Difference between revisions of "Boxplot"
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(New page: In descriptive statistics, a '''boxplot''' (also known as a '''box-and-whisker diagram''' or '''plot''') is a convenient way of graphically depicting groups of numerical data through their...) |
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This article will various practical ways of creating boxplots using the [[R programming language]]. | This article will various practical ways of creating boxplots using the [[R programming language]]. | ||
| + | |||
| + | ==Filetypes== | ||
| + | svg(file = "foo.svg", width = 2.5, height = 5, pointsize = 8) | ||
| + | postscript("foo.ps", paper="special", height=6, width=6, horizontal=F) | ||
| + | pdf("foo.pdf", height=6, width=6) | ||
==Example-01== | ==Example-01== | ||
| − | + | data(morley) | |
| − | + | morley$Expt <- factor(morley$Expt) | |
| − | + | morley$Run <- factor(morley$Run) | |
| − | + | attach(morley) | |
| − | + | postscript("Michelsonmorley-boxplot.ps", paper="special", height=6, width=6, | |
| − | + | horizontal=F) | |
| − | + | par(las=1) | |
| − | + | par(mar=c(5.1, 5.1, 2.1, 2.1)) | |
| − | + | par(font=2) | |
| − | + | par(font.axis=2) | |
| − | + | boxplot(Speed ~ Expt, xlab = "Experiment No.", ylab="Speed of light (km/s minus 299,000)") | |
| − | + | abline(h=792.458, lty=3) | |
| − | + | dev.off() | |
*Another way to do the same thing: | *Another way to do the same thing: | ||
| Line 33: | Line 38: | ||
==External links== | ==External links== | ||
*[[wikipedia:boxplot]] | *[[wikipedia:boxplot]] | ||
| + | *[http://commons.wikimedia.org/wiki/Category:Created_with_R Collection of examples] — from Wikimedia Commons. | ||
*[http://informationandvisualization.de/blog/box-plot Boxplot] — on the ''Information & Visualization'' blog | *[http://informationandvisualization.de/blog/box-plot Boxplot] — on the ''Information & Visualization'' blog | ||
[[Category:Bioinformatics]] | [[Category:Bioinformatics]] | ||
[[Category:Graphics software]] | [[Category:Graphics software]] | ||
Latest revision as of 21:39, 18 February 2009
In descriptive statistics, a boxplot (also known as a box-and-whisker diagram or plot) is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation). A boxplot may also indicate which observations, if any, might be considered outliers.
This article will various practical ways of creating boxplots using the R programming language.
Filetypes
svg(file = "foo.svg", width = 2.5, height = 5, pointsize = 8)
postscript("foo.ps", paper="special", height=6, width=6, horizontal=F)
pdf("foo.pdf", height=6, width=6)
Example-01
data(morley)
morley$Expt <- factor(morley$Expt)
morley$Run <- factor(morley$Run)
attach(morley)
postscript("Michelsonmorley-boxplot.ps", paper="special", height=6, width=6,
horizontal=F)
par(las=1)
par(mar=c(5.1, 5.1, 2.1, 2.1))
par(font=2)
par(font.axis=2)
boxplot(Speed ~ Expt, xlab = "Experiment No.", ylab="Speed of light (km/s minus 299,000)")
abline(h=792.458, lty=3)
dev.off()
- Another way to do the same thing:
data(morley)
morley$Expt <- factor(morley$Expt)
pdf("Michelsonmorley-boxplot.pdf", height=6, width=6)
par(las=1, mar=c(5.1, 5.1, 2.1, 2.1))
boxplot(Speed ~ Expt, morley, xlab = "Experiment No.",
ylab="Speed of light (km/s minus 299,000)")
abline(h=792.458, col="red")
text(3,792.458,"true\nspeed")
dev.off()
External links
- wikipedia:boxplot
- Collection of examples — from Wikimedia Commons.
- Boxplot — on the Information & Visualization blog
