Hello,
Perhaps the easiest way is with ?capture.output:
dat <- read.table(text = capture.output(print(mycenfit)),
stringsAsFactors = FALSE)
str(dat)
'data.frame': 3 obs. of 5 variables:
$ n : int 3 3 3
$ n.cen : int 1 1 2
$ median: int 2 2 NA
$ mean : num 2.33 2.33 2
$ sd : num 0.667 0.667 NaN
Hope this helps,
Rui Barradas
Em 10-04-2014 17:40, Massimo Bressan escreveu:> given this reproducible example:
>
> #start code
>
> df<-structure(list(lq = c(TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE,
> FALSE, FALSE), value = c(1, 3, 1, 2, 0.5, 2, 1, 2, 3), group >
structure(c(1L, 1L, 2L, 2L, 3L, 3L, 3L, 1L, 2L), .Label = c("A",
"B",
> "C"), class = "factor")), .Names = c("lq",
"value", "group"), row.names
> = c(NA, -9L), class = "data.frame")
>
> library(NADA)
>
> mycenfit<-with(df, cenfit(value,lq,group))
>
> print(mycenfit)
>
> #end code
>
> does anybody knows how to convert the print() of the cenfit object (S4)
> "mycenfit" to a data frame?
>
> sorry, this might be a trivial question but for some reasons I do not
> understand I got completely stuck on this...
> I've seen similar questions pointed out in the mailing list but for a
> "surfit" object which do not seem to properly apply in my
specific case
>
> any help much appreciated, thank you
>
>
>
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>
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