On 8/16/09, Ted Harding wrote:
> > Oh, I had a slightly different H0 in mind. In the given example,
> > cor.test(..., met="kendall") would test "H0: x and y are independent",
> > but cor.test(..., met="pearson") would test: "H0: x and y are not
> > correlated (or `are linearly independent')" .
On 16-Aug-09 14:06:18, Liviu Andronic wrote:
> Hello,
> On 8/16/09, Ted Harding wrote:
>> I don't know about *compelling* reasons! But (as a general rule)
>> if the Alternative Hyptohesis is stated, then the Null Hypothesis
>> is simply its negation. So, in your example, you can infer
>>
>> H0
Hello,
On 8/16/09, Ted Harding wrote:
> I don't know about *compelling* reasons! But (as a general rule)
> if the Alternative Hyptohesis is stated, then the Null Hypothesis
> is simply its negation. So, in your example, you can infer
>
> H0: true tau equals 0
> Ha: true tau is not equal to
On 16-Aug-09 10:38:40, Liviu Andronic wrote:
> Dear R developers,
> Currently many (all?) test functions in R describe the alternative
> hypothesis, but not the the null hypothesis being tested. For example,
> cor.test:
>> require(boot)
>> data(mtcars)
>> with(mtcars, cor.test(mpg, wt, met="kendall
Dear R developers,
Currently many (all?) test functions in R describe the alternative
hypothesis, but not the the null hypothesis being tested. For example,
cor.test:
> require(boot)
> data(mtcars)
> with(mtcars, cor.test(mpg, wt, met="kendall"))
Kendall's rank correlation tau
data: mpg
