Add Error Bars To Barplot In R
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t-test in R Exercises Welcome to the Tidyverse A Fun Gastronomical Dataset: What's on the Menu? One year of R / Notes Other sites Jobs for R-users SAS blogs Building Barplots with Error Bars August 17, 2015By Chris Wetherill (This article was first published on DataScience+, and kindly contributed to R-bloggers) Bar charts are a pretty common way to represent data visually, but constructing them isn't always the most intuitive thing in the world. One way that we can construct these graphs is using R's default packages. Barplots using base R Let's start by viewing our dataframe: here we will be finding the mean miles per gallon by number of cylinders and number of gears. View(mtcars) We begin by aggregating our data by cylinders and gears and specify that we want to return the mean, standard deviation, and number of observations for each group: myData <- aggregate(mtcars$mpg, by = list(cyl = mtcars$cyl, gears = mtcars$gear), FUN = function(x) c(mean = mean(x), sd = sd(x), n = length(x))) After this, we'll need to do a little manipulation since the previous function returned matrices instead of vectors myData <- do.call(data.frame, myData) And now let's compute the standard error for each group. We can then rename the columns just for ease of use. myData$se <- myData$x.sd / sqrt(myData$x.n) colnames(myData) <- c("cyl", "gears", "mean", "sd", "n", "se") myData$names <- c(paste(myData$cyl, "cyl /", myData$gears, " g
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just like you, helping each other. Join them; it only takes a minute: Sign up Adding error bars to a bar plot in R using calculated standard errors up vote 2 down vote favorite I created the https://www.r-bloggers.com/building-barplots-with-error-bars/ barplot using two columns from a text file which also has a third column for standard errors. I used barplot() for this. How do I add error bars using my column, se, from my text file? I tried using error.bar() but that didn't work. r bar-chart share|improve this question edited Sep 1 '13 at 17:39 sgibb 16.1k12749 asked Sep 1 '13 at 17:36 user2714330 45127 2 Welcome on SO! Please read How to make http://stackoverflow.com/questions/18561066/adding-error-bars-to-a-bar-plot-in-r-using-calculated-standard-errors a great R reproducible example?. –sgibb Sep 1 '13 at 17:39 add a comment| 1 Answer 1 active oldest votes up vote 1 down vote accepted You are asking for "dynamite plots": http://emdbolker.wikidot.com/blog:dynamite and http://biostat.mc.vanderbilt.edu/wiki/Main/DynamitePlots share|improve this answer answered Sep 1 '13 at 17:50 42- 165k8145275 Thanks for your help DWin! –user2714330 Sep 1 '13 at 18:28 Thanks for the checkmark, but this answer is arguably a link-only answer and probably should have been deleted. –42- Nov 14 '14 at 19:31 add a comment| Your Answer draft saved draft discarded Sign up or log in Sign up using Google Sign up using Facebook Sign up using Email and Password Post as a guest Name Email Post as a guest Name Email discard By posting your answer, you agree to the privacy policy and terms of service. Not the answer you're looking for? Browse other questions tagged r bar-chart or ask your own question. asked 3 years ago viewed 3008 times active 3 years ago Linked 1522 How to make a great R reproducible example? Related 0R bar plot with hour breaks from datetime0Separate Condition based coloring of different columns in bar-plot in R1How do I add error bars in this bar plot?1how to make barplot bars same size in plot window in R using barplot f
a bar plot is one of those things. The segments() command lets you draw line segments, provided you specify the coordinates of the beginning and end http://strata.uga.edu/6370/rtips/barPlotErrorbars.html of the segments. Since an error bar is just a line segment, the http://blog.revolutionanalytics.com/2009/09/making-barplots-with-error-bars-in-r.html x coordinates for the start and the end are the center of the top of the bar, and the y coordinates are the top of the bar plus or minus the length of the error bar. I assumed that the centers of the bars would be integers, that is, if you had three bars, that error bar their centers would be at 1, 2, and 3. That is not true - the centers of the bars are not integers, which makes finding their locations trickier. You could use the locator() function to find the centers of the bars, but clicking on points can be imprecise. It is also impractical when there are many bars. The easy solution to finding the bar centers is in the barplot with error barplot() command itself: in addition to plotting the graph, the function also returns a vector of the centers of each bar. Here is how it all works. First, I will use the mean lengths of three small mammals, with the standard errors of those lengths. names <- c("squirrel", "rabbit", "chipmunk") means <- c(23, 28, 19) standardErrors <- c(1.2, 1.7, 0.9) Because the top of the plot is scaled to the tallest bar, the error bars will get clipped if I add them. To prevent this, I calculate the top of the highest bar; here, the error bars I am using are plus or minus two standard errors. plotTop <- max(means+standardErrors*2) First, I will plot the graph, with the bars filled with gray, with y-axis labels rotated (las=1), and with the limits on the y-axis expanded so they will include the error bars. I assign the barplot() command to barCenters, because the command returns a vector of the centers of the bars. barCenters <- barplot(means, names.arg=names, col="gray", las=1, ylim=c(0,plotTop)) Finally, I add the error bars using segments(), where the x coordinates for the beginning and end of each bar are saved in barCenters. The y coordinate of the bottom of each bar i
11, 2009 Making barplots with error bars in R When presenting summarized data -- the data in the cells of a two-way ANOVA, for example -- it's always a good idea to visualize the uncertainty in the summaries. The natural way for statisticians is to use a boxplot, and ggplot2 makes that easy: qplot(class, hwy, fill=factor(year), data=mpg, geom="boxplot", position="dodge")+theme_bw() But Jarrett Byrnes, a marine community biologist, wanted to use a barplot, instead. (A boxplot shows more details of the distribution, but more people know how to read a barplot.) As he shows, it is possible, with a little extra work, add error bars to a barplot with ggplot2: See the link below for the code: a great demonstration of the customization capabilities of ggplot2. i’m a chordata! urochordata!: Let’s All Go Down to the Barplot! (Update Jan 2 2013: link to http://www.imachordata.com/?p=199 removed -- site compromised) Posted by David Smith at 07:11 in graphics, R | Permalink Comments You can follow this conversation by subscribing to the comment feed for this post. The comments to this entry are closed. Information About this blog Comments Policy About Categories About the Authors R Community Calendar Local R User Group Directory Search Revolutions Blog Got comments or suggestions for the blog editor? Email David Smith. Follow David on Twitter: @revodavid +David Smith Get this blog via email with Categories academia advanced tips announcements applications beginner tips big data courses current events data science developer tips events finance government graphics high-performance computing life sciences Microsoft open source other industry packages popularity predictive analytics profiles python R R is Hot random reviews Revolution Rmedia roundups sports statistics user groups See More R links Find R packagesCRAN package directory at MRAN Download Microsoft R OpenFree, high-performance R R Project siteInformation about the R project Recommended Sites FlowingDataModern data visualization One R Tip A DayCode examples for graphics and analysis Probability and statistics blogMonte Carlo simulations in R R BloggersDaily news and tutorials about R, contributed by R bloggers worldwide. R Project group on analyticbridge.comCommunity and discussion forum Statistical Modeling, Causal Inference, and Social ScienceAndrew Gelman's statistics blog Archives September 2016 August 2016 Ju