Technology Tales

Adventures & experiences in contemporary technology

Changing the working directory in a SAS session

12th August 2014

It appears that PROC SGPLOT and other statistical graphics procedures create image files even if you are creating RTF or PDF files. By default, these are PNG files but there are other possibilities. When working with PC SAS , I have seen them written to the current working directory and that could clutter up your folder structure, especially if they are unwanted.

Being unable to track down a setting that controls this behaviour, I resolved to find a way around it by sending the files to the SAS work directory so they are removed when a SAS session is ended. One option is to set the session’s working directory to be the SAS work one and that can be done in SAS code without needing to use the user interface. As a result, you get some automation.

The method is implicit though in that you need to use an X statement to tell the operating system to change folder for you. Here is the line of code that I have used:

x "cd %sysfunc(pathname(work))";

The X statement passes commands to an operating system’s command line and they are enclosed in quotes. %sysfunc then is a macro command that allows certain data step functions or call routines as well as some SCL functions to be executed. An example of the latter is pathname and this resolves library or file references and it is interrogating the location of the SAS work library here so it can be passed to the operating systems cd (change directory) command for processing. This method works on Windows and UNIX so Linux should be covered too, offering a certain amount of automation since you don’t have to specify the location of the SAS work library in every session due to the folder name changing all the while.

Of course, if someone were to tell me of another way to declare the location of the generated PNG files that works with RTF and PDF ODS destinations, then I would be all ears. Even direct output without image file creation would be even better. Until then though, the above will do nicely.

Some SAS Macro code for detecting the presence or absence of a variable in a dataset

4th December 2013

Recently, I needed to put in place some code to detect the presence or absence of a variable in a dataset and I chose SAS Macro programming as the way to do what I wanted. The logic was based on a SAS sample that achieved the same result in a data step and some code that I had for detecting the presence or absence of a dataset. Mixing the two together gave me something like the following:

%macro testvar(ds=,var=);

%let dsid=%sysfunc(open(&ds,in));
%let varexist=%sysfunc(varnum(&dsid,&var));
%if &dsid > 0 %then %let rc=%sysfunc(close(&dsid));

%if &varexist gt 0 %then %put Info: Variable &var is in the &ds dataset;
%else %put Info: Variable &var is not in the &ds dataset;

%mend testvar;

%testvar(ds=dataset,var=var);

What this does is open up a dataset and look for the variable number in the dataset. In datasets, variables are numbered from left to right with 1 for the first one, 2 for the second and so on. If the variable is not in the dataset, the result is 0 so you know that it is not there. All of this is what the VARNUM SCL function within the SYSFUNC macro function does. In the example, this resolves to %sysfunc(varnum(&dsid,var)) with no quotes around the variable name like you would do in data step programming. Once you have the variable number or 0, then you can put in place some conditional logic that makes use of the information like what you see in the above simple example. Of course, that would be expanded to something more useful in real life but I hope it helps to show you the possibilities here.

Presenting more than one plot on a page using SAS ODS PDF

12th November 2012

If you had asked me about getting two or more graphs on a page using SAS/GRAPH procedures, I might have suggested PROC GREPLAY as the means to achieve it. However, I recently came across another way to do the same thing by using ODS. It helped that the graphs were being produced using the PDF destination because I don’t think that what follows will work with the RTF one.

For this three plots on a page example, I first set the orientation to landscape so that the plots can be arranged side by side in a single row:

options orientation=landscape;

Next, the PDF destination was opened with page breaks turned off for the required output file using the STARTPAGE option:

ods pdf file="c:\test.pdf" startpage=off;

The listing destination was turned off as well since it is not needed:

ods listing close;

With that complete, a page or region break gets inserted. This could have been repeated before every procedure to get it popped into the next region on the page but that is the default behaviour for any extra procedural step so it wasn’t needed.

ods pdf startpage=now;

Then, the ODS LAYOUT feature is started so that the layout can be defined on the page:

ods layout start;

For the first plot and the one at the left of the triptych, a region was defined absolutely (grid layouts are available but I didn’t make use of them here) using ODS REGION. Since all plots were to be of the same size, the width was defined as being a third of the page and the bottom left hand corner of the region defined to be the same as that of the plot area on the page. Titles and footnotes usefully lie outside this region in the way that SAS arranges things so there is no further messing. With the region define, it’s a matter of running the required SAS/GRAPH procedure. In my case, this was GPLOT but I am certain that others would work as well. The height was defined as the full possible plot height. This could have a use if I wanted more than one row of graphs on a page with a trellis plot being an example of that sort of arrangement.

ods region x=0pct y=0pct width=33pct height=100pct;

<< SAS/GRAPH Procedure >>

For the middle plot, the starting position is moved a third of the way along the page while the section area has the same dimensions as before. Using percentages in these definitions does make their usage easier.

ods region x=33pct y=0pct width=33pct height=100pct;

<< SAS/GRAPH Procedure >>

Lastly, the right-hand plot has a starting position two-thirds of the width of the page and the other dimensions are as per the other panels:

ods region x=66pct y=0pct width=33pct height=100pct;

<< SAS/GRAPH Procedure >>

With the last graph created, it is time to close ODS LAYOUT and the PDF destination. Then, the listing destination is reopened again.

ods layout end;
ods pdf close;
ods listing;

Update 2012-12-08: Since writing the above, I have learned that ODS LAYOUT and ODS REGION have yet to become production features of SAS with 9.3 as the latest version. However, I have encountered an alternative that uses the STARTPAGE=NEVER ODS PDF option to turn off page breaks and GOPTIONS statements to control the regions occupied by plots. It’s Sample 48569 on the SAS website. Having a production equivalent is better since pre-production features are best avoided in production code. If I had realised the status, I would have used PROC GREPLAY to achieve what I needed to do.

