ks.test in ctest package (PR#934)

mh smith writes:

1.  There is, I believe, some redundant code in the calculation of the
test statistic in ks.test in the package ctest.

Thanks, fixed.

2.    The manual entry should also make it clear that the one-sided
tests are not about theactual cdf in relation to the null hypothsis cdf
Fo, but about the quantiles of the actual distribution in relation to
the quantiles of the null hypothesis cdf.

...

THanks for catching this bug.  This should really give the usual
behavior that e.g. `alternative = "less"' means H_0: F >= F_0 for all
points vs H_a: F(t) < F_0(t) for some t.  Fixed now.

3.    Another feature that it would be very useful to add to ks.test
would be the automatic return of  a confidence interval for the actual
cdf F.  Adding a conf.level argument and taking the form of the interval
from the value of the alternative argument would be a relatively simple
task, although it would require .  This would bring the value of the
function into line with the t.test function.

I am not sure whether we want to do this in the simple htest framework.
Attempting to print a confidence interval given by two functions rather
than two values will be confusing.  I'd much rather have users do

	confint(ecdf(x), conf.level = 0.95)

where a generic confint as in MASS with a method for objects of class
"ecdf" as in stepfun.

[The ``classical'' tests conceptually are really about a single
parameter only.  Should this be changed?  One could argue that if a
hypothesis about the underlying distribution function is tested ...]

-k
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