Statements:-
Var Statement
Specify the variables to print ranks. Otherwise it prints ranks for all numeric variables.
Ranks Statement
Identify a variable that contains the ranks. Without Ranks statement ranks will replace in original values.
By Statement
Calculate a separate set of ranks for each BY group wise.

Example1:-
Data RNK1;
Input AREA gain;
Datalines;
1 7.2
1 7.9
1 7.6
1 6.3
1 8.4
1 8.1
3 5.5
3 6.7
3 8.9
2 8.1
2 7.3
2 7.7
2 7.7
;
Run;
It creates ranks for all numeric variables from recent created dataset or specify Data=Dataset for which dataset variables you want create ranks. And ranks will replace on original values in output dataset.
Proc Rank; Proc Rank data=RNK1;
Run; Run;

If we won’t use out=dataset system creates datasets like DATA1, DATA2 etc… with rank variables but if we use out=dataset ranks will produce in output dataset not in data1…etc.
Proc Rank data=RNK1 out=RNK2;
Run;
Default Proc rank doesn’t have display output. But to print output use proc print.

Proc rank data=RNK1 out=RNK2;
Proc print data=RNK2;
Title ‘Rankings with in Locations’;
Run;
Specify the variables to print ranks. Otherwise it prints ranks for all numeric variables.
Proc rank data=RNK1 out=RNK2;
Var gain;
Run;
Identify a variable that contains the ranks. Without Ranks statement ranks will replace in original values.
Proc rank data=RNK1 out=RNK2;
Var gain;
Ranks rankgain;
Run;
Above program creates dataset but if you want to print the output write below program
Proc rank data=RNK1 out=RNK2;
Var gain;
Ranks rankgain;
Proc print data=RNK2;
Title ‘Rankings with in Locations’;
Run;
Computes fractional ranks (Fraction)
Proc rank data=Rnk1 out=Rnk2 fraction;
Var gain;
Ranks x;
Proc print noobs;
Run;
Computes ranks from highest to lowest order (Descending)
Proc rank data=Rnk1 out=Rnk2 descending;
Var gain;
Ranks x;
Proc print noobs;
Run;
Partition observations into groups (Groups=no of groups)
Proc rank data=Rnk1 out=Rnk2 groups=4;
Var gain;
Ranks x;
Proc print noobs;
Run;
Computes Savage (or exponential) scores from the ranks (Savage)
Proc rank data=Rnk1 out=Rnk2 savage;
Var gain;
Ranks x;
Proc print noobs;
Run;
Specifies how to compute normal scores or ranks for tied data values (Ties=High | Low | Mean | Dense)
Proc rank data=Rnk1 out=Rnk2 ties=high;
Var gain;
Ranks x;
Proc print noobs;
Run;
Divides each rank by the number of observations that have nonmissing values of the variable and multiplies the result by 100 to get a percentage (Percent)
Proc rank data=Rnk1 out=Rnk2 percent;
Var gain;
Ranks x;
Proc print noobs;
Run;
Computes normal scores from the ranks. The resulting variables appear normally distributed (Normal=Blom | Tukey | VW)
Proc rank data=Rnk1 out=Rnk2 normal=blom;
Var gain;
Ranks x;
Proc print noobs;
Run;
Prints ranks and arranges the values in by variable wise
Proc sort data=rnk1 out=rnk1a;
By area;
Run;
Proc rank data=RNK1a out=RNK2;
Var gain;
Ranks rankgain;
Proc print data=RNK2;
Title ‘Rankings With in Locations’;
Run;
Prints the ranks on each by group wise in grouping variable. Default arranged in ascending order.
Proc sort data=rnk1 out=rnk1a;
By area;
Run;
Proc rank data=RNK1a out=RNK2;
By area;
Var gain;
Ranks rankgain;
Proc print data=RNK2;
Title ‘Rankings With in Locations’;
Run;
Prints the ranks on each by group wise in grouping variable (descending order).
Proc sort data=rnk1 out=rnk1a;
By area;
Run;
Proc rank data=RNK1a out=RNK2 descending;
By area;
Var gain;
Ranks rankgain;
Proc print data=RNK2;
Title ‘Rankings With in Locations’;
Run;
Prints the ranks in separate outputs on each by group in grouping variable
Proc sort data=rnk1 out=rnk1a;
By area;
Run;
Proc rank data=RNK1a out=RNK2;
By area;
Var gain;
Ranks rankgain;
Proc print data=RNK2;
By area;
Title ‘Rankings With in Locations’;
Run;