Using the IN operator in SAS Macro programming

8th October 2012

This useful addition came in SAS 9.2 and I am amazed that it isn’t enabled by default. To accomplish that, you need to set the MINOPERATOR option unless someone has done it for you in the SAS AUTOEXEC or another configuration program. Thus, the safety first approach is to have code like the following:

options minoperator;

%macro inop(x);

%if &x in (a b c) %then %do;
%put Value is included;
%end;
%else %do;
%put Value not included;
%end;

%mend inop;

%inop(a);

Also, the default delimiter is the space, so if you need to change that, then the MINDELIMITER option needs setting. Adjusting the above code so that the delimiter now is the comma character gives us the following:

options minoperator mindelimiter=",";

%macro inop(x);

%if &x in (a,b,c) %then %do;
%put Value is included;
%end;
%else %do;
%put Value not included;
%end;

%mend inop;

%inop(a);

Without any of the above, the only approach is to have the following and that is what we had to do for SAS versions prior to 9.2:

%macro inop(x);

%if &x=a or &x=b or &x=c %then %do;
%put Value is included;
%end;
%else %do;
%put Value not included;
%end;

%mend inop;

%inop(a);

It may be clunky but it does work and remains a fallback in newer versions of SAS. Saying that, having the IN operator available makes writing SAS Macro code that little bit more swish so it’s a good thing to know.

ERROR: This range is repeated, or values overlap: – .

15th September 2012

This is another posting in an occasional series on SAS error and warning messages that aren’t as clear as they’d need to be. What produced the message was my creation of a control data set that I then wished to use to create a data-driven (in)format. It was the PROC FORMAT step that issued the message and I got no (in)format created. However, there were no duplicate entries in the control data set as the message suggested to me so a little more investigation was needed.

What that revealed was that there might be one variable missing from the data set that I needed to have. The SAS documentation has FMTNAME, START and LABEL as compulsory variables with they containing the following: format name, initial value and displayed value. My intention was to create a numeric code variable for one containing character strings using my data-driven format with then numbers specified within a character variable as it should be. What was missing then was TYPE.

This variable can be one of the following values: C for character formats, I for numeric informats, J for character informats, N for numeric formats and P for picture formats. Due to it being a conversion from character values to numeric ones, I set the values of TYPE to I and used an input function to do the required operations. The code for successfully creating the informat is below:

proc sql noprint;
create table tpts as
select distinct "_vstpt" as fmtname,
"I" as type,
vstpt as start,
vstpt as end,
strip(put(vstptnum,best.)) as label
from test
where not missing(vstptnum);
quit;

proc format library=work cntlin=tpts;
run;
quit;

Though I didn’t need to do it, I added an END variable too for sake of completeness. In this case, the range is such that its start and end are the same and there are cases where that will not be the case though I am not dwelling on those.

WARNING: Engine XPORT does not support SORTEDBY operations. SORTEDBY information cannot be copied.

24th July 2012

When recently creating a transport file using PROC COPY and the XPORT library engine, I found the above message in the log. The code used was similar to the following:

libname tran xport "c:\temp\tran.xpt";

proc copy in=data out=tran;
run;

When I went seeking out the cause on the web, I discovered this SAS Note that dates from before the release of SAS 6.12, putting the issue at more than ten years old. My take on its continuing existence is that we still to use a transport file format that was introduced in SAS 5.x for sake of interoperability, both between SAS versions and across alternatives to the platform.

The SORTEDBY flag in a dataset header holds the keys used to sort the data and it isn’t being copied into the XPORT transport files, hence the warning. To get rid of it, you need to remove the information manually in data step using the SORTEDBY option on the DATA statement or using PROC DATASETS, which avoids rewriting the entire data set.

First up is the data step option:

data test(sortedby=_null_);
set sashelp.class;
run;

Then, there’s PROC DATASETS:

proc datasets;
modify test(sortedby=_null_);
run;
quit;

It might seem counterproductive to exclude the information but it makes no sense to keep what’s being lost anyway. So long as the actual sort order is unchanged, and I believe that the code that that below will not alter it, we can live with its documentation in a specification until transport files created using PROC CPORT are as portable as those from PROC COPY.

ERROR: Ambiguous reference, column xx is in more than one table.

