Dear R-users! I boxplotted some data. the class of the data is numeric. There are some outliers and I would like to see their names in the graphic. So, instead that the data points of the outliers are plotted as points, I would like to have their names plotted. First of, how can I give my data series (class numeric) names? Second, how could I adjust the boxplot to see the names of the outliers in the graphic instead of the points? cheers -- View this message in context: http://r.789695.n4.nabble.com/Boxplot-graphic-tp4637761.html Sent from the R help mailing list archive at Nabble.com.
Boxplot graphic
5 messages · phillen, John Kane, John Fox +2 more
PLEASE do read the posting guide. You really need to supply some sample data and the code you are using. We can make guesses about what you are doing but it is much easier to actually look at the data and code. Please use dput() ( see ?dput) to supply some sample data. John Kane Kingston ON Canada
-----Original Message----- From: phlentner at gmail.com Sent: Wed, 25 Jul 2012 04:26:30 -0700 (PDT) To: r-help at r-project.org Subject: [R] Boxplot graphic Dear R-users! I boxplotted some data. the class of the data is numeric. There are some outliers and I would like to see their names in the graphic. So, instead that the data points of the outliers are plotted as points, I would like to have their names plotted. First of, how can I give my data series (class numeric) names? Second, how could I adjust the boxplot to see the names of the outliers in the graphic instead of the points? cheers -- View this message in context: http://r.789695.n4.nabble.com/Boxplot-graphic-tp4637761.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ 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.
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Dear phillen, You can use the identify() command following boxplot() to identify outliers, or more simply, the Boxplot() function in the car package, which will do this for you (see the first example in ?Boxplot). I hope this helps, John ------------------------------------------------ John Fox Sen. William McMaster Prof. of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada http://socserv.mcmaster.ca/jfox/ On Wed, 25 Jul 2012 04:26:30 -0700 (PDT)
phillen <phlentner at gmail.com> wrote:
Dear R-users! I boxplotted some data. the class of the data is numeric. There are some outliers and I would like to see their names in the graphic. So, instead that the data points of the outliers are plotted as points, I would like to have their names plotted. First of, how can I give my data series (class numeric) names? Second, how could I adjust the boxplot to see the names of the outliers in the graphic instead of the points? cheers -- View this message in context: http://r.789695.n4.nabble.com/Boxplot-graphic-tp4637761.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ 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.
On 25.07.2012 13:26, phillen wrote:
Dear R-users! I boxplotted some data. the class of the data is numeric. There are some outliers and I would like to see their names in the graphic. So, instead that the data points of the outliers are plotted as points, I would like to have their names plotted. First of, how can I give my data series (class numeric) names?
See ?names
Second, how could I adjust the boxplot to see the names of the outliers in the graphic instead of the points?
See ?boxplot Example: x <- c(1:10, 100) names(x) <- letters[1:11] bp <- boxplot(x) text(1, bp$out, names(x)[bp$out==x], pos=2)
cheers -- View this message in context: http://r.789695.n4.nabble.com/Boxplot-graphic-tp4637761.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ 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.
Probably the simplest answer is to google 'label boxplot outliers in R'. I found half a dozen solutions, (one of them my own, but that doesn't quite answer your question).
Adding names to a series of data can be as simple as saying
names(x) <- paste("x", 1:length(x))
After that, the solutions google finds answer the question.
One tip: If you want to _replace_ points with names, plot the boxplot with pch=NA (eg
bx <- boxplot(x~g, pch=NA)
to get the boxplot without outliers but with space for them, and then use text(bx$group, bx$out, ...) or similar to put the names in. If you want boxplot to return names, though, you will need to use a modified boxplot function. The first answer Google returns is one such.
S Ellison
-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of phillen Sent: 25 July 2012 12:27 To: r-help at r-project.org Subject: [R] Boxplot graphic Dear R-users! I boxplotted some data. the class of the data is numeric. There are some outliers and I would like to see their names in the graphic. So, instead that the data points of the outliers are plotted as points, I would like to have their names plotted. First of, how can I give my data series (class numeric) names? Second, how could I adjust the boxplot to see the names of the outliers in the graphic instead of the points? cheers -- View this message in context: http://r.789695.n4.nabble.com/Boxplot-graphic-tp4637761.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ 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.
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