first variable, the second one for the second variable.
This is the sample dataset:
data sample_ds;
length city $10 dt1 dt2 8.;
infile datalines dlm=',';
input city $ dt1 dt2;
datalines;
MS,5,0
MS,3,9
MS,3,9
MS,2,0
MS,1,8
MS,1,7
CA,6,1
CA,6,.
CA,6,.
CA,2,8
CA,1,5
CA,0,4
;
This is the sample macro:
%macro help(ds=);
data vars(keep=dt:); set &ds; if _n_ not >0; run;
%let op = %sysfunc(open(vars));
%let nvrs = %sysfunc(attrn(&op,nvars));
%let cl = %sysfunc(close(&op));
%do idx=1 %to &nvrs.;
proc sort data=&ds(keep=city dt&idx.) out=ds&idx.(where=(dt&idx. ne .)) nodupkey; by city DESCENDING dt&idx.; run;
data ds&idx.; set ds&idx.;
retain cnt;
by city DESCENDING dt&idx.;
if first.city then cnt=0; else cnt=cnt+1;
run;
data ds&idx.(drop=cnt); set ds&idx.(where=(cnt<3)); rename dt&idx.=act&idx.; run;
%end;
%mend;
You will run this macro with:
%help(ds=sample_ds);
In the first statement of the macro I select the variables on which I want to iterate:
data vars(keep=dt:); set &ds; if _n_ not >0; run;
Work on this if you want to make this work for your code, or simply rename your variables as DT1 DT2...
Let me know if it is correct for you.
When writing macro code, always keep in mind what has to be done when. SAS processes your code stepwise.
Before your sas code is even compiled, your macro variables are resolved and your macro code is executed
Then the resulting SAS Base code is compiled
Finally the code is executed.
When you write %if MATERNAL_CARE_&i. ne . %then %do, this is macro code interpreded before compilation.
At that time MATERNAL_CARE_&i. is not a variable but a text string containing a macro variable.
The first time you run trhough your %do i = 2013 %to 2004 by -1, it is filled in as MATERNAL_CARE_2013, the second as MATERNAL_CARE_2012., etc.
Then the macro %if statement is interpreted, and as the text string MATERNAL_CARE_1 is not equal to a dot, it is evaluated to FALSE
and recent_&rc. = MATERNAL_CARE_&i. is not included in the code to pass to your compiler.
You can see that if you run your code with option mprint;
The resolution;
options mprint;
%macro test();
data Maternal_care_recent;
set wb;
keep country MATERNAL_CARE_: recent_:;
** The : acts as a wild card here **;
%do i = 2013 %to 2004 %by -1;
if MATERNAL_CARE_&i. ne . then do;
%do rc = 1 %to 3 %by 1;
recent_&rc. = MATERNAL_CARE_&i.;
%end;
end;
%end;
run;
%mend;
%test();
Now, before compilation of if MATERNAL_CARE_&i. ne . then do, only the &i. is evalueated and if MATERNAL_CARE_2013 ne . then do is passed to the compiler.
The compiler will see this as a test if the SAS variable MATERNAL_CARE_1 has value missing, and that is just what you wanted;
Remark:
It is not essential that I moved the if statement above the ``. It is just more efficient because the condition is then evaluated less often.
It is however essential that you close your %ifs and %dos with an %end and your ifs and dos with an end;
Remark:
you do not need %let rc = 1, because %do rc = 1 to 3 already initialises &rc.;
For completeness SAS is compiled stepwise:
The next PROC or data step and its macro code are only considered when the preveous one is executed.
That is why you can write macro variables from a data step or sql select into that will influence the code you compile in your next step,
somehting you can not do for instance with C++ pre compilation;
Thanks everyone. Found a hybrid solution from a few solutions posted.
data sample_ds;
infile datalines dlm=',';
input country $ maternal_2004 maternal_2005
maternal_2006 maternal_2007 maternal_2008 maternal_2009 maternal_2010 maternal_2011 maternal_2012 maternal_2013;
datalines;
MS,5,0,5,0,5,.,5,.,5,.
MW,3,9,5,0,5,0,5,.,5,0
WE,3,9,5,0,5,.,.,.,.,0
HU,2,0,5,.,5,.,5,0,5,0
MI,1,8,5,0,5,0,5,.,5,0
HJ,1,7,5,0,5,0,.,0,.,0
CJ,6,1,5,0,5,0,5,0,5,0
CN,6,1,.,5,0,5,0,5,0,5
CE,6,5,0,5,0,.,0,5,.,8
CT,2,5,0,5,0,5,0,5,0,9
CW,1,5,0,5,0,5,.,.,0,7
CH,0,5,0,5,0,.,0,.,0,5
;
%macro test(var);
data &var._recent;
set sample_ds;
keep country &var._1 &var._2 &var._3;
array mc {*} &var._2004-&var._2013;
array recent {*} &var._1-&var._25;
count=1;
do i = 10 to 1 by -1;
if mc[i] ne . then do;
recent[count] = mc[i];
count=count+1;
end;
end;
run;
%mend;
I have a table like this:
Lista_ID 1 4 7 10 ...
in total there are 100 numbers.
