If you're using \caption{} in latex, put a \\ where you want to
wrap.
It may be because the graphic you're placing is itself wider
than your text width. Remember that R graphics by default have
a half-inch margin of white-space all around. You can reduce
this with par(mai = ...) in the plot command.
----- Original Message -----
From: "Stanislav Markus" <smarkus(a)fas.harvard.edu>
To: "'Olivia Lau'" <olau(a)fas.harvard.edu>
Sent: Tuesday, May 13, 2003 1:53 AM
Subject: RE: [gov2001-l] text wrapping in latex tables
LATEX, not R ;)
****************************
Stanislav Markus
Ph.D. Candidate
Harvard University
Department of Government
e: smarkus(a)fas.harvard.edu
t: 617.513.5407
-----Original Message-----
From: Olivia Lau [mailto:olau@fas.harvard.edu]
Sent: Tuesday, May 13, 2003 1:53 AM
To: Stanislav Markus
Subject: Re: [gov2001-l] text wrapping in latex tables
If you're producing the title using plot(... main = " title ")
then you just put a \n where you want the break in your title.
----- Original Message -----
From: "Stanislav Markus" <smarkus(a)fas.harvard.edu>
To: <gov2001-l(a)fas.harvard.edu>
Sent: Tuesday, May 13, 2003 12:54 AM
Subject: [gov2001-l] text wrapping in latex tables
for some reason my text (e.g. long title) in
tables is not
automatically
wrapped but extends beyond the margins.. how do i
fix it?
thanks!
****************************
Stanislav Markus
Ph.D. Candidate
Harvard University
Department of Government
e: smarkus(a)fas.harvard.edu
t: 617.513.5407
-----Original Message-----
From: gov2001-l-admin(a)fas.harvard.edu
[mailto:gov2001-l-admin@fas.harvard.edu] On Behalf Of Ryan
Thomas Moore
Sent: Tuesday, May 13, 2003 12:49 AM
To: gov2001-l(a)fas.harvard.edu
Cc: Gary King; Kosuke Imai
Subject: [gov2001-l] ROC "models"
I think I understand what ROC curves indicate for binary
choice models:
>
> whether, for many values of C, one model always, sometimes,
never
predicts 0/1's correctly.
Now, can ROC curves compare an imputed dataset to a
non-imputed one?
The
idea would be this: for the same model, more information
allows you to
better predict the 0/1's than less
information. Does this
make sense?
Is
it trivial?
Thanks,
Ryan
--
------------------------------------------
Ryan T. Moore ~ Government & Social Policy
Ph.D. Candidate ~ Harvard University
_______________________________________________
gov2001-l mailing list
gov2001-l(a)fas.harvard.edu
http://www.fas.harvard.edu/mailman/listinfo/gov2001-l
_______________________________________________
gov2001-l mailing list
gov2001-l(a)fas.harvard.edu
http://www.fas.harvard.edu/mailman/listinfo/gov2001-l