G' day Myung,
> "MGK" == mgkim <[EMAIL PROTECTED]> writes:
MGK> For the data c1 of size 14, stem provides the following result.
MGK> **
>> c1
MGK> [1] 14 39 70 11 38 20 37 15 41 74 74 34 48 51
ZZangi> stem(c1)
Full_Name: Myung Geun Kim
Version: 2.4.0
OS: Window XP
Submission from: (NULL) (210.110.8.105)
For the data c1 of size 14, stem provides the following result.
**
>c1
[1] 14 39 70 11 38 20 37 15 41 74 74 34 48 51
ZZangi>stem(c1)
The
it doesn't appear to be a bug for me, given that one of your
coefficients is NA due to linear dependencies on your design matrix.
i prefer to think of it as a feature :-) (show only the coefficients
for the variables that do not show linear dependencies).
x=1:5
y=c(1:3, 7, 6)
fit=lm(y~x)
coef
tmp <- data.frame(x=c(1,1),
y=c(1,2))
tmp.lm <- lm(y ~ x, data=tmp)
summary(tmp.lm)
coef(summary(tmp.lm))
## I consider this to be a bug. Since summary(tmp.lm) gives
## two rows for the coefficients, I believe the coef() function
## should also give two rows.
> summary(tmp.
invert= would be consistent with the fact that egrep (-v), sed/vi (v) and
awk (~!) all have special facilities as indicated to handle such
negation/inversion.
On 11/12/06, Romain Francois <[EMAIL PROTECTED]> wrote:
> Duncan Murdoch wrote:
> > On 11/10/2006 12:52 PM, Romain Francois wrote:
> >> Du
Duncan Murdoch wrote:
> On 11/10/2006 12:52 PM, Romain Francois wrote:
>> Duncan Murdoch wrote:
>>> On 11/9/2006 5:14 AM, Romain Francois wrote:
Hello,
What about an `invert` argument in grep, to return elements that
are *not* matching a regular expression :
R> grep("