I want to call each one of these numbers to a macro i created. I was trying to use 'scan' but read that it's just for character variables.
the error when i runned the following code was
there's the code:
proc sql;
select ID INTO: LISTA_ID SEPARATED BY '*' from
WORK.AMOSTRA;
run;
PROC SQL;
SELECT COUNT(*) INTO: NR SEPARATED BY '*' FROM
WORK.AMOSTRA;
RUN;
%MACRO CICLO_teste();
%LET LIM_MSISDN = %EVAL(NR);
%LET I = %EVAL(1);
%DO %WHILE (&I<= &LIM_MSISDN);
%LET REF = %SCAN(LISTA_ID,&I,,'*');
DATA WORK.UP&REF;
SET WORK.BASE&REF;
FORMAT PERC_ACUM 9.3;
IF FIRST.ID_CLIENTE THEN PERC_ACUM=0;
PERC_ACUM+PERC;
RUN;
%LET I = %EVAL(&I+1);
%END;
%MEND;
%CICLO_TESTE;
the error was that:
VARIABLE PERC IS UNITIALIZED and
VARIABLE FIRST.ID_CLIENTE IS UNITIALIZED.
What I want is to run this macro for each one of the Id's in the List I showed before, and that are referenced in work.base&ref and work.up&ref.
How can I do it? What I'm doing wrong?
thanks!
Here's the CALL EXECUTE version.
%MACRO CICLO_teste(REF);
DATA WORK.UP&REF;
SET WORK.BASE&REF;
BY ID_CLIENTE;
FORMAT PERC_ACUM 9.3;
IF FIRST.ID_CLIENTE THEN PERC_ACUM=0;
PERC_ACUM+PERC;
RUN;
%CICLO_TESTE;
DATA _NULL_;
SET amostra;
*CREATE YOUR MACRO CALL;
STR = CATT('%CLIO_TESTE(', ID, ')');
CALL EXECUTE(STR);
RUN;
First you should note that SAS macro variable resolve is intrinsically a "text-based" copy-paste action. That is, all the user-defined macro variables are texts. Therefore, %eval is unnecessary in this case.
Other miscellaneous corrections include:
Check the %scan() function for correct usage. The first argument should be a text string WITHOUT QUOTES.
run is redundant in proc sql since each sql statement is run as soon as they are sent. Use quit; to exit proc sql.
A semicolon is not required for macro call (causes unexpected problems sometimes).
use %do %to for loops
The code below should work.
data work.amostra;
input id;
cards;
1
4
7
10
;
run;
proc sql noprint;
select id into :lista_id separated by ' ' from work.amostra;
select count(*) into :nr separated by ' ' from work.amostra;
quit;
* check;
%put lista_id=&lista_id nr=&nr;
%macro ciclo_teste();
%local ref;
%do i = 1 %to &nr;
%let ref = %scan(&lista_id, &i);
%*check;
%put ref = &ref;
/* your task below */
/* data work.up&ref;*/
/* set work.base&ref;*/
/* format perc_acum 9.3;*/
/* if first.id_cliente then perc_acum=0;*/
/* perc_acum + perc;*/
/* run; */
%end;
%mend;
%ciclo_teste()
tested on SAS 9.4 win7 x64
Edited:
In fact I would recommend doing this to avoid scanning a long string which is inefficient.
%macro tester();
/* get the number of obs (a more efficient way) */
%local NN;
proc sql noprint;
select nobs into :NN
from dictionary.tables
where upcase(libname) = 'WORK'
and upcase(memname) = 'AMOSTRA';
quit;
/* assign &ref by random access */
%do i = 1 %to &NN;
data _null_;
a = &i;
set work.amostra point=a;
call symputx('ref',id,'L');
stop;
run;
%*check;
%put ref = &ref;
/* your task below */
%end;
%mend;
%tester()
Please let me know if you have further questions.
Wow that seems like a lot of work. Why not just do the following:
data work.amostra;
input id;
cards;
1
4
7
10
;
run;
%macro test001;
proc sql noprint;
select count(*) into: cnt
from amostra;
quit;
%let cnt = &cnt;
proc sql noprint;
select id into: x1 - :x&cnt
from amostra;
quit;
%do i = 1 %to &cnt;
%let x&i = &&x&i;
%put &&x&i;
%end;
%mend test001;
%test001;
now in variables &x1 - &&x&cnt you have your values and you can process them however you like.
