The abline function can be used to draw the
regression line when one passes the lm object
as an argument.
However, if it's an intercept-only model,
it appears to use the intercept
as the slope of the abline:
mod <- lm(dist ~ 1, data = cars)
plot(dist ~ speed, data = cars)
abline(reg = mod) # noth
Many thanks for pointing that out.
Tom
On Sat, 09 Dec 2006 13:48:06 -, Peter Dalgaard
<[EMAIL PROTECTED]> wrote:
> Tom McCallum wrote:
>> Hi,
>>
>> I am not sure if this is just me using R (R-2.3.1 and R-2.4.0) in the
>> wrong way or if there is a more serious bug. I was having proble
On 12/9/2006 8:29 AM, Tom McCallum wrote:
> Hi,
>
> I am not sure if this is just me using R (R-2.3.1 and R-2.4.0) in the
> wrong way or if there is a more serious bug. I was having problems
> getting some calculations to add up so I ran the following tests:
You should read the FAQ item "Why
Tom McCallum wrote:
> Hi,
>
> I am not sure if this is just me using R (R-2.3.1 and R-2.4.0) in the
> wrong way or if there is a more serious bug. I was having problems
> getting some calculations to add up so I ran the following tests:
>
>
Please read FAQ 7.31 and the reference therein.
Simon Urbanek wrote:
>
> On Dec 8, 2006, at 9:51 AM, Erik van Zijst wrote:
>
>> 2. R's native C-api
>> [http://cran.r-project.org/doc/manuals/R-exts.html#The-R-API] does not
>> separate parsing from evaluation.
N.B. above I mistakenly referred to chapter "The R API", but instead I
was referrin
Hi,
I am not sure if this is just me using R (R-2.3.1 and R-2.4.0) in the
wrong way or if there is a more serious bug. I was having problems
getting some calculations to add up so I ran the following tests:
> (2.34567 - 2.0) == 0.34567 <--- should be true
[1] FALSE
> (2.23-2.00) == 0
