Displaying 9 results from an estimated 9 matches for "redbeard".
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greybeard
2005 Nov 01
1
R Graphs in Powerpoint
...(like the shareware application Graphic Converter), but I've found that Preview produces the best results.
Daniel Smith
Environmental Health Investigations Branch
California Dept of Health Services
-----Original Message-----
Date: Mon, 31 Oct 2005 15:14:06 -0800
From: Jarrett Byrnes <redbeard at arrr.net>
Subject: [R] R Graphs in Powerpoint
To: r-help at stat.math.ethz.ch
Message-ID: <1021e23a2ea288a066f22699f827cf73 at arrr.net>
Content-Type: text/plain; charset=US-ASCII; format=flowed
Hey, all. Quick question. I'm attempting to use some of the great
graphs generated i...
2005 Nov 08
2
Simple Nesting question/Odd error message
I'm attempting to analyze some survey data comparing multiple docks. I
surveyed all of the slips within each dock, but as slips are nested
within docks, getting multiple samples per slip, and don't really
represent any meaningful gradient, slip is a random effect. There are
also an unequal number of slips at each dock.
I'm having syntactical issues, however. When I try
2005 Nov 08
2
A Quick and (Very) Dirty Intro to Stats in R
Greetings to all,
First off, I want to thank you all for answering any nagging questions
I've had over the past few days. I've been in the process of putting
together A Quick and (Very) Dirty Intro to Doing Your Statistics in R
(which I have posted to http://didemnid.ucdavis.edu/rtutorial.html ) in
order to teach an R workshop for the graduate students in my
department. This is a
2005 Nov 15
1
Repeates Measures MANOVA for Time*Treatment Interactions
Dear R folk,
First off I want to thank those of you who responded with comments for
my R quick and dirty stats tutorial. They've been quite helpful, and
I'm in the process of revising them. When it comes to repeated
measures MANOVA, I'm in a bit of a bind, however. I'm beginning to see
that all of the documentation is written for psychologists, who have a
slightly
2007 Dec 10
8
could not find activerecord-sqlserver-adapter locally or in a repository
I''m trying to connect to a SQL Server db. I thought I installed the
DBI component per the instructions, but its not working.
When trying to start the ruby server, I get the message:
Please install the sqlserver adapter: `gem install activerecord-
sqlserver-adapter`
But when I try to install the repository, I get this error message:
could not find activerecord-sqlserver-adapter
2005 Nov 08
1
Type II and III sums of squares with Error in AOV
I've recently run into the problem of using aov with nested factors,
and wanting to get the type II and III sums of squares. Normally Anova
from the car package would do fine, but it doesn't like having an Error
included, so
my.aov <-aov(Response ~ Treatment + Error(Treatment:Replicate))
Anova(my.aov, type="II")
yields
Error in Anova(nested.anova) : no applicable method
2009 May 03
1
fImport data from Australian stock exchange
Dear all,
I have been importing data into R from yahoo using yahooSeries, however the
older version I was using no longer works with the syntax I have developed.
I downloaded the latest package and it downloads data from the U.S. just
fine, but the ticker codes for the Australian stock exchange (asx) do not
get downloaded.
a simple example, this works (US stock):
stock<-yahooSeries(symbols =
2005 Oct 25
1
Ryan's Q Post-Hoc for ANOVA
I'm using lm to run an ANOVA, and would like to use Ryan's Q as my
post-hoc (as recommended by Day and Quinn, 1989, Ecological
Monographs). I can't seem to find any methods in the base stats
package that implement this post-hoc. Is there a good package of
post-hoc methods out there, or has someone written a method for Ryan's
Q previously?
Thanks!
-Jarrett
2005 Nov 04
1
Plotting Factorial GLMs
Hello all,
I'm attempting to plot the functions from a generalized linear model
while iterating over multiple levels of a factor in the model. In
other words, I have a data set
Block, Treatment.Level, Response.Level
So, the glm and code to plot should be
logit.reg<-glm(formula = Response.Level ~ Treatment.Level + Block,
family=quasibinomial(link="logit")))
plot(