I am new to SAS and need to sgplot 112 variables. The variable names are all very different and may change over time. How can I call each variable in the statement without having to list all of them?
Here is what I have done so far:
%macro graph(var);
proc sgplot data=monthly;
series x=date y=var;
title 'var';
run;
%mend;
%graph(gdp);
%graph(lbr);
The above code can be a pain since I have to list 112 %graph() lines and then change the names in the future as the variable names change.
Thanks for the help in advance.
List processing is the concept you need to deal with something like this. You can also use BY group processing or in the case of graphing Paneling in some cases to approach this issue.
Create a dataset from a source convenient to you that contains the list of variables. This could be an excel or text file, or it could be created from your data if there's a way to programmatically tell which variables you need.
Then you can use any of a number of methods to produce this:
proc sql;
select cats('%graph(',var,')')
into: graphlist separated by ' '
from yourdata;
quit;
&graphlist
For example.
In your case, you could also generate a vertical dataset with one row per variable, which might be easier to determine which variables are correct:
data citiwk;
set sashelp.citiwk;
var='COM';
val=WSPCA;
output;
var='UTI';
val=WSPUA;
output;
var='INDU';
val=WSPIA;
output;
val=WSPGLT;
var='GOV';
output;
keep val var date;
run;
proc sort data=citiwk;
by var date;
run;
proc sgplot data=citiwk;
by var;
series x=date y=val;
run;
While I hardcoded those four, you could easily create an array and use VNAME() to get the variable name or VLABEL() to get the variable label of each array element.
Related
I am a newbie to SAS and I am trying to execute below code to obtain all the information for a particular library. However it fails in between due to data in a particular dataset. Is there any way to read dataset names from a different dataset and loop through them creating a different dataset specific to each datasetname from the list?
Proc contents data= testlib. _ALL_ out=x;
Run;
Instead I want something like this
Proc contents data in (work. Tbnames) out = x;
Run;
And read data from below data set.
Data tbnames(keep tablename) ;
Set WORK. tablenames;
Run;
Please help
St
Proc contents data = work.Tbnames out = x;
Run;
Use Proc COPY to copy data sets from one library to another.
libname testlib '<os-path-to-folder>';
proc copy in=testlib out=work memtype=DATA;
run;
Read the data from dictionary.table instead.
This assumes that you have the list of tables in a data set called tableNames and it has a variable called tName, which is the variable name. Note that it is a case sensitive comparison so UPCASE() is used make it all upper case.
proc sql;
create table summary as
select *
from dictionary.table
where memname in (select upcase(tName) from tableNames);
quit;
Or look at PROC DATASETS which operates on a library, not a single data set.
proc datasets lib=myLib;
run;quit;
I am working with multiple waves of survey data. I have finished defining formats and labels for the first wave of data.
The second wave of data will be different, but the codes, labels, formats, and variable names will all be the same. I do not want to define all these attributes again...it seems like there should be a way to export the PROC CONTENTS information for one dataset and import it into another dataset. Is there a way to do this?
The closest thing I've found is PROC CPORT but I am totally confused by it and cannot get it to run.
(Just to be clear I'll ask the question another way as well...)
When you run PROC CONTENTS, SAS tells you what format, labels, etc. it is using for each variable in the dataset.
I have a second dataset with the exact same variable names. I would like to use the variable attributes from the first dataset on the variables in the second dataset. Is there any way to do this?
Thanks!
So you have a MODEL dataset and a HAVE dataset, both with data in them. You want to create WANT dataset which has data from HAVE, with attributes of MODEL (formats, labels, and variable lengths). You can do this like:
data WANT ;
if 0 then set MODEL ;
set HAVE ;
run ;
This works because when the DATA step compiles, SAS builds the Program Data Vector (PDV) which defines variable attributes. Even though the SET MODEL never executes (because 0 is not true), all of the variables in MODEL are created in the PDV when the step compiles.
Importantly, note that if there are corresponding variables with different lengths, the length from MODEL will determine the length of the variable in WANT. So if HAVE has a variable that is longer than the same-named variable in MODEL, it may be truncated. Options VARLENCHK determines whether or not SAS throws a warning/error if this happens.
That assumes there are no formats/labels on the HAVE dataset. If there is a variable in HAVE that has a format/label, and the corresponding variable in MODEL does not have a format/label, the format/label from HAVE will be applied to WANT.
Sample code below.
data model;
set sashelp.class;
length FavoriteColor $3;
FavoriteColor="Red";
dob=today();
label
dob='BirthDate'
;
format
dob mmddyy10.
