R help - May 2010 - about chisq.test()

Dear all,

I want to check whether 5 decimal data is 1:1:1:1:1. For example,
data = c(14.3,16.2,14.7,18.7,14.5)
Since chisq.test() can do the goodness-of-fit test, it becomes my 
choice. However, I find in the "?chisq.test" help file that it
requires
"non-negative integers"! It seems that it is inappropriate to do the 
test using this function.

The function requires "integer". But what if we input some decimals as
mentioned above? Actually I did it and it seems goes well.

 > data = c(14.3,16.2,14.7,18.7,14.5)
 > chisq.test(data)
         Chi-squared test for given probabilities
data:  data
X-squared = 0.8704, df = 4, p-value = 0.9288

Is this result reliable?
Thanks!

Dejian

> 
> Is this result reliable?
No. chisq.test is a non parametric goodness-of-fit test for
*counts*. In my opinion you need a one sample t.test.