I have a sas7bdat table that contains format information but I do not have the formats, so lots of the data appears as * and doesn't make much sense. I know the informat data that lies beneath is there — how can I remove all formats from the table?
There is another way in addition to #JustinDavies's answer that is to use PROC DATASETS procedure.
Adapted from the SAS documentation: Example 1: Removing All Labels and Formats in a Data Set
proc datasets lib=<your library> memtype=data nolist;
modify <your dataset>;
attrib _all_ label=' ';
attrib _all_ format=;
attrib _all_ informat=;
run;
The advantage in using PROC DATASETS is that it modifies the dataset's metadata in-place - i.e., it is not going to create a new dataset as suggested in the other answer to this question. That feature could be of advantage if your dataset is large.
The following code will strip all formatting from the table FORMATTED_TABLE and create a new table named UNFORMATTED_TABLE
data UNFORMATTED_TABLE;
set FORMATTED_TABLE;
format _all_;
run;
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 have a simple data table in SAS, where I have the results from a survey I sent to my friends:
DATA Questionnaire;
INPUT make $ Question_Score ;
CARDS;
Ned 1
Shadowmoon 2
Heisenberg 1
Athelstan 4
Arnold 5
;
RUN;
What I want to do, using SAS, is to export this table into SPSS (.sav), and also have the value labels for the Question_Score, like shown in the picture below:
I then proceed to create a format in SAS (in hope this would do it):
PROC FORMAT;
VALUE Question_Score_frmt
1="Totally Agree"
2="Agree"
3="Neutral"
4="Disagree"
5="Totally Disagree"
;
run;
PROC FREQ DATA=Questionnaire;
FORMAT Question_Score Question_Score_frmt.
;
TABLES Question_Score;
RUN;
and finally export the table to a .sav file using the fmtlib option:
proc export data=Questionnaire outfile="D:\Questionnaire.sav"
dbms=spss replace;
fmtlib=work.Q1frmt;
quit;
Only to disappoint myself seeing that it didn't work.
Any ideas on how to do this?
You didn't apply the format to the dataset, unfortunately, you applied it to the proc freq. You would need to use PROC DATASETS or a data step to apply it to the dataset.
proc datasets lib=work;
modify questionnaire;
format Question_Score Question_Score_frmt.;
run;
quit;
Then exporting will include the format, if it's compatible in SAS's opinion with SPSS's value label rules. I will note that SAS's understanding of SPSS's rules is quite old, based on I think SPSS version 9, and so it's fairly often that it won't work still, unfortunately.
Good day!
I need a list of libraries-tables on a SAS server with a size of each table and last time, when it was open/used.
I'm not very familiar with SAS, so I don't even know where would I start searching :(
I assume, that there is some simple solution, maybe a proc of some sort, that may help...
You can use proc contents to access metadata about a library in SAS, for example using the sashelp library:
proc contents data = sashelp._ALL_ NODS;
run;
sashelp is the library you are refencing. By specifying _ALL_ you ask SAS for data about all the files in this library (by choosing a singular file such as sashelp.ztc you can get information on jut one file).
This will give you a lot of information, so by using the NODS statement you can suppress the output to give you less detail. The above code will give you the number of files, their type, the level, the file size, and the data they were last modified.
If you want to output this information to a dataset, you have to use the ODS output system with the correct ods table name, in this case it is Members. Furthermore, if you're looking for datasets in particular then you can filter the output with a where= statement:
ods output Members = test (where = (memtype = "DATA"));
proc contents data = work._ALL_ NODS noprint;
run;
ods listing; /* change back to listing output*/
I'm new to SAS and have some problems with adding a column to existing data set in SAS using MODIFY statement (without proc sql).
Let's say I have data like this
id name salary perks
1 John 2000 50
2 Mary 3000 120
What I need to get is a new column with the sum of salary and perks.
I tried to do it this way
data data1;
modify data1;
money=salary+perks;
run;
but apparently it doesn't work.
I would be grateful for any help!
As #Tom mentioned you use SET to access the dataset.
I generally don't recommend programming this way with the same name in set and data statements, especially as you're learning SAS. This is because it's harder to detect errors, since once run and encounter an error, you destroy your original dataset and have to recreate it before you start again.
If you want to work step by step, consider intermediary datasets and then clean up after you're done by using proc datasets to delete any unnecessary intermediary datasets. Use a naming conventions to be able to drop them all at once, i.e. data1, data2, data3 can be referenced as data1-data3 or data:.
data data2;
set data1;
money = salary + perks;
run;
You do now have two datasets but it's easy to drop datasets later on and you can now run your code in sections rather than running all at once.
Here's how you would drop intermediary datasets
proc datasets library=work nodetails holist;
delete data1-data3;
run;quit;
You can't add a column to an existing dataset. You can make a new dataset with the same name.
data data1;
set data1;
money=salary+perks;
run;
SAS will build it as a new physical file (with a temporary name) and when the step finishes without error it deletes the original and renames the new one.
If you want to use a data set you do it like this:
data dataset;
set dataset;
format new_column $12;
new_column = 'xxx';
run;
Or use Proc SQL and ALTER TABLE.
proc sql;
alter table dataset
add new_column char(8) format = $12.
;
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