rlearner309 wrote:
I have a simple regression using lm().
model <- lm(dist ~ speed, data = cars)
sModel <- summary(model)
If I just want to check the coefficient, I can use summary(lm())$coef; if I
need the standard error, I can use summary(lm())$s, if I need the residuals,
It is recommend
PS: I forgot to mention that, since the summary() of an lm() object
is created by the function summary.lm(), you can find out the detail
by looking under "Value:" at
?summary.lm
Ted.
On 07-Jul-08 14:28:23, Ted Harding wrote:
> On 07-Jul-08 13:38:12, rlearner309 wrote:
>>
>> I have a simple re
:[EMAIL PROTECTED] Namens Henrique Dallazuanna
Verzonden: maandag 7 juli 2008 16:24
Aan: rlearner309
CC: r-help@r-project.org
Onderwerp: Re: [R] A quick question about lm()
If I understand correctly, try:
names(summary(lm(...)))
On Mon, Jul 7, 2008 at 10:38 AM, rlearner309 <[EMAIL PROTECTED]>
On 07-Jul-08 13:38:12, rlearner309 wrote:
>
> I have a simple regression using lm().
> If I just want to check the coefficient, I can use summary(lm())$coef;
> if I need the standard error, I can use summary(lm())$s, if I need
> the residuals, I can use summary(lm())$res. OK. How can I get the
>
If I understand correctly, try:
names(summary(lm(...)))
On Mon, Jul 7, 2008 at 10:38 AM, rlearner309 <[EMAIL PROTECTED]> wrote:
>
> I have a simple regression using lm().
> If I just want to check the coefficient, I can use summary(lm())$coef; if I
> need the standard error, I can use summary(lm(
I have a simple regression using lm().
If I just want to check the coefficient, I can use summary(lm())$coef; if I
need the standard error, I can use summary(lm())$s, if I need the residuals,
I can use summary(lm())$res. OK. How can I get the R-squares and Adjusted
R-squares using $...?
Is there
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