5th May 2012

Sometimes, SAS messages are not all that they seem and a number of them are issued from PROC SQL when something goes awry with your code. In fact, I got a message like the above when ordering the results of the join using a variable that didn’t exist in either of the datasets that were joined. This type of thing has been around for a while (I have been using SAS since version 6.11 and it was there then) and it amazes me that we haven’t seen a better message in more recent versions of SAS; it was SAS 9.2 where I saw it most recently.

proc sql noprint;
select a.yy, a.yyy, b.zz
from a left join b
on a.yy=b.yy
order by xx;
quit;

Calculating geometric means using SAS

19th March 2012

Recently, I needed to calculate geometric means after a break of a number of years and ended racking a weary brain until it was brought back to me. In order that I am not in the same situation again, I am recording it here and sharing it always is good too.

The first step is to take the natural log (to base e or the approximated irrational value of the mathematical constant, 2.718281828) of the actual values in the data. Since you cannot have a log of zero, the solution is either to exclude those values or substitute a small value that will not affect the overall result as is done in the data step below. In SAS, the log function uses the number e as its base and you need to use the log10 equivalent when base 10 logs are needed.

data temp;
set temp;
if result=0 then _result=0.000001;
else _result=result;
ln_result=log(_result);
run;

Next, the mean of the log values is determined and you can use any method of doing that so long as it gives the correct values. PROC MEANS is used here but PROC SUMMARY (identical to MEANS except it defaults to data set creation while that generates output by default; because of that, we need to use the NOPRINT option here), PROC UNIVARIATE or even the MEAN function in PROC SQL.

proc means data=temp noprint;
output out=mean mean=mean;
var ln_result;
run;

With the mean of the log values obtained, we need to take the exponential of the obtained value(s) using the EXP function. This returns values of the same magnitude as in the original data using the formula emean.

data gmean;
set mean;
gmean=exp(mean);
run;

Creating placeholder graphics in SAS using PROC GSLIDE for when no data are available

18th March 2012

Recently, I found myself with a plot to produce but there were no data to be presented so a placeholder output is needed. For a lisitng or a table, this is a matter of detecting if there are observations to be listed or summarised and then issuing a placeholder lisitng using PROC REPORT if there are no data available. Using SAS/GRAPH, something similar can be acheived using one of its curiosities.

In the case of SAS/GRAPH, PROC GSLIDE looks like the tool to user for the same purpose. The procedure does get covered as part of a SAS Institute SAS/GRAPH training course but they tend to gloss over it. After all, there is little reason to go creating presentations in SAS when PowerPoint and its kind offer far more functionality. However, it would make an interesting tale to tell how GSLIDE became part of SAS/GRAPH in the first place. Its existence makes me wonder if it pre-exists the main slideshow production tools that we use today.

The code that uses PROC GSLIDE to create a placeholder graphic is as follows (detection of the number of observations in a SAS dataset is another entry on here):

proc gslide;
note height=10;
note j=center "No data are available";
run;
quit;

PROC GSLIDE is one of those run group procedures in SAS so a QUIT statement is needed to close it. The NOTE statements specify the text to be added to the graphic. The first of these creates a blank line of the required height for placing the main text in the middle of the graphic. It is the second one that adds the centred text that tells users of the generated output what has happened.

Creating waterfall plots in SAS using PROC GCHART

17th March 2012

Recently, I needed to create a waterfall plot couldn’t use PROC SGPLOT since it was incompatible with publishing macros that use PROC GREPLAY on the platform that I was using; SGPLOT doesn’t generate plots in SAS catalogs but directly creates graphics files instead. Therefore, I decided that PROC GCHART needed to be given a go and it delivered what was needed .

The first step is to get the data into the required sort order:

proc sort data=temp;
by descending result;
run;

Then, it is time to add an ID variable for use in the plot’s X-axis (or midpoint axis in PROC GCHART) using an implied value retention to ensure that every record in the dataset had a unique identifier:

data temp;
set temp;
id+1;
run;

After that, axes have to be set up as needed. For instance, the X-axis (the axis2 statement below) needs to be just a line with no labels or tick marks on there and the Y-axis was fully set up with these, turning the label from vertical to horizontal as needed with the ANGLE option controlling the overall angle of the word(s) and the ROTATE option dealing with the letters, and a range declaration using the ORDER option.

axis1 label=none major=none minor=none value=none;
axis2 label=(rotate=0 angle=90 "Result") order=(-50 to 80 by 10);

With the axis statements declared, the GCHART procedure can be defined. Of this, the VBAR statement is the engine of the plot creation with the ID variable used for the midpoint axis and the result variable used as the summary variable for the Y-axis. The DISCRETE keyword is needed to produce a bar for every value of the ID variable or GCHART will bundle them by default. Next, references for the above axis statements (MAXIS option for midpoint axis and AXIS option for Y-axis) are added and the plot definition is complete. One thing that has to be remembered is that GCHART uses run group processing so a QUIT statement is needed at the end to close it at execution time. This feature has its uses and appears in other procedures too though SAS procedures generally are concluded by a RUN statement.

proc gchart data=temp;
vbar id / sumvar=result discrete axis=axis2 maxis=axis1;
run;
quit;

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