I hope this question is sufficiently different from the other requests
for book recommendations that it's not repetitious. If not, I apologize
in advance.
I'm curious what standard reference books working statisticians, or
biostatisticians, have within easy reach of their desk. I'm a computer
In Henric's recent post, he included this output:
@BOOK{R:Harrell:2001,
AUTHOR = {Frank E. Harrell},
TITLE = {Regression Modeling Strategies, with Applications to
Linear Models, Survival Analysis and Logistic
Regression},
PUBLISHER = {Springer},
YEAR =
There must be a better way to select the rows after 22-Apr-2004 and
before 01-Sep-2004 with a temperature below 65 than this:
before2sw1 - subset(energy.data, as.Date(start, format=%d-%b-%y)
as.Date(01-Sep-04, format = %d-%b-%y))
before2sw2 - subset(before2sw1, as.Date(start, format=%d-%b-%y)
Sorry, dumb typo. Should be 18-Dec-2005. -Kevin
From: Richard M. Heiberger [mailto:[EMAIL PROTECTED]
Sent: Fri 10/20/2006 5:43 PM
To: Zembower, Kevin
Subject: Re: [R] Dataset on Baltimore home energy costs
Thanks for the data. Can you clarify the date here
I received a private request for my complete dataset from my previous
questions. In gratitude to the developers of R, and especially to the
helpful members of r-help, I'm happy to attach it. Anyone is free to use
this dataset in any manner they wish, including published books.
Attribution is not
I've been working with R for all of about 8 hours, so anyone with more
experience than this should be able to help me. General comments about
my methods of work are also welcomed.
I have a table that I've imported thusly:
w - read.table(woodford.data, header=T)
w
start thermsgas KWHs
I'm trying to learn statistics and R at the same time. I have an
undergraduate science degree and one year of calculus (30 years ago),
but never took a stats course. I hope to take some stats courses in the
next year, but thought I would start to see how much I could teach
myself.
I work for an
