Displaying 7 results from an estimated 7 matches for "mildest".
2019 Feb 21
2
model.matrix.default() silently ignores bad contrasts.arg
....matrix(~period, contrasts.arg=contr.sum, data=cbpp)
> all.equal(mf1,mf3) ## TRUE
> mf4 <- model.matrix(~period, contrasts.arg=list(period=contr.sum),
> data=cbpp)
> isTRUE(all.equal(mf1,mf4)) ## FALSE
>
>
> I've attached a potential patch for this, which is IMO the mildest
> possible case (if contrasts.arg is non-NULL and not a list, it produces
> a warning). I haven't been able to test it because of some mysterious
> issues I'm having with re-making R properly ...
>
> Thoughts? Should I submit this as a bug report/patch?
>
> cheers...
2019 Feb 22
2
model.matrix.default() silently ignores bad contrasts.arg
...## TRUE
>> > mf4 <- model.matrix(~period, contrasts.arg=list(period=contr.sum),
>> > data=cbpp)
>> > isTRUE(all.equal(mf1,mf4)) ## FALSE
>> >
>> >
>> > I've attached a potential patch for this, which is IMO the mildest
>> > possible case (if contrasts.arg is non-NULL and not a list, it produces
>> > a warning). I haven't been able to test it because of some mysterious
>> > issues I'm having with re-making R properly ...
>> >
>> > Thoughts?...
2019 Feb 23
1
model.matrix.default() silently ignores bad contrasts.arg
...od,
>> contrasts.arg=list(period=contr.sum), >> > data=cbpp) >>
>> > isTRUE(all.equal(mf1,mf4)) ## FALSE
>> >> >
>> >> >
>> >> > I've attached a potential patch for this, which is
>> IMO the mildest >> > possible case (if contrasts.arg is
>> non-NULL and not a list, it produces >> > a warning). I
>> haven't been able to test it because of some mysterious
>> >> > issues I'm having with re-making R properly ...
>> >&g...
2019 Feb 21
0
model.matrix.default() silently ignores bad contrasts.arg
...l(mf1,mf2) ## TRUE
mf3 <- model.matrix(~period, contrasts.arg=contr.sum, data=cbpp)
all.equal(mf1,mf3) ## TRUE
mf4 <- model.matrix(~period, contrasts.arg=list(period=contr.sum),
data=cbpp)
isTRUE(all.equal(mf1,mf4)) ## FALSE
I've attached a potential patch for this, which is IMO the mildest
possible case (if contrasts.arg is non-NULL and not a list, it produces
a warning). I haven't been able to test it because of some mysterious
issues I'm having with re-making R properly ...
Thoughts? Should I submit this as a bug report/patch?
cheers
Ben Bolker
--------------...
2019 Feb 21
0
model.matrix.default() silently ignores bad contrasts.arg
...ntr.sum, data=cbpp)
> > all.equal(mf1,mf3) ## TRUE
> > mf4 <- model.matrix(~period, contrasts.arg=list(period=contr.sum),
> > data=cbpp)
> > isTRUE(all.equal(mf1,mf4)) ## FALSE
> >
> >
> > I've attached a potential patch for this, which is IMO the mildest
> > possible case (if contrasts.arg is non-NULL and not a list, it produces
> > a warning). I haven't been able to test it because of some mysterious
> > issues I'm having with re-making R properly ...
> >
> > Thoughts? Should I submit this as a bug report/p...
2019 Feb 22
0
model.matrix.default() silently ignores bad contrasts.arg
...t; mf4 <- model.matrix(~period, contrasts.arg=list(period=contr.sum),
> >> > data=cbpp)
> >> > isTRUE(all.equal(mf1,mf4)) ## FALSE
> >> >
> >> >
> >> > I've attached a potential patch for this, which is IMO the mildest
> >> > possible case (if contrasts.arg is non-NULL and not a list, it produces
> >> > a warning). I haven't been able to test it because of some mysterious
> >> > issues I'm having with re-making R properly ...
> >> >
>...
2008 Aug 09
2
how to interpret t.test output
# Hi all:
#I got a vector with fish lengths(mm)
# Can someone help me interpret the output of
# a t.test in plain english?
# Based on the t.test below I can say that
# I reject the null hypothesis because
# the p-value is smaller than the the significance
# level(alpha=0.05). What else can I conclude here?
Ho = 36 mm
Ha <> 36 mm
fishlength