As you know from the syllabus, there is a paper for this class. If you take
2001, then you do not need to do a paper for this class. Instead, whatever
grade you get in 2001 for the paper will count for 1000. If you plan on doing
the paper for this class, please think about what you would like to write on
and make an appointment to talk with me.
Some people have expressed an interest in moving the due date for the final
later in January. The original date was selected to provide a big gap between
the due date for the paper and the due date for the final. Since few people are
doing the paper for GOV 1000, we could move the due date for the final later.
If you care (one way or the other), please let me know via private e-mail. We
will probably go with class consensus on the issue.
Dave
--
David Kane
Lecturer In Government
617-563-0122
dkane(a)latte.harvard.edu
Question on a4/a5:
Just as a clarification. For the true/theoretical cdf value for min(a) or xi,
you do not want us to do:
pnorm(-Inf) = 0
right? That's the theoretical value for the theoretical min(a), but you want
us to find the theoretical value for the min(a) we have? Is that right?
Thanks,
Phillip.
-------------------------------------------------
Phillip Y. Lipscy
Perkins Hall Room #129
35 Oxford Street
Cambridge, MA 02138
(617)493-4893
lipscy(a)fas.harvard.edu
Ph.D. Candidate
Harvard University, FAS, Department of Government
-------------------------------------------------
How do I plot two graphs on top of each other? I looked at the Intro to R
and it said to use add = TRUE, but R said that it couldn't do that for a
high level plotting function. (Both are scatterplots, btw, if that
helps.)
Thankx,
Olivia.
Dear all,
Can variance be negative? My inituitive response is "no", but I'm getting negative values...so is it me (i.e., bad math!) or is it possible?
Thanks,
Olivia
Hi, for reference on how to create equations, could someone please send
out the tex file for Problem Set 6? (I'm interested in how you got
unitalizcized text into a \frac statement!)
Thanks,
Olivia.
hey,
for 2c/2d; does anybody remember how to use permutations/combinations/factorials
to directly calculate this sort of thing? I can get the answer by staring at my
tables, but I think I recall from high school math that there was a more cool
way to do it. or maybe not... anyway...
Thanks-
-Phillip.
-------------------------------------------------
Phillip Y. Lipscy
Perkins Hall Room #129
35 Oxford Street
Cambridge, MA 02138
(617)493-4893
lipscy(a)fas.harvard.edu
Ph.D. Candidate
Harvard University, FAS, Department of Government
-------------------------------------------------
Dear all,
I'm having trouble with getting the historgram to give me 25 bins. I'm using
"break", but setting it to 25 or less seems to return too few and setting it to
26 or more seems to return too many. Any suggestions?
Thanks,
Phillip.
> temp <- hist(a,breaks =25)
> temp$counts
[1] 6 20 35 95 156 180 195 137 103 40 21 8 2 1 1
> temp <- hist(a,breaks =26)
> temp$counts
[1] 2 2 8 6 8 9 19 16 43 43 57 63 83 59 74 77 70 72 55 58 51 38 22 18 14
[26] 11 6 11 1 0 1 0 1 1 0 1
>
-------------------------------------------------
Phillip Y. Lipscy
Perkins Hall Room #129
35 Oxford Street
Cambridge, MA 02138
(617)493-4893
lipscy(a)fas.harvard.edu
Ph.D. Candidate
Harvard University, FAS, Department of Government
-------------------------------------------------
On Thu, 7 Nov 2002, Tao Li wrote:
[...]
> i discussed the regression coefficient intepretation for the standard case
> of continuous varible. but the incumbency paper is discrete variable. i
> could not answer this question well. could any of you send an email to the
> class list to explain more upon it? thanks.
>
> Tao Li
> --------------
> www.people.fas.harvard.edu/~li7
Hi everyone, when interpreting coefficients of regression equations,
whether x is discrete or continuous, you can use a sentence like this:
when x1 goes up by 1 unit, y goes up by b on average (or the estimate of
E(Y|X) goes up by b exactly), holding constant the other explanatory
variables, and given the veracity of the model assumptions.
Whether x is continuous or discrete doesn't really matter. It is still
going up by 1 unit. The key for you, however, is to make sure that one
unit makes sense. so in the incumbency advantage example, a 1 unit
increase means either -1 to 0 or 0 to 1, and nothing else. it also means
that the effect is the same for either change -- an assumption you're
making when running the model. a good thing to do would be to check
whether the assumption is right. How would you do that?
Gary
: Gary King, King(a)Harvard.Edu http://GKing.Harvard.Edu :
: Center for Basic Research Direct (617) 495-2027 :
: in the Social Sciences Assistant (617) 495-9271 :
: 34 Kirkland Street, Rm. 2 HU-MIT DC (617) 495-4734 :
: Harvard U, Cambridge, MA 02138 eFax (928) 832-7022 :
correct. as i said in class, there are 2 sections from 7-9. one for each
hour, obviously. i am going to discuss major problems in hw5, review
Gary's probability lecture(answer questions) and HAND OUT hw6. thanks.
On Thu, 7 Nov 2002 dhopkins(a)fas.harvard.edu wrote:
> Hey Tao,
>
> I just wanted to make sure I'm correct that we have section tonight from 7-8 PM
> or 8-9PM in M-16.
>
> Many thanks!
>
> Best,
> Dan
>
>
Dear Friends,
Dave suggested that I pass along some of his advice from a conversation we had
on Monday related to the readings for the class. Of the Netter assignment, he
highlighted the final three sections of chapter five as the most essential--
there, it is worth understanding exactly what Netter et. al. are doing and
why.
At the same time, while he said that some of the material in Chps. 6-11 won't
be directly tested or utilized in Gov1000, it is all material that political
scientists should be familiar with, since it is all material we might see in
practice. Dave recommends spending an hour per chapter: that should be
sufficient time to become familiar with the subjects, but not to follow every
line of every proof.
Best,
Dan
