I have a dataset with one id column and three character variables:
data have;
input id var1 $ var2 $ var3 $;
datalines;
1 * 1.2 *
2 * 3.7 0.3
3 0.7 * 2
4 4.9 4.0 1.8
;
run;
For each of the character variable, I want to replace the '*' character with a string that is specific to the variable.
For example, in var1 '*' would be replace by '2', then in var2 '*' would be replaced by '4.5', etc...
And then I would like to turn these variables to numeric.
Is there a way of doing this using a "reference" table with the replacement values ?
For example with a table like this one:
data reference;
input var1 $ var2 $ var3 $;
datalines;
2 4.5 17
;
run;
Hello @ABohyn,
I think a reference table with numeric variables like this
data reference;
input r1-r3;
datalines;
2 4.5 17
;
would be more convenient:
data want(rename=(nvar1-nvar3=var1-var3));
set have;
if _n_=1 then set reference;
array var[3];
array nvar[3];
array r[3];
do i=1 to dim(var);
nvar[i]=coalesce(input(var[i], ?? 32.),r[i]);
end;
drop i r1-r3 var1-var3;
run;
This would perform the character-to-numeric conversion and replace all non-numeric values of var1-var3 with the corresponding replacement values.
Hello @ABohyn,
I think a reference table with numeric variables like this
data reference;
input r1-r3;
datalines;
2 4.5 17
;
would be more convenient:
data want(rename=(nvar1-nvar3=var1-var3));
set have;
if _n_=1 then set reference;
array var[3];
array nvar[3];
array r[3];
do i=1 to dim(var);
nvar[i]=coalesce(input(var[i], ?? 32.),r[i]);
end;
drop i r1-r3 var1-var3;
run;
This would perform the character-to-numeric conversion and replace all non-numeric values of var1-var3 with the corresponding replacement values.
Here one way that should work
data have;
input id var1 $ var2 $ var3 $;
datalines;
1 * 1.2 *
2 * 3.7 0.3
3 0.7 * 2
4 4.9 4.0 1.8
;
proc format;
invalue var1f
'*' = 2
other=[best32.]
;
invalue var2f
'*' = 4.5
other=[best32.]
;
invalue var3f
'*' = 17
other=[best32.]
;
run;
data want(drop=_:);
set have(rename=(var1=_var1 var2=_var2 var3=_var3));
var1=input(_var1,?? var1f.);
var2=input(_var2,?? var2f.);
var3=input(_var3,?? var3f.);
run;
proc print data=want;
run;
SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.