[R] accessing confidence interval values from the 'predict' function

[Adams, Jean]

Avril,

The more direct way to access these columns from the matrix is:

ci[, "lwr"]
ci[, "upr"]

Jean

On Mon, Aug 10, 2015 at 3:20 AM, alc <alc at sanger.ac.uk> wrote:

>
>
> Dear all,
>
> I'm wondering how can I access the confidence interval values ('upr' and
> 'lwr' values) produced by the 'predict' function. For example, I fitted
> a linear regression line using:
>
>  fit <- lm(y ~ x)
>
> I then wanted to calculate a 95% confidence interval for the line, and
> did this using:
>
>  ci <- predict(fit, data.frame(x), interval="confidence")
>
> I see that the 'ci' object has 'upr' and 'lwr' variables stored in it,
> but am not sure how to access them properly.
>
> I find I can do it using:
>
>  upper <- as.data.frame(ci)$upr
>  lower <- as.data.frame(ci)$lwr
>
> However, I'm wondering is there a more 'proper' way to do it in R? I
> find that things like ci$upr don't seem to work, but am not sure what's
> the right way?
>
> Kind Regards,
>
> Avril
>
>
>
>
> --
>  The Wellcome Trust Sanger Institute is operated by Genome Research
>  Limited, a charity registered in England with number 1021457 and a
>  company registered in England with number 2742969, whose registered
>  office is 215 Euston Road, London, NW1 2BE.
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

	[[alternative HTML version deleted]]