;
run;
data have;
set sashelp.class;
length FavoriteColor $10;
dob=today()-1;
FavoriteColor="Orange";
label
Name="HaveLabel"
dob="HaveLabel"
;
format
Name $1.
dob comma.
;
run;
options varlenchk=warn;
data want;
if 0 then set model;
set have;
run;
I'd create an empty dataset based on the existing one, and then use proc append to append the contents to it.
Create some sample data for the second round of data:
data new_data;
age = 10;
run;
Create an empty dataset based on the original data:
proc sql noprint;
create table want like sashelp.class;
quit;
Append the data into the empty dataset, retaining the details from the original:
proc append base=want data=new_data force nowarn;
run;
Note that I've used the force and nowarn options on proc append. This will ensure the data is appended even if differences are found between the two datasets being used. This is expected if you have, for example, format differences. It will also hide things like if columns exist in the new table that aren't in the old table etc. So be careful that this is doing what you want it to. If the behaviour is undesirable, consider using a datastep to append instead (and list the want dataset first).
Welcome to the stack.
If you want to copy the properties of the table without the data within it, you could use PROC SQL or data step with zero rows read in.
This examples copies all information about the SASHELP.CLASS dataset into a brand new dataset. All formats, attributes, labels, the whole thing is copies over. If you want to only copy some of the columns, specify them in select clause instead of asterix.
PROC SQL outobs=0;
CREATE TABLE WANT as SELECT * FROM SASHELP.CLASS;
QUIT;
Regards,
Vasilij
Lets suppose we have the following dataset:
ID Stress_Level Heart_Rate
1 5 10
2 7 12
3 9 16
And the code one would use to rename a variable would be:
data test1;
set test0;
rename Stress_Level=A Heart_Rate=B;
run;
However, what I would like to do is to rename the 2 columns without using their names. Is there an "internal" SAS command that addresses the variable depending on which column it is? So for instance Stress_Level which is the 2nd column could be addressed as "COL2 " or something similar. Thus the code would be:
data test1;
set test0;
rename COL2=A COL3=B;
run;
Where "COL2" would always refer to the second column in the dataset regardless of its name. Is there a direct or maybe an indirect way to achieve that?
I think the easiest way is to build up a rename statement string from the metadata table DICTIONARY.COLUMNS (the view of this is SASHELP.VCOLUMN). This holds the column names and position for all tables in active libraries.
I've taken advantage of the ASCII sequence (the byte function) to rename the columns A, B etc, obviously you'd run into problems if there are more than 26 columns to be renamed in the table!
You'll also need to tweak the varnum+63 calculation if you wanted to start from a different column than 2.
proc sql noprint;
select cats(name,"=",byte(varnum+63)) into :newvars separated by ' '
from dictionary.columns
where libname = 'WORK' and memname='HAVE' and varnum>=2;
quit;
data want;
set have;
rename &newvars.;
run;
/* or */
/*
proc datasets lib=work nolist nodetails;
modify have;
rename &newvars.;
quit;
*/
There are a couple of ways you can do this.
The shortest approach is probably to use an array. The only drawbacks are that you need to know the types of the variables in advance and the name of the first variable.
If they are all numeric as in your example the following could be used:
data test1;
set test0;
array vars[*] _numeric_;
A = vars[2];
B = vars[3];
keep ID A B;
run;
You can only have one type of variable in an array, so it's slightly more complicated if they are not all numeric or all character. Additionally you will need to know the name of the first variable and any other variables that you wish to keep if you don't want to have the duplicates of the second and third variables.
A more robust approach is to use information from a dictionary table and a macro variable to write your rename statement:
proc sql;
/* Write the individual rename assignments */
select strip(name) || " = " || substr("ABCDEFGHIJKLMNOPQRSTUVWXYZ", varnum - 1, 1)
/* Store them in a macro variable and separate them by spaces */
into :vars separated by " "
/* Use a sas dictionary table to find metadata about the dataset */
from sashelp.vcolumn
where
libname = "WORK" and
memname = "TEST0" and
2 <= varnum <= 3;
quit;
data test1;
set test0;
rename &vars.;
run;
SAS stores information about datasets in dictionary tables, which have views available in the sashelp library. Take a look in some of the sashelp.v* tables to see what kind of information is available. The proc sql colon is used to store values in a macro variable, which can then be used in the rename statement.
I'd recommend the second approach as it is considerably more flexible and less dependent on the exact structure of your data. It also expands better when you have more than a couple of variables to rename.
