Dear Kim
See inline
On 19/03/2019 22:29, Kim Jacobsen wrote:
Mailing list now included (apologies, first time I post anything so not
quite sure how it works).
You are quite right, it was a typo. I meant to write that
plot.xmean.ordinaly(). So please let me correct my last statement: the
plot.x
Please study the documentation to which you were referred. This list is not
appropriate for comprehensive tutorials, which is what you need, although
all help is of course in some sense a tutorial.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking thi
Mailing list now included (apologies, first time I post anything so not
quite sure how it works).
You are quite right, it was a typo. I meant to write that
plot.xmean.ordinaly(). So please let me correct my last statement: the
plot.xmean.ordinaly() command and plot() command are interchangeable as
No. Do not call plot.xmean.ordinaly() if the argument is not of class
xmean.ordinaly, because that function assumes that it is such an object.
That is one reason why it is better to call plot() than to be more specific.
On March 19, 2019 3:29:11 PM PDT, Kim Jacobsen wrote:
>Mailing list now inc
Please keep the mailing list included in the thread.
I can't tell if you do understand and are just being sloppy, or if you are
completely confused, because xmean.ordinaly() and plot.xmean.ordinaly() are two
completely different symbols in R.
As for being "safe"... you may choose to be specific
Read up on S3 object orientation[1]. If you have an object x of class
"xmean.ordinaly" then writing
plot(x)
will end up invoking the plot.xmean.ordinaly function rather than the
plot.default function in base graphics. This is broadly true throughout R.
[1] http://adv-r.had.co.nz/S3.html
On Ma
Would anyone be able to explain what the difference is between
plot.xmean.ordinaly and plot() in the "rms" package? (for the purposes of
testing the proportional odds assumption in ordinal models). In the package
document (https://cran.r-project.org/web/packages/rms/rms.pdf) they seem
both to be us
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