need help on one query , I have to iterate date in do loop that is in format of yymmd6.(202112) so that once the month reach to 12 then its automatically change to next year first month.
///// code////////
%let startmo=202010 ;
%let endmo= 202102;
%macro test;
%do month= &startmo %to &endmo;
Data ABC_&month;
Set test&month;
X=&month ;
%end;
Run;
%mend;
%test;
//////////
Output should be 5 dataset as
ABC_202010
ABC_202011
ABC_202012
ABC_202101
ABC_20210
I need macro variable month to be resolved 202101 once it reached to 202012
Those are not actual DATE values. Just strings that you have imposed your own interpretation on so that they LOOK like dates to you.
Use date values instead and then it is easy to generate strings in the style you need by using a FORMAt.
%macro test(startmo,endmo);
%local offset month month_string;
%do offset = 0 to %sysfunc(intck(month,&startmo,&endmo));
%let month=%sysfunc(intnx(month,&startmo,&offset));
%let month_string=%sysfunc(putn(&month,yymmn6.));
data ABC_&month_string;
set test&month_string;
X=&month ;
format X monyy7.;
run;
%end;
%mend;
%test(startmo='01OCT2020'd , endmo='01FEB2021'd)
And if you need to convert one of those strings into a date value use an INFORMAT.
%let date=%sysfunc(inputn(202010,yymmn6.));
I would prefer to use a do while loop.
check whether the last 2 characters are 12, if so, change the month part to 01.
code
%let startmo=202010 ;
%let endmo= 202102;
%macro test;
%do %while(&startmo <= &endmo);
Data ABC_&startmo;
Set test&startmo;
X=&startmo ;
Run;
%end;
%let mon = %substr(&startmo, 5, 2);
%let yr = %substr(&startmo, 1, 4);
%if &mon = 12 %then %do;
%let m = 01;
%let startmo = %sysfunc(cat(%eval(&yr + 1), &m));
%end;
%else %do;
%let startmo = %eval(&startmo + 1);
%end;
%mend;
%test;
hello am trying access columns from library with specific date format and using year function on the columns in my macro code but it produces duplicate values... but the year function displays duplicate values and does not provide desired results. my code should return only the year from the input dates.
%macro dteyear(lib=,outdsn=);
proc sql noprint;
select distinct catx(".",libname,memname), name
into :dsns separated by " ", :varname separated by " "
from dictionary.columns
where libname = upcase("&lib") and format=('YYMMDD10.')
order by 1;
quit;
%put &dsns;
%put &varname;
%local olddsn curdsn curvbl i;
data &outdsn.;
set
%let olddsn=;
%do i=1 %to &sqlobs;
%let curdsn=%scan(&dsns,&i,%str( ));
%let curvbl=%scan(&varname,&i,%str( ));
%if &curdsn NE &olddsn
%then %do;
%if &olddsn NE
%then %do;
)
%end;
%let olddsn=&curdsn.;
&curdsn (keep=&curvbl
%end;
%else %do;
&curvbl
%end;
%end;
);
%do i=1 %to &sqlobs;
%scan(&varname,&i,%str( ))=year(&varname.);
%end;
run;
proc print data=&outdsn;run;
%MEND;
%dteyear(lib=dte3,outdsn=dtetst);
the input data is as follows
1975-12-04
1977-11-03
1989-09-15
1998-06-17
1999-05-31
2000-08-14
2001-03-11
2007-03-11
2007-12-28
2008-10-07
2009-12-03
duplicate output from my code is-->
Obs RFDTC
1 1965-05-19
2 1965-05-19
3 1965-05-19
4 1965-05-19
5 1965-05-19
6 1965-05-19
7 1965-05-19
8 1965-05-19
9 1965-05-19
10 1965-05-19
11 1965-05-19
12 1965-05-19
13 1965-05-19
The basic problem is that the YEAR() function returns a 4-digit number, and the variable's format is YYMMDD10., so the result is formatted as a SAS date very close to 1960 (SAS's beginning of all time).
What I did in the code below was change the format to 4.0, so it displays as a 4-digit number.
If you want to have access to the original date variable, you'll have to create a new variable for the year. I'll leave that to you.
There was an additional problem--that is, YEAR(&varname.) inserts the entire list of variables, not just the one you're working with. It works if there is only one date variable, but not if there are more than one. I fixed this, too.
