turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- BI
- /
- Enterprise Guide
- /
- Find the number of values greater than zero for mu...

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

07-05-2017 09:25 AM

Folks,

I've a number of variables which I would like to figure out how many values are greater than 0. For easy I've read them into an array but I'm having trouble getting the count of values which are greater than 0 or .

Any help would be most welcome.

```
data want;
set test;
array vars {*} untaxedother adjustednetprofit
amount
amtcarersallowance
amtcharged
annuitypension
balcharges
bills
cae
distminretire
distprsaretire
dividends
employer_prsi
eudirtamt
exempt
exemptnotded
farmretirementpension
farmretscheme
foreignnotpaye
foreigntradenotax
foreigntradetaxded
gaindisposalhigher
gaindisposallower
gainhitaxableoffshorefunds
gaintaxablegainrtlifepolicies
gaintaxablelifepolicies
do _i_=1 to dim(vars);
if vars{_i_}=0 then vars{_i_}=.;
end;
run;
proc means data=want n min max mean median;
var vars;
run;
```

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Sean_OConnor

07-05-2017 09:35 AM

You could just use the sum() function:

data want; set test; array vars {*} untaxedother adjustednetprofit ...; want_sum=sum(of vars{*}); run;

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Sean_OConnor

07-05-2017 09:39 AM

An array is a temporary construct that only exists while the datastep it was defined in is running. It is not written into the output datasets, so you cannot use it in the following proc means.

Are you running your means on all numeric variables in the dataset?

If yes, consider

```
proc means data=want n min max mean median;
var _numeric_;
run;
```

---------------------------------------------------------------------------------------------

Maxims of Maximally Efficient SAS Programmers

Maxims of Maximally Efficient SAS Programmers

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Sean_OConnor

07-05-2017 09:44 AM

It is very easy for IML .

```
data HAVE;
input COUNTY $ SCHOOL $ ENROLLMENT VAXA VAXB SCHOOLTYPE $ ;
cards;
countyA littlet 50 48 45 private
countyA happyda 100 88 77 public
countyA playtim -25 22 23 private
countyB busybee -23 22 21 public
countyB childti -27 25 25 public
;
run;
proc iml;
use have;
read all var _num_ into x;
close;
count=(x>0)[,+];
create count var{count};
append;
close;
quit;
data want;
merge have count;
run;
```

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Sean_OConnor

07-05-2017 09:56 AM

You can try this,

```
data want(drop=i);
set test;
array vars {*} untaxedother adjustednetprofit ....;
gt_0_cnt=0;
do i=1 to dim (vars);
gt_0_cnt + ifn(vars(i) > 0,1,0);
end;
run;
```

The new variable (gt_0_cnt) should show you, the number/sum of variables in your array, that have a value greater than 0, for every row/record in your data set.

Hope this helps,

Ahmed

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Sean_OConnor

07-05-2017 09:56 AM

I'll often do something like this to get a feel for what is in the data, but with a little more information. For example:

proc format;

value posneg low - <0 = 'Negative' 0 = 'Zero' 0 - high = 'Positive';

run;

proc freq data=have;

tables _numeric_;

format _numeric_ posneg.;

run;

If you only want to report on some of the numeric variables, you can replace _numeric_ with the actual list as part of the TABLES statement. (The FORMAT statement can stay as is.)