Proc sort data=dataset;
by idnumber ;
run;

here is solution to ur problem 
options formdlim='.';

data abc;
input s w k g o t a m;
cards;
1 2 3 4 5 6 7 8 
2 3 4 5 6 7 8 9
;
run;
**** create a dummy variable by assigning the values of any 
one of ur variable;
**** here I have taken the values of S variable of your ABC 
data set;
data setabc;
set abc;
l=s;
run;
proc print;run;
* transpose the variables into observations of a transposed 
data set by using the ID statement; 
proc transpose data=setabc out=T1_abc let;
id l;
run;
proc print;run;
**sort the transposed data set by using _name_ variable 
	inorder to get varibales in a ascending order;
proc sort data=T1_abc;
by _name_;
run;
proc print;run;
** once again transpose the sorted data set with the _name_ 
variable in ID statement;
proc transpose data=t1_abc out=t2_abc(drop=_name_) let;
id _name_;
run;
proc print noobs;
title 'sorting the variables in Ascending order';
run;

data abc;
input s w k g o t a m;
cards;
1 2 3 4 5 6 7 8 
2 3 4 5 6 7 8 9
;
run;
proc sort data=abc;
run;

data xyz;
set abc;
retain a g k m o s t;
run;

simple..in the proc print statement use VAR statement and 
give the variables in ur order...u'll get the ouput with 
variables ordered in ur VAR statement..

The TRANSPOSE procedure creates an output data set by 
restructuring the values in a SAS data set, transposing 
selected variables into observations.

To make this crosstabulation of time of day and choice of
radio programming, you must have a data set that contains a
variable for time of day and a variable for programming
preference. PROC TRANSPOSE reshapes the data into a new data
set that contains these variables

Sas generates output formats like RTF,HTML,listings using 
Sas ods.

we can generate many types of reports by using sas like RTF,
HTML. PDF , TABULATE FORMAT ,

proc to produce output

data to read the information

we can create the sas data set from raw data file in data step

Then in proc step we can do the analysis on sas data set and
also we can get o/p

Data step to read and modify data , creates a SAS data set 
and begin with DATA statement.
Proc step to perform specific analysis , produce results 
and begin with PROC statement.

A Data step can be used to:
1)Put your data into SAs dataset
2)Create and format values for new variables
3)Creating new dataset in terms of sub setting,merging and 
updating existing dataset.
A Proc step can be used to:
1)To print a report
2)Derive descriptive statistics,charts and plots
3)To create tabular report,create frequency chart etc.

It will just neglect the 1st error in your code & it will 
execute the rest of the code.

but even one error exisit it won't genrate the compalied 
program to execuit

I basically prefer Proc report. By using proc report also 
you can create a Tabular format report and its pretty 
simple.

Returns values from the queues

Lag() function returns the value of the first previous 
observation in a time series. It could be used in Auto 
Regression analysis for time series. 

For example, Let y be the cloumn name for the original time 
series, the analysis for AR(2) could be:

data test;
set test;
m = lag(y);
n = lag(m);
run;
proc reg data = test;
model y = m n;
run;

By using the DATA step Merge.

we can use Merge and set statements to join the tables in
Data step

If we consider 'a' as lower limit and 'z' as upper limit,
a-z is used to refer numeric variables and a--z is used to
refer to character variables.