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An R-package for distribution-based outlier detection
Hi Mark,
I Iike the "extremevalues" package, it is very cool!
I have several questions:
Because the "limit" on y axis in the output value is from the rho, right? could you let me know the formula of rho to calculate the limit as cutoff to determine the outliers? Could you please give me suggestion how to set the cutoff of the rho?
Thank you and look forward to your reply,
Peng
having problems installing this package on a unix machine without X11 and only command line access. Is there away to disable the graphing functions for installation? Having problems with the gWidgetstcltk?
Hello I have a question.
when I use extremevalues package, it show me "NaN create" message.
How to solve this?
sample code
y <- rlnorm(100)
y <- c(0.1min(y),y,10max(y))
K <- getOutliers(y,method="I",distribution="lognormal")
L <- getOutliers(y,method="II",distribution="lognormal")
par(mfrow=c(1,2))
outlierPlot(y,K,mode="qq")
outlierPlot(y,L,mode="residual")
I reference above code and then use my data. (change y value to my data(numeric))
But it is not work properly.
error code sample >>> ex) outlierPlot(y,K,mode="qq")
Error in while (par$residuals[i - 1] > par$limit[2] & i > tail(iLambda, :
missing value where TRUE/FALSE needed
In addition: Warning message:
In qlnorm(p, par$mu, par$sigma) : NaN was created.
Mark,
together with the CRAN team we are currently discussing strategies for better checking of CITATION
files. In a CRAN screening, the extremevalues
package stood out due to its frequent use of citFooter()
in its CITATION file.
I think it would be better to set up a CITATION
with two bibentry()
objects as shown below. Or is there a particular reason why the second citation is in the footer only?
I'm happy to turn this into a PR if you would prefer that.
Thanks for your consideration & best wishes,
Achim
if(!exists("meta") || is.null(meta)) meta <- packageDescription("extremevalues")
year <- sub("-.*", "", meta$Date)
note <- sprintf("R package version %s", meta$Version)
bibentry(bibtype = "Manual",
title = "extremevalues: Univariate Outlier Detection",
author = person(given = "Mark", family = "van der Loo"),
year = year,
note = note,
url = "https://CRAN.R-project.org/package=extremevalues",
header = "To cite extremevalues in publications use:"
)
bibentry(bibtype = "TechReport",
title = "Distribution Based Outlier Detection for Univariate Data",
author = person(given = "Mark", family = "van der Loo"),
institution = "Statistics Netherlands",
number = "10003",
address = "The Hague",
url = "https://www.cbs.nl/",
year = "2010",
header = "To cite the underlying theory, please use:"
)
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