Re: [R] Finding data association in R

2009-05-19 Thread phen_ys



Johannes Hüsing wrote:
 
 
 Am 19.05.2009 um 05:39 schrieb phen_ys:
 

 surgery - data.frame(outcome = c(0, 0, 0, 0, 0, 0, 0, 0, 0,
 + 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0,
 + 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0), age = c(50, 50, 51,
 + 51, 53, 54, 54, 54, 55, 55, 56, 56, 56, 57, 57, 57, 57, 58,
 + 59, 60, 61, 61, 61, 62, 62, 62, 62, 63, 63, 63, 64, 64, 65,
 + 67, 67, 68, 68, 69, 70, 71))

 How to use R to find association of the death rate and age with the 
 above
 data?

 
 with(surgery, boxplot(age ~ outcome))
 
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I try to fit this into the model use lm function, but it doesn't make much
sense. The question i'm trying to answer is whether death rate is associated
with age. E.g the death rate is higher when the age is older.

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[R] Grouping using pairs function

2009-05-18 Thread phen_ys

 bodies - data.frame(chest = c(34, 37, 38, 36, 38, 43, 40, 38,
+ 40, 41, 36, 36, 34, 33, 36, 37, 34, 36, 38, 35), waist = c(30,
+ 32, 30, 33, 29, 32, 33, 30, 30, 32, 24, 25, 24, 22, 26, 26,
+ 25, 26, 28, 23), hips = c(32, 37, 36, 39, 33, 38, 42, 40,
+ 37, 39, 35, 37, 37, 34, 38, 37, 38, 37, 40, 35))

How to group these data using more than one grouping method using pairs
function?
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[R] Finding data association in R

2009-05-18 Thread phen_ys

 surgery - data.frame(outcome = c(0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0,
+ 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0), age = c(50, 50, 51,
+ 51, 53, 54, 54, 54, 55, 55, 56, 56, 56, 57, 57, 57, 57, 58,
+ 59, 60, 61, 61, 61, 62, 62, 62, 62, 63, 63, 63, 64, 64, 65,
+ 67, 67, 68, 68, 69, 70, 71))

How to use R to find association of the death rate and age with the above
data?
-- 
View this message in context: 
http://www.nabble.com/Finding-data-association-in-R-tp23609249p23609249.html
Sent from the R help mailing list archive at Nabble.com.

__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.