Displaying 5 results from an estimated 5 matches for "carcinogens".
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carcinogen
2005 Feb 10
1
rats in survival package
Dear R-listers,
Does anybody know what is the correct source of "rats" dataset in survival package?
The help gives the following information:
Rat data from survival5
Description:
48 rats were injected with a carcinogen, and then randomized to
either drug or placebo. The number of tumors ranges from 0 to 13;
all rats were censored at 6 months after randomization.
2009 Jun 15
1
multcomp: contrasts for count data
Hi,
I would like to derive p-values for pair-wise comparison (Tukey's) of
effects when the response is a count.
I am trying a test case where y ~ Po( lambda(x) ). x has three
levels : A, B and C with lambda(x) = 10, 20 and 20 respectively.
Hence, p-values for the contrast C - B should distribute uniformally.
I have implemented this test case as below but do not get uniform
2012 May 23
0
Research Assistant/Staff Scientist: Technology in Environmental Health (Boston, MA)
...y in Environmental
Health (Silent Spring Institute; Boston, MA)
Silent Spring Institute is a non-profit scientific research group studying
the environment and health. We are a multi-disciplinary team and
international leader in research on everyday exposures to
hormone disruptors, tests for breast carcinogens, and environmental links
to breast cancer. We lead collaborative research teams that include
top computer scientists, statisticians, and other scientists at
Brown, Harvard, UC Berkeley, and elsewhere. We seek a research assistant
or staff scientist with experience in computer science, data analysi...
2003 Nov 12
3
(no subject)
Hi all,
I am looking for a clever way to create the following graph using R:
I got information on the shares of some subgroups over time (summing up to 1 in each year). The graph I want to create should display the development of the individual shares over time by shading rectangulars for each share in a different color.
Is there a clever of doing this?
Thanks for your help
Stefan
2009 Jun 15
0
books on Time serie
A time series text with a title that seems designed to hide its
wide scope is:
Forecasting with Exponential Smoothing
The State Space Approach
Hyndman, R.J., Koehler, A.B., Ord, J.K., Snyder, R.D.
Springer 2009.
This book is actually an excellent overview of time series theory,
ARIMA as well as state space. It is of course, in part, a manual
for the forecast and other packages in what has been