Any R output is an object you can manipulate basically using
exctractions functions $, [ and [[
To look at the content of the object, try:
> str(model)
And (in this case)
> str(summary(model))
Then you can extract what you need, such as:
> summary(model)$adj.r.squared
[1] 0.02158191 (an other model...)
1.419101 1.000000 18.000000 > summary(model)$fstatistic
value numdf dendf
1.419101 1.000000 18.000000 > summary(model)$fstatistic[["value"]]
[1] 1.419101
HTH,
Eric
Eric Lecoutre
UCL / Institut de Statistique
Voie du Roman Pays, 20
1348 Louvain-la-Neuve
Belgium
tel: (+32)(0)10473050
lecoutre at stat.ucl.ac.be
http://www.stat.ucl.ac.be/ISpersonnel/lecoutre
If the statistics are boring, then you've got the wrong numbers. -Edward
Tufte
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Smit,
> R. (Robin) (IenT)
> Sent: lundi 4 avril 2005 10:36
> To: r-help at stat.math.ethz.ch
> Subject: [R] Object item extraction
>
>
> Hello
>
> I am able to extract partial regression coefficients from a
> fitted model object "model", i.e.
>
> model <- lm(var.sel.gkm, weights = count.gkm, data = DATA)
>
> summary(model)
>
> write.table(model$coef, file = "C:/coef_CO_gkm.txt",
> row.names = TRUE, col.names = TRUE)
>
> I was wondering if anyone could advise me how to extract
> other object items such as std. error, t-values and adjusted
> R2 in the same way.
>
> Many thanks.
> Robin Smit
>
>
>
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