I'm sorry, no clue how I did not see that. Thank you!
On 12 February 2013 15:21, Uwe Ligges wrote:
>
>
> On 12.02.2013 15:15, Torvon wrote:
>
>> The code is quite long because I am running a WLS regression instead of an
>> OLS regression (due to heteroscedasticity). First, I get mean structure,
On 12.02.2013 15:15, Torvon wrote:
The code is quite long because I am running a WLS regression instead of an
OLS regression (due to heteroscedasticity). First, I get mean structure,
then get mean/SD relationship, then improve the variance structure by using
weights proportional to 1/variance.
The code is quite long because I am running a WLS regression instead of an
OLS regression (due to heteroscedasticity). First, I get mean structure,
then get mean/SD relationship, then improve the variance structure by using
weights proportional to 1/variance.
I am quite sure this is not relevant,
On 12.02.2013 14:44, Torvon wrote:
Thank you, Uwe.
summary(m1) gives me p-value estimates of:
(Intercept) 2e-16
x1 6.9e-15
x2 1.9e-07
x3 2.7e-09
While coef(summary(m1))[,4] gives me:
(Intercept) 3.0e-23
x1 5.7e-13
x2 2.6e-07
x3 1.7e-17
While the first one confirms my suspicion (-23 instead
Torvon gmail.com> writes:
>
> Thank you, Uwe.
>
> summary(m1) gives me p-value estimates of:
> (Intercept) 2e-16
> x1 6.9e-15
> x2 1.9e-07
> x3 2.7e-09
>
> While coef(summary(m1))[,4] gives me:
> (Intercept) 3.0e-23
> x1 5.7e-13
> x2 2.6e-07
> x3 1.7e-17
>
> While the first one confirms my su
Thank you, Uwe.
summary(m1) gives me p-value estimates of:
(Intercept) 2e-16
x1 6.9e-15
x2 1.9e-07
x3 2.7e-09
While coef(summary(m1))[,4] gives me:
(Intercept) 3.0e-23
x1 5.7e-13
x2 2.6e-07
x3 1.7e-17
While the first one confirms my suspicion (-23 instead of -16), the latter
one vary drastically
On 12.02.2013 13:37, Torvon wrote:
I need to report exact p-values in my dissertation. Looking at my lm()
results of many regressions with huge datasets I have the feeling that
p-values are rounded to the smallest value of "2e-16", because this p-value
is very common.
Is that true or just chan
I need to report exact p-values in my dissertation. Looking at my lm()
results of many regressions with huge datasets I have the feeling that
p-values are rounded to the smallest value of "2e-16", because this p-value
is very common.
Is that true or just chance? If it is true, how do I obtain the
8 matches
Mail list logo