topic Re: how to limit observations and delete rows using one statement? in SAS Studio

how to limit observations and delete rows using one statement?

xiaolufan — Tue, 01 Nov 2016 18:08:18 GMT

I am using University Edition, and tried to limit observations in line 78.

I just want to have the output which only contains the "self" in variable V103.

and also want to drop rows, do I have to write down each row name, or is there any convenience way.

here is my log file.

61 proc import out=dataset3

62 datafile= '/folders/myfolders/Project/09836-0003-Data.'

63 dbms=sav

64 replace;

NOTE: The import data set has 31827 observations and 89 variables.

NOTE: WORK.DATASET3 data set was successfully created.

NOTE: PROCEDURE IMPORT used (Total process time):

real time 0.36 seconds

cpu time 0.24 seconds

66 data dataset3;

67 set dataset3;

68 NEWUCODE=input(UCODE,best32.);

69 drop UCODE;

70 rename NEWUCODE=UCODE;

NOTE: Numeric values have been converted to character values at the places given by: (Line):(Column).

68:16

NOTE: There were 31827 observations read from the data set WORK.DATASET3.

NOTE: The data set WORK.DATASET3 has 31827 observations and 89 variables.

NOTE: DATA statement used (Total process time):

real time 0.09 seconds

cpu time 0.09 seconds

72 data dataset3;

73 retain UCODE V103 V104;

74 set dataset3;

NOTE: There were 31827 observations read from the data set WORK.DATASET3.

NOTE: The data set WORK.DATASET3 has 31827 observations and 89 variables.

NOTE: DATA statement used (Total process time):

real time 0.09 seconds

cpu time 0.08 seconds

76 data dataset3;

77 set dataset3;

78 if V103 ne self then delete;

NOTE: Variable self is uninitialized.

NOTE: There were 31827 observations read from the data set WORK.DATASET3.

NOTE: The data set WORK.DATASET3 has 68 observations and 90 variables.

NOTE: DATA statement used (Total process time):

real time 0.05 seconds

cpu time 0.04 seconds

80 data dataset3;

81 drop V108 V116 V117 V201 V202 V203 V207 V210 V211 V212 V216 V217 V218 V221 V221A;

82 set dataset3;

NOTE: There were 68 observations read from the data set WORK.DATASET3.

NOTE: The data set WORK.DATASET3 has 68 observations and 75 variables.

NOTE: DATA statement used (Total process time):

real time 0.03 seconds

cpu time 0.02 seconds

85 proc means;

86 run;

NOTE: There were 68 observations read from the data set WORK.DATASET3.

NOTE: PROCEDURE MEANS used (Total process time):

real time 0.30 seconds

cpu time 0.30 seconds

Re: how to limit observations and delete rows using one statement?

Kurt_Bremser — Tue, 01 Nov 2016 18:26:53 GMT

Without quotes, SAS assumes that self is the name of a variable. Character literals must be enclosed in single or double quotes.

Re: how to limit observations and delete rows using one statement?

xiaolufan — Tue, 01 Nov 2016 18:29:08 GMT

i was tried to add the quotes, but there is another error that is:

ERROR: Variable V103 has been defined as both character and numeric.

Re: how to limit observations and delete rows using one statement?

rcrs2 — Tue, 01 Nov 2016 18:31:19 GMT

You can just replace line 78 with this:

if V103='Self';

Re: how to limit observations and delete rows using one statement?

xiaolufan — Tue, 01 Nov 2016 18:32:33 GMT

it still shows that ERROR: Variable V103 has been defined as both character and numeric.

Re: how to limit observations and delete rows using one statement?

rcrs2 — Tue, 01 Nov 2016 18:36:51 GMT

Try using the put() function to transform V103 into a string variable. I find a solution to that error in the following URL:

https://communities.sas.com/t5/Base-SAS-Programming/Variable-has-been-defined-as-both-character-and-numeric/td-p/81482

Re: how to limit observations and delete rows using one statement?

Kurt_Bremser — Tue, 01 Nov 2016 20:05:57 GMT

@xiaolufan wrote:

i was tried to add the quotes, but there is another error that is:

ERROR: Variable V103 has been defined as both character and numeric.

Look at your data. If V103 is numeric, it makes no sense comparing it to the string "self".

Use proc contents on the input dataset(s).