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Re: st: uniform distribution
From
Fernando Rios Avila <[email protected]>
To
[email protected]
Subject
Re: st: uniform distribution
Date
Fri, 8 Nov 2013 15:58:14 -0500
What about standardizing the variable toward an index from 0 to 1.
say:
sum mpg
gen mpg_s=(mpg-r(min))/(r(max)-r(min))
Transform it into a normal
gen n_mpg_s=invnormal(mpg_s)
and then make a normality test of this variable
sktest n_mpg_s
HTH
Fernando
On Fri, Nov 8, 2013 at 3:53 PM, Nick Cox <[email protected]> wrote:
> -egen, count()- on a variable just puts a constant in a variable,
> namely the sum of non-missing values, which is useless for your
> purpose.
>
> The best test of uniformity is graphical: -quantile- by accident if
> not design yields the appropriate graph. Otherwise think of
> chi-square, Kolmogorov-Smirnov, etc.
>
> For "STATA" read "Stata".
>
> Nick
> [email protected]
>
>
> On 8 November 2013 18:09, PAPANIKOLAOU P. <[email protected]> wrote:
>
>> I am a fairly new user to STATA. I have got to check whether each of
>> these two variables (column 2: MS_COHO; column 3: UK_MS) follow the
>> uniform distribution.
>> For each for them, I used the following code, properly adjusted:
>>
>> egen n = count (mpg) // use MS_COHO and UK_MS each time ... drop n i
>> surprisingly, the results were identical in both attempts, though the
>> script was applied to two different variables.
>> MONTH MS_COHO UK_MS
>> Apri 396 62986 |
>> Aug 330 67503 |
>> Dec 342 65218 |
>> Feb 348 59491.83 |
>> Jan 379 65502.33 |
>> Jul 377 68214.5 |
>> Jun 368 65511.33 |
>> Mar 419 65112.17 |
>> May 423 66152.34 |
>> Nov 328 65107.67 |
>> Oct 347 68344.16 |
>> Sep 356 67597.34
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