Add Error Bars R Plot
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Errbar R
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R Plot Standard Deviation
favorite 10 How can I generate 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 r summaryse this question edited Oct 23 '12 at 15:10 Roland 72.9k462102 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| 4 Answers 4 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
error bars Two within-subjects variables Note about normed means Helper functions Problem You want to plot means and error bars for a dataset. Solution To
R Arrows
make graphs with ggplot2, the data must be in a data frame,
Error Bars In Ggplot2
and in “long” (as opposed to wide) format. If your data needs to be restructured, see this plot mean and standard deviation in r page for more information. Sample data The examples below will the ToothGrowth dataset. Note that dose is a numeric column here; in some situations it may be useful to http://stackoverflow.com/questions/13032777/scatter-plot-with-error-bars convert it to a factor. tg <- ToothGrowth head(tg) #> len supp dose #> 1 4.2 VC 0.5 #> 2 11.5 VC 0.5 #> 3 7.3 VC 0.5 #> 4 5.8 VC 0.5 #> 5 6.4 VC 0.5 #> 6 10.0 VC 0.5 libraryhttp://cookbook-r.com/Graphs/Plotting_means_and_error_bars_(ggplot2)/ class="p">(ggplot2) First, it is necessary to summarize the data. This can be done in a number of ways, as described on this page. In this case, we’ll use the summarySE() function defined on that page, and also at the bottom of this page. (The code for the summarySE function must be entered before it is called here). # summarySE provides the standard deviation, standard error of the mean, and a (default 95%) confidence interval tgc <- summarySE(tg, measurevar="len", groupvars=c("supp","dose")) tgc #> supp dose N len sd se ci #> 1 OJ 0.5 10 13.23 4.459709 1.4102837 3.190283 #> 2 OJ 1.0 10 22.70 3.910953 1.2367520 2.797727 #> 3 OJ 2.0 10 26.06 2.655058 0.8396031 1.899314 #> 4 VC 0.5 10 7.98 2.746634 0.8685620 1.964824 #> 5 VC 1.0 10 16.77 2.515309 0.7954104 1.799343 #> 6 VC 2.0 10 26.14 4.797731 1.5171757 3.4320
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Build charts in a breeze with our online editor. Real-time Support. Get instant chat support from our awesome engineering team. plotly Pricing PLOTCON NYC API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Feed Pricing Make a Chart API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Show Sidebar Hide Sidebar Help API Libraries R Error Bars Fork on Github Navigation Back to R Error Bars in R How to add error bars to scatter plots in R. R matplotlib Python plotly.js Pandas node.js MATLAB Error Bars library(dplyr) library(plotly) p <- ggplot2::mpg %>% group_by(class) %>% summarise(mn = mean(hwy), sd = 1.96 * sd(hwy)) %>% arrange(desc(mn)) %>% plot_ly(x = class,