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extraction of roots in R
3 messages · Gary Dong, Don McKenzie
If you just want the nth root of X, use X^(1/n) > x <- 256 > x^(1/8) [1] 2 > x <- -256 > x^(1/8) [1] NaN It appears that you get the positive real root. Is this all you wanted?
On 1-Nov-13, at 11:11 AM, Gary Dong wrote:
Dear R users, I wonder if R has a default function that I can use to do extraction of roots. Here is an example: X N 2.5 5 3.4 7 8.9 9 6.4 1 2.1 0 1.1 2 I want to calculate Y = root(X)^N, where N represents the power. what is the easy way to do this? Thank you! Gary [[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list 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.
Don McKenzie Pacific Wildland Fire Sciences Lab US Forest Service Affiliate Professor School of Environmental and Forest Sciences University of Washington dmck at uw.edu
If you want complex roots, there is a post by Ravi Varadhan from 2010, a reprint of which I found quickly by a google search at http://r.789695.n4.nabble.com/finding-complex-roots-in-R-td2541514.html
On 1-Nov-13, at 11:20 AM, Don McKenzie wrote:
If you just want the nth root of X, use X^(1/n)
x <- 256 x^(1/8)
[1] 2
x <- -256 x^(1/8)
[1] NaN It appears that you get the positive real root. Is this all you wanted? On 1-Nov-13, at 11:11 AM, Gary Dong wrote:
Dear R users, I wonder if R has a default function that I can use to do extraction of roots. Here is an example: X N 2.5 5 3.4 7 8.9 9 6.4 1 2.1 0 1.1 2 I want to calculate Y = root(X)^N, where N represents the power. what is the easy way to do this? Thank you! Gary [[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list 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.
Don McKenzie Pacific Wildland Fire Sciences Lab US Forest Service Affiliate Professor School of Environmental and Forest Sciences University of Washington dmck at uw.edu
______________________________________________ R-help at r-project.org mailing list 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.
Don McKenzie Pacific Wildland Fire Sciences Lab US Forest Service Affiliate Professor School of Environmental and Forest Sciences University of Washington dmck at uw.edu