Displaying 5 results from an estimated 5 matches for "arikan".
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adrian
2011 Mar 27
2
overlaying
...command.
However, I am not sure how to plot the standard deviation data on top of
this. This kind of chart will save me time and space so I want to overlay
standard deviation values. I appreciate your suggestions in terms of how to
do this or using a different type of graph.
Thank you,
--
BÜLENT ARIKAN, PhD
Postdoctoral Scholar
Center for Social Dynamics and Complexity &
School of Human Evolution and Social Change
Arizona State University
Tempe - AZ
85287-2402
[[alternative HTML version deleted]]
2011 Mar 26
3
line graph question
Hi,
I am working on some line charts and although I have a lot of resources, I
cannot seem to find an answer to this question: how can I set the
incrementation of values on the x-axis values so that I can see all the
groups on this axis. Right now, R puts them at increments of 2 (i.e., 2, 4,
6, 8, 10, 12). I need to see all, from 1 to 12.
Thank you!
--
BÜLENT
[[alternative HTML version
2011 Jan 20
2
ANOVA plotting
Dear List,
I recently started using R and I have a simple question. I am running R (v.
2.12.1) and Rcmdr (v.1-6.3) on Mac (Snow Leopard).
I am using a data set I used before for practicing ANOVA with R, so I know
what the results should look like. I can get ANOVA table using both Rcmdr
and GUI. However, I cannot make R prepare the ANOVA diagram (with boxplots,
showing the data points, including
2011 Oct 17
1
Best practices for handling very small numbers?
Greetings
I have been experimenting with sampling from posterior distributions using
R. Assume that I have the following observations from a normal distribution,
with an unscaled joint likelihood function:
normsamples = rnorm(1000,8,3)
joint_likelihood = function(observations, mean, sigma){
return((sigma ^ (-1 * length(observations))) * exp(-0.5 * sum(
((observations - mean ) ^ 2)) / (sigma
2012 Aug 30
2
Which BUGS should one use?
Hello ALL!
Some times ago I started to learn and play with Bayesian stuffs. Many
advice use of WinBUGS for Bayesian inference Using Gibbs Sampler.
However, WinBUGS is discontinued, and now, development is under
OpenBUGS. I wasn't lazy, so I installed both and tried out. In more than
90% of cases they give comparable outcome. But in few cases I got
substantial differences. Recently, I read nice