R help - Jan 2006 - Kolmogorov-Smirnov Test - what are the exact alternative hypotheses?

Hi everyone,

I have performed the Kolmogorov-Smirnov test (ks.test) with R the first 
time.

What I am not sure about is the exact alternative hypotheses (H1) given 
any H0.

According to Conover (1971) Practical Nonparametric Statistics, chapter 
6, the following one-sample tests can be performed:

(1) Two-sided test

    H0: F(x) = F*(x)
    H1: F(x) =/= F*(x) [for at least one x]


(2) one-sided test

    (2.a): "less"
   
    H0: F(x) =< F*(x)
    H1: F(x) > F*(x) [for at least one x]


    (2.b): "greater"

    H0: F(x) >= F*(x)
    H1: F(x) < F*(x) [for at least one x]

with F(x) being the empirical distribution of sample data and F*(x) the 
hypothesised distribution. F*(x) requires full specification, which can 
be achieved by "fitdistr(..., F*(x)).


The KS Test on R tests a sample performs a 2-sided test as default mode.
The choice for "alternative" seems to allow for a choice of H0
different
to the standard of two-sided.

Suppose one would chooses "less" or "greater" as
"alternative". Does the
KS test automatically set the correct H1?
Whenever I perform the test, the alternative hypothesis is not being 
stated, that is why I am not certain whether I would be correct to make 
this assumption.

Here is an example of the output for a test:
P*(x) is a lognormal distribution, fully specified with meanlog and sdlog.

====================
 > ks.test(spread,plnorm, meanlog=2.359, sdlog=0.588, alternative = 
"greater")

        One-sample Kolmogorov-Smirnov test

data:  spread
D^+ = 0.035, p-value = 0.0462
alternative hypothesis: greater

Warning message:
cannot compute correct p-values with ties in: ks.test(spread, plnorm, 
meanlog = 2.359, sdlog = 0.588, alternative = "greater")

=====================
In the above test I am testing one-sided, i.e. (2.b) above. Does ks.test 
automatically set H1 such that "F(x) < F*(x) for at least one x"?

Thank you for your help.

Bernd Dittmann