How to Save the residuals of an LM object greater or less than a certin value to an R object?
Also, which( abs( stdresiduals ) > 2.5 ) will tell you which of the standardized residuals are bigger than 2.5 in absolute value. It returns a vector of indices, as in
set.seed(1234) x <- rnorm(100) which (abs(x) > 2.5)
[1] 62
x[62]
[1] 2.548991 -pd
On 23 Feb 2018, at 05:56 , Jeff Newmiller <jdnewmil at dcn.davis.CA.us> wrote: Residuals are stored as a numeric vector. The R software comes with a document "Introduction to R" that discusses basic math functions and logical operators that can create logical vectors: abs( stdresiduals ) > 2.5 It also discusses indexing using logical vectors: stdresiduals[ abs( stdresiduals ) > 2.5 ] Note that in most cases it is worth going the extra step of making your example reproducible [1][2][3] because many problems arise from issues in the data or in code that you don't think is broken. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3] https://cran.r-project.org/web/packages/reprex/index.html (read the vignette) -- Sent from my phone. Please excuse my brevity. On February 22, 2018 8:09:49 PM PST, faiz rasool <faiz7r at gmail.com> wrote:
Dear list members, I want to save residuals above or less than a certain value to an R object. I have performed a multiple linear regression, and now I want to find out which cases have a residual of above + 2.5 and ? 2.5. Below I provide the R commands I have used. Reg<-lm(a~b+c+d+e+f) # perform multiple regression with a as the dependent variable. Residuals<-residuals(reg) # store residuals to an R object. stdresiduals<-rstandard(reg) #save the standardized residuals. #now I want to type a command that will save the residuals of certain range to an object. I realize that by plotting the data I can quickly see the residuals outside a certain boundtry, however, I am totally blind, so visually inspecting the plot is not possible for me. Thank you for any help. Regards, Faiz.
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______________________________________________ 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.
Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com