Displaying 5 results from an estimated 5 matches for "response1".
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2012 Sep 16
4
two questions about character manipulation
Dear all,
I want to manipulate a character string such as
ex<-"cbind(data$response1,data$response2)"
in R in two ways:
1) extracting the "response1" portion of ex
2) replacing "$" with "."
I am wondering that is it possible efficiently doing these in R?
Best
Ozgur
--
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2010 Jun 17
2
Plotting confidence intervals of two response on same graph (panel).
Hello!
I would like to draw a graph like the following:
http://www.optics.rochester.edu/workgroups/cml/opt307/spr04/pavel/plot_small.jpg
Aim is to plot confidence intervals of treatments for X(=response1) and
Y(=response2) axis simultaneously to visualize aggreement of confidence
interval for two responses.
Can anyone please provide me some direction to start with?
Thanks!
--
Kim.
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2008 Jul 16
2
Stratified random sample
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2009 Oct 22
5
How to calculate the area under the curve
Hi all,
I would like to calculate the area under the ROC curve for my predictive
model. I have managed to plot points giving me the ROC curve. However, I do
not know how to get the value of the area under.
Does anybody know of a function that would give the result I want using an
array of specificity and an array of sensitivity as input?
Thanks,
Olivier
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2007 Apr 18
0
Specifying ANCOVA models in R
...correct model specification is an ANCOVA design(?)
I can fit this model in MINITAB using, say:
glm response = cluster;
covariate predictor1 predictor2 ... predictor7.
In R, if I specify the model using
cluster<-ordered(clusterlevels=c("Low","High"))
Model<-lm(predictor~response1+response2+ ... response7+cluster)
I can replicate the results from MINITAB, getting identical P and t values
when I do summary(lm(Model)), but the F values are all different (huge) when
I do summary(aov(Model)) for all correlates. The F value for the fixed
effect is correct. The P values for summa...