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The fill() and seq() functions are alternatives. In essence, fill() requires a minimal example
that indicates the kind of sequence required, whereas seq() requires that the rule be specified through
options. There are sequences that fill() can produce that seq() cannot, and vice versa. fill()
cannot be combined with if or in, in contrast to seq(), which can.

Most applications of rank() will be to one variable, but the argument exp can be more general,
namely, an expression. In particular, rank(-varname) reverses ranks from those obtained by
rank(varname).
The default ranking and those obtained by using one of the track, field, and unique options
differ principally in their treatment of ties. The default is to assign the same rank to tied values
such that the sum of the ranks is preserved. The track option assigns the same rank but resembles
the convention in track events; thus, if one person had the lowest time and three persons tied for
second-lowest time, their ranks would be 1, 2, 2, and 2, and the next person(s) would have rank 5.
The field option acts similarly except that the highest is assigned rank 1, as in field events in which
the greatest distance or height wins. The unique option breaks ties arbitrarily: its most obvious use
is assigning ranks for a graph of ordered values. See also group() for another kind of “ranking”.

summarize displays the mean and standard deviation of a variable across observations; program
writers can access the mean in r(mean) and the standard deviation in r(sd) (see [R] summarize).
egen’s rowmean() function creates the means of observations across variables. rowmedian() creates
the medians of observations across variables. rowpctile() returns the #th percentile of the variables
specified in varlist. rowsd() creates the standard deviations of observations across variables.
rownonmiss() creates a count of the number of nonmissing observations, the denominator of the
rowmean() calculation
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