Dotplot With Error Bars In R
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Scatter Plot With Error Bars In R
Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community barplot with error bars r of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Scatter plot with error bars up vote 21 down vote favorite 11 How can I generate
Ggplot2 Error Bars
the following plot in R? Points, shown in the plot are the averages, and their ranges correspond to minimal and maximal values. I have data in two files (below is an example). x y 1 0.8773 1 0.8722 1 0.8816 1 0.8834 1 0.8759 1 0.8890 1 0.8727 2 0.9047 2 0.9062 2 0.8998 2 0.9044 2 0.8960 .. ... r plot share|improve this question edited Oct 23 '12 at 15:10 Roland summaryse r 73.2k463102 asked Oct 23 '12 at 14:29 sherlock85 1521313 Since you clearly don't want a boxplot, I changed the title of your question in order to reflect what you really want. –Roland Oct 23 '12 at 15:11 1 also plotrix::plotCI, gplots::plotCI, library("sos"); findFn("{error bar}") –Ben Bolker Oct 23 '12 at 17:29 add a comment| 5 Answers 5 active oldest votes up vote 51 down vote accepted First of all: it is very unfortunate and surprising that R cannot draw error bars "out of the box". Here is my favourite workaround, the advantage is that you do not need any extra packages. The trick is to draw arrows (!) but with little horizontal bars instead of arrowheads (!!!). This not-so-straightforward idea comes from the R Wiki Tips and is reproduced here as a worked-out example. Let's assume you have a vector of "average values" avg and another vector of "standard deviations" sdev, they are of the same length n. Let's make the abscissa just the number of these "measurements", so x <- 1:n. Using these, here come the plotting commands: plot(x, avg, ylim=range(c(avg-sdev, avg+sdev)), pch=19, xlab="Measurements", ylab="Mean +/- SD", main="Scatter plot with std.dev error bars" ) # hack: we draw arrows but with very special "arrowheads" arrows(x, avg-sdev, x, av
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Ggplot Confidence Interval
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Action (2nd ed) significantly expands upon this http://www.statmethods.net/graphs/dot.html material. Use promo code ria38 for a 38% discount. Top Menu Home The R Interface Data Input Data Management Basic Statistics Advanced Statistics Basic Graphs Advanced Graphs Blog Dot Plots Create dotplots with the dotchart(x, labels=) function, where x is a numeric vector and labels is error bars a vector of labels for each point. You can add a groups= option to designate a factor specifying how the elements of x are grouped. If so, the option gcolor= controls the color of the groups label. cex controls the size of the labels. # Simple with error bars Dotplot
dotchart(mtcars$mpg,labels=row.names(mtcars),cex=.7,
main="Gas Milage for Car Models",
xlab="Miles Per Gallon") click to view # Dotplot: Grouped Sorted and Colored
# Sort by mpg, group and color by cylinder
x <- mtcars[order(mtcars$mpg),] # sort by mpg
x$cyl <- factor(x$cyl) # it must be a factor
x$color[x$cyl==4] <- "red"
x$color[x$cyl==6] <- "blue"
x$color[x$cyl==8] <- "darkgreen"
dotchart(x$mpg,labels=row.names(x),cex=.7,groups= x$cyl,
main="Gas Milage for Car Models\ngrouped by cylinder",
xlab="Miles Per Gallon", gcolor="black", color=x$color) click to view Going Further Advanced dotplots can be created with the dotplot2( ) function in the Hmisc package and with the panel.dotplot( ) function in the lattice package. For many good ideas, see William Jacoby's articles on dotplots. Copyright © 2014 Robert I. Kabacoff, Ph.D. | SitemapDesigned by WebTemplateOcean.com