In general if your list is small enough (macro variables are limited to 64K characters) then you are better off passing the list in a single delimited macro variable instead of multiple macro variables.Remember that PROC SQL will automatically set the count into the macro variable SQLOBS so there is no need to run the query twice. Or you can use %sysfunc(countw()) to count the number of entries in your delimited list.
proc sql noprint ;
select id into :idlist separated by '|' from .... ;
%let nr=&sqlobs;
quit;
...
%do i=1 %to &nr ;
%let id=%scan(&idlist,&i,|);
data up&id ;
...
%end;
If you do generate multiple macro variables there is no need to set the upper bound in advance as SAS will only create the number of macro variables it needs based on the number of observations returned by the query.
select id into :idval1 - from ... ;
%let nr=&sqlobs;
If you are using an older version of SAS the you need set an upper bound on the macro variable range.
select id into :idval1 - :idval99999 from ... ;
I've got the following issue and I'm not sure on how to do this.
I'm trying to merge 6000 variables through the code below
Please find below the piece of code I've written for two of the variables
data big_aat_1;
merge Aat_1(rename=(var14=var14_t0 var28=var28_t_0))
Aat_2(rename=(var14=var14_t_1 var28=var28_t_1))
Aat_3(rename=(var14=var14_t_2 var28=var28_t_2))
Aat_4(rename=(var14=var14_t_3 var28=var28_t_3))
Aat_5(rename=(var14=var14_t_4 var28=var28_t_4))
Aat_6(rename=(var14=var14_t_5 var28=var28_t_5));
by nouv_date;
run;
My aim is to try to automate my piece of code for the 6000 variables I have and keep the way I'm doing it e.g. with the merge.
The result will all the variables would be like the one below. The ...represent the rest of the variables
data big_aat_1;
merge Aat_1(rename=(var14=var14_t0 var28=var28_t_0 var37=var37_t_0 ...))
Aat_2(rename=(var14=var14_t_1 var28=var28_t_1 var37=var37_t_1 ...))
Aat_3(rename=(var14=var14_t_2 var28=var28_t_2 var37=var37_t_2 ...))
Aat_4(rename=(var14=var14_t_3 var28=var28_t_3 var37=var37_t_3 ...))
Aat_5(rename=(var14=var14_t_4 var28=var28_t_4 var37=var37_t_4 ...))
Aat_6(rename=(var14=var14_t_5 var28=var28_t_5 var37=var37_t_5 ...));
by nouv_date;
run;
There are 2 things I need to state
1) I have a dataset / table that contains all the distinct variable names (e.g. var14, var28 ...). It would be great if I can use it. The name of the dataset is dicoAg
2) I need to keep the merge for some reasons I cannot talk about here.
If you have any insight
I started creating test data sets (you obviously already have them):
%MACRO P;
%DO I=1 %TO 6;
data aat_&I;
%DO J=1 %TO 6000;
var&J=&J;
%END;
nouv_date=1;output;
run;
%END;
%MEND;
%P;
and then I used proc contents to have a list of the variables (you can skip this step and use dicoAg):
proc contents data=aat_1 varnum out=vars;run;
and then you have sas write the rename code for you:
data _NULL_;
set vars /*dicoAg*/(where=(NAME^="nouv_date")) end=fine;
file "MyPath\Rename.sas";
if _N_=1 then do;
put '%MACRO RENAME(J=); ';
put '(rename=( ';
end;
/*intead of NAME use the variable in dicoAg which contains all the variables' names*/
put ' ' NAME '=' NAME +(-1) '_&J';
if fine then do;
put ' )) ';
put '%MEND; ';
end;
run;
you include the code:
%include "MyPath\Rename.sas";
and at the end you write the macro to do the merge:
%MACRO P;
data big_aat_1;
merge
%DO D=1 %TO 6;
aat_&D. %RENAME(J=&D)
%END;
;
by nouv_date;
run;
%MEND;
%P;
Everyone,
Without going into full details, my man-a and I did that
data big_aat_1;
merge %do j=1 %to 6 ; Aat_&j(rename=(%do i=1 %to &&&&nvar&&pays&l ; &&&&var&&pays&l.._&i=&&&&var&&pays&l.._&i.._t%eval(&j-1) %end ; )) %end ; ;
by nouv_date;
run;
Not perfect nor superbly efficient but doing the trick.
Explanation :
&&&&nvar&&pays&lis the max number of variables
&&&&var&&pays&l.._&iis the variable
The results will give you something like this
merge Aat_1(rename=( var1=var1_t0 var31=var31_t0 var60=var60_t0 var90=var90_t0 var119=var119_t0 ...
Aat_6(rename=( var1=var1_t5 var31=var31_t5 var60=var60_t5 var90=var90_t5 var119=var119_t5...
Best.