Finally, if you want to make the changes to a dataset in place you may want to take a look at using proc datasets (in combination with the dictionary table approach) to do the renaming, as this can change the variable names without having to read and write every line of data.
I want to perform some regression and i would like to count the number of nonmissing observation for each variable. But i don't know yet which variable i will use. I've come up with the following solution which does not work. Any help?
Here basically I put each one of my explanatory variable in variable. For example
var1 var 2 -> w1 = var1, w2= var2. Notice that i don't know how many variable i have in advance so i leave room for ten variables.
Then store the potential variable using symput.
data _null_;
cntw=countw(¶meters);
i = 1;
array w{10} $15.;
do while(i <= cntw);
w[i]= scan((¶meters"),i, ' ');
i = i +1;
end;
/* store a variable globally*/
do j=1 to 10;
call symput("explanVar"||left(put(j,3.)), w(j));
end;
run;
My next step is to perform a proc sql using the variable i've stored. It does not work as
if I have less than 10 variables.
proc sql;
select count(&explanVar1), count(&explanVar2),
count(&explanVar3), count(&explanVar4),
count(&explanVar5), count(&explanVar6),
count(&explanVar7), count(&explanVar8),
count(&explanVar9), count(&explanVar10)
from estimation
;quit;
Can this code work with less than 10 variables?
You haven't provided the full context for this project, so it's unclear if this will work for you - but I think this is what I'd do.
First off, you're in SAS, use SAS where it's best - counting things. Instead of the PROC SQL and the data step, use PROC MEANS:
proc means data=estimation n;
var ¶meters.;
run;
That, without any extra work, gets you the number of nonmissing values for all of your variables in one nice table.
Secondly, if there is a reason to do the PROC SQL, it's probably a bit more logical to structure it this way.
proc sql;
select
%do i = 1 %to %sysfunc(countw(¶meters.));
count(%scan(¶meters.,&i.) ) as Parameter_&i., /* or could reuse the %scan result to name this better*/
%end; count(1) as Total_Obs
from estimation;
quit;
The final Total Obs column is useful to simplify the code (dealing with the extra comma is mildly annoying). You could also put it at the start and prepend the commas.
You finally could also drive this from a dataset rather than a macro variable. I like that better, in general, as it's easier to deal with in a lot of ways. If your parameter list is in a data set somewhere (one parameter per row, in the dataset "Parameters", with "var" as the name of the column containing the parameter), you could do
proc sql;
select cats('%countme(var=',var,')') into :countlist separated by ','
from parameters;
quit;
%macro countme(var=);
count(&var.) as &var._count
%mend countme;
proc sql;
select &countlist from estimation;
quit;
This I like the best, as it is the simplest code and is very easy to modify. You could even drive it from a contents of estimation, if it's easy to determine what your potential parameters might be from that (or from dictionary.columns).
I'm not sure about your SAS macro, but the SQL query will work with these two notes:
1) If you don't follow your COUNT() functions with an identifier such as "COUNT() AS VAR1", your results will not have field headings. If that's ok with you, then you may not need to worry about it. But if you export the data, it will be helpful for you if you name them by adding "...AS "MY_NAME".
2) For observations with fewer than 10 variables, the query will return NULL values. So don't worry about not getting all of the results with what you have, because as long as the table you're querying has space for 10 variables (10 separate fields), you will get data back.
I'm dealing with one data problem in sas.
I have one dateset including 1000 variables and 1000 records for each variable.
And I have another variable list which includes 100 variable names.
I'd like to subset the first dataset when the variable names in that dataset match the variable list.
I tried proc merge and proc sql, but cannot work it out.
Could any one help me out?
Thanks a lot
SAS keeps or drops variables with the conveniently named keywords 'keep' and 'drop'. PROC SQL can help you generate a list if you don't already have it in text format.
data want;
set have;
keep var1 var2 var3 var4;
run;
If you have the list of variables in dataset "vnames" with the variable "tokeep", you can do this:
proc sql;
select tokeep into :keeplist separated by ' ' from vnames;
quit;
data want;
set have;
keep &keeplist.;
run;
PROC SQL is taking the contents of 'tokeep' and instead of selecting them to a table or the screen, putting them in a space-delimited list inside a macro variable 'keeplist', which then is used as the arguments for the 'keep' statement.
Here you can find how to output a list of all the variable names of a dataset as another dataset. This will make it way easier to decide which of the big datasets you will use and which you will not (e.g. a left (or right) join of variable names, then look at the number of rows is at least the count of variables which you want to have).