topic Proc format for categorizing negative values? in SAS Programming

Proc format for categorizing negative values?

dunga — Fri, 04 Aug 2017 17:11:28 GMT

/*Hi SAS Forum,

I have a dataset like below.

I want to categorize the outsatnding_balance into bands.

data have;

input OS_Balance;

cards;

-999.1

-999

-998.7

-500

-100

-75

-50

-25

0.00001

;

run;

I have created the below proc format and it does seem correctly doiing the banding.

Q: However, my gut suggets me that the way I have defined the banding is unconventional/awkward.

Could an expert propose an alternative standard way of defining negative bands? */

proc format fmtlib;

value val

. = 'Missing'

low - < -999 = '<-999'

-999 = '-999'

-999 <- -500 = '>-999 - -500'

-500 <- -100 = '>-500 - -100'

-100 <- -75 = '>-100 - -75'

-75 <- -50 = '>-75 - -50'

-50 <- -25 = '>-50 - -25'

-25 <- <0 = '>-25 - <0'

0 = '0'

0 <- High = '>0'

;

run;

data want_1;

set have;

variable= put (OS_Balance, val.);

run;

proc freq data=want_2;

tables LENDING_UTIL_PERCENTAGE/list missing;

format LENDING_UTIL_PERCENTAGE val.;

run;

/*Thanks

Mirisa*/

Re: Proc format for categorizing negative values?

art297 — Fri, 04 Aug 2017 18:03:57 GMT

I don't see any problem with the way you defined your buckets, but there is no need to create a new variable or dataset. e.g.:

data have;
input OS_Balance;
cards;
.
-999.1
-999
-998.7
-500
-100
-75
-50
-25
-0
0
0.00001
;
run;

proc format /*fmtlib*/;
value val
value val
. = 'Missing'
low - < -999 = '<-999'
-999 = '-999'
-999 <- -500 = '>-999 - -500'
-500 <- -100 = '>-500 - -100'
-100 <- -75 = '>-100 - -75'
-75 <- -50 = '>-75 - -50'
-50 <- -25 = '>-50 - -25'
-25 <- <0 = '>-25 - <0'
0 = '0'
0 <- High = '>0'
;
run;

proc freq data=have;
  tables OS_Balance/list missing;
  format OS_Balance val.;
run;

Art, CEO, AnalystFinder.com

Re: Proc format for categorizing negative values?

ballardw — Fri, 04 Aug 2017 19:30:11 GMT

The only serious potential concern I see would be display order in any procedure that displays in Formatted order. You may not get an order you like.

Being mathmatical of bent I am not afraid to use different parantheses to indicate open or closed intervals but that isn't too everyones taste and still has sort order issues:

-999 <- -500 = '[-999,-500)'
-500 <- -100 = '[-500,-100)'
-100 <- -75 = '[-100, -75)'
-75 <- -50 = '[ -75 , -50)'
-50 <- -25 = '[ -50, -25)'
-25 <- <0 = '[ -25, 0)'

a [ or ] indicates the value on the low or high end of the interval is included, ( or ) it is excluded