%macro dteyear(lib=,outdsn=);
proc sql noprint;
select distinct catx(".",libname,memname), name
into :dsns separated by " ", :varname separated by " "
from dictionary.columns
where libname = upcase("&lib") and format=('YYMMDD10.')
order by 1;
quit;
%put &dsns;
%put &varname;
%local olddsn curdsn curvbl i;
data &outdsn.;
set
%let olddsn=;
%do i=1 %to &sqlobs;
%let curdsn=%scan(&dsns,&i,%str( ));
%let curvbl=%scan(&varname,&i,%str( ));
%if &curdsn NE &olddsn
%then %do;
%if &olddsn NE
%then %do;
)
%end;
%let olddsn=&curdsn.;
&curdsn (keep=&curvbl
%end;
%else %do;
&curvbl
%end;
%end;
);
%do i=1 %to &sqlobs;
%let curvbl=%scan(&varname,&i,%str( ));
&curvbl=year(&curvbl.);
format &curvbl 4.0;
%end;
run;
proc print data=&outdsn;run;
%MEND;
data have;
input datevar yymmdd10.;
format datevar yymmdd10.;
cards;
1975-12-04
1977-11-03
1989-09-15
1998-06-17
1999-05-31
2000-08-14
2001-03-11
2007-03-11
2007-12-28
2008-10-07
2009-12-03
run;
options mprint;
%dteyear(lib=work,outdsn=want)
The result, then, is:
Obs datevar
1 1975
2 1977
3 1989
4 1998
5 1999
6 2000
7 2001
8 2007
9 2007
10 2008
11 2009
To convert a date value to just a year you can use the YEAR() function, but you also need to change the format attached to the variable since you will have essentially divided the value stored in it by 365 to convert it from the number of days to the number of years.
rfdtc = year(rfdtc);
format rfdtc 4. ;
Your macro is attempting to read many variables from many datasets and generate a single output dataset. I am not sure the resulting dataset will be of much value to you since it will look like a checker board of missing values. Also if the same variable name appears in more than one input dataset you will get corrupted values because of applying the YEAR() function to value that has already been converted from a date value to a year value.
For example you could end up generating a data step like this:
data WANT ;
set ds1 (keep=datevar1)
ds1 (keep=datevar2)
ds2 (keep=datevar3)
ds3 (keep=datevar3)
;
datevar1=year(datevar1);
datevar2=year(datevar2);
datevar3=year(datevar3);
datevar3=year(datevar3);
format datevar1 datevar2 datevar3 datevar3 4.;
run;
Since both input datasets DS2 and DS3 have a variable named DATEVAR3 you will be applying the YEAR() function to the value twice. That will convert everything to the year 1965.
To eliminate the problem with running the YEAR() function on the same value multiple times and losing the actual year perhaps you just want to apply the YEAR. format instead of converting the stored value.
format datevar1 datevar2 datevar3 datevar4 year. ;
That would still leave the underlying different date values. If you really need to values to be identical perhaps you could convert the value to the first day of the year? You could use INTNX() function
datevar1 = intnx('year',datevar1,0,'b');
or the MDY() function
datevar1 = mdy(1,1,year(datevar1));
I am trying to summarize my variables using proc sql and proc freq procedures in a macro.
Here is the code:
%macro des_freq(input= ,vars= );
%let n=%sysfunc(countw(&vars));
%let binary=NO;
%do i = 1 %to &n;
%let values = %scan(&vars, &i);
%if %datatyp(&values)=NUMERIC %then %do;
proc summary data = &input;
output out=x min(&values)=minx max(&values)=maxx;
run;
data _null_;
set x;
if minx = 0 and maxx = 1 then call symputx('binary','YES');
run;
%if &binary = YES %then %do;
proc sql;
select segment_final,
(sum(case when &values = 1 then 1 else 0 end)/ count(*)) * 100 as &values._percent
from &input
group by segment_final;
quit;
%end;
%else %do;
proc freq data =&input;
tables segment_final*&values/nofreq nopercent nocol;
run;
%end;
%end;
%else %do;
proc freq data =&input;
tables segment_final*&values/nofreq nopercent nocol;
run;
%end;
%end;
%mend;
My variables can be numeric or character. If it's numeric, it can 2 more distinct values.
I want % of 1's in a binary variable by segments(hence proc sql) and % of all distinct variables for each segment(hence proc freq).
My first if statement is checking whether the variable if numeric or not and then if its numeric, next few steps is checking if its binary or not. If its binary then execute the proc sql else execute proc freq.
If the variable is character then just execute the proc freq.
I am not able to figure out how to check if my variable is numeric or not. I tried %SYSFUNC(Vartype), %isnum and %DATATYP. None of them seem to work. Please help!!
First you can look into sashelp.vcolumn table to check variables types:
data want(keep=libname memname name type);
set sashelp.vcolumn( where= (libname='SASHELP' and memname='CLASS'));
run;
If you don't want to use vcolumn table, you can use vtype() data step function as #Tom suggest:
data _NULL_;
set &input (obs=1);
call symput('binary',ifc(vtype(&values)='N','YES','NO' ));
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 ... ;