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Ggplot2 Barplot With Error Bars

error bars Two within-subjects variables Note about normed means Helper functions Problem

R Calculate Standard Error

You want to plot means and error bars for ggplot2 stat_summary a dataset. Solution To make graphs with ggplot2, the data must be in summaryse a data frame, and in “long” (as opposed to wide) format. If your data needs to be restructured, see this page for more

Geom_errorbar Linetype

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 convert it to a factor. tg <- ToothGrowth head(tg)

Ggplot Confidence Interval

class="w"> #> 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 library(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

tutorials cover different topics including statistics, data manipulation and visualization! Introduction Getting Data Data Management Visualizing Data Basic Statistics Regression Models Advanced Modeling Programming Best R Packages Tips error bars in r & Tricks Visualizing Data Building Barplots with Error Bars by Chris Wetherill on

Barplot With Error Bars R

August 17, 2015 3 Comments Bar charts are a pretty common way to represent data visually, but constructing them geom_errorbar horizontal 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 http://cookbook-r.com/Graphs/Plotting_means_and_error_bars_(ggplot2)/ 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$gear), FUN = function(x) c(mean = mean(x), sd = sd(x), n = http://datascienceplus.com/building-barplots-with-error-bars/ length(x))) After this, we'll need to do a little manipulation since the previous function returned matrices instead of vectors myData <- do.call(data.frame, myData) And now let's compute the standard error for each group. We can then rename the columns just for ease of use. myData$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$gears, " gear")) Now we're in good shape to start constructing our plot! Here, we'll start by widening the plot margins just a tad so that nothing runs off the edge of the figure (using the par() function). It's also a good habit to specify the upper bounds of your plot since the error bars are going to extend past the height of your bars. Beyond this, it's just any additional aesthetic styling that you want to tweak and you're good to go! The error bars are added in at the end using the segments() and arrows() functions. In this case, we are extending the error bars to ±2 standard errors about the mean. par(mar = c(5, 6, 4, 5) + 0.1) plotTop <- max(myData$mean) + myData[myData$mean == max(myData$mean), 6] * 3 barCenters <- barplot(height = myData$mean,

here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the http://stackoverflow.com/questions/19079064/placement-of-error-bars-in-barplot-using-ggplot2 workings and policies of this site About Us Learn more about Stack http://stats.stackexchange.com/questions/14147/calculating-standard-error-and-attaching-an-error-bar-on-ggplot2-bar-chart Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; error bars it only takes a minute: Sign up Placement of error bars in barplot using ggplot2 up vote 6 down vote favorite 1 Hi i am using ggplot version 0.9.3.2 in RStudio and I am trying to make a bar plot with error bars. The problem is that the error bars are positioned wrong. I need them to go on barplot with error top of the individual bars. I have a data frame like this concentration variable value sd 1 0 AF_B 0.3567126 0.010391001 2 0.5x AF_B 0.3355766 0.003480245 3 1x AF_B 0.3001138 0.009104821 4 5x AF_B 0.2658911 0.016312390 5 10x AF_B 0.2115522 0.011056590 6 100x AF_B 0.2655958 0.015092367 7 0 D_B 0.3567126 0.010391001 8 0.5x D_B 0.3453078 0.011639252 9 1x D_B 0.3380180 0.004357810 10 5x D_B 0.3349004 0.018119644 11 10x D_B 0.3186451 0.014515436 12 100x D_B 0.3174700 0.016685932 I have the following code dodge = position_dodge(width=0.9) c = ggplot(data=dm, aes(y=value,x=concentration)) c + geom_bar(position = dodge, stat="identity", aes(fill=variable,colour=variable,group=variable, colour="black")) + geom_errorbar(aes(ymin=value-sd,ymax=value+sd), position=dodge, width=0.1, size=0.3) + ylab("mu_max [h-1]") + scale_x_discrete(limits=c("0","0.5x","1x","5x","10x","100x")) , and gives me this plot, which is clearly http://i.imgur.com/1zwbxMv.png r ggplot2 share|improve this question asked Sep 29 '13 at 14:16 jensjorda 6818 add a comment| 1 Answer 1 active oldest votes up vote 8 down vote accepted You should move the argument fill=variable inside the ggplot() call to ensure that geom_errorbar() also use variable as the dodging variable. ggplot(data=dm,aes(y=value,x=concentration,fill=variable))+ geom_bar(position = position_dodge(), stat="identity") + geom_errorbar(aes(ymin=value-sd,ymax=value+sd), position=dodge,width=0.1,size=0.3)+ ylab("mu_max [h-1]") + scale_x_discrete(limit

Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Cross Validated Questions Tags Users Badges Unanswered Ask Question _ Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top Calculating standard error and attaching an error bar on ggplot2 bar chart up vote 4 down vote favorite 1 Given a minimal dataset where am looking for the occurrence of a certain motif within a dataset of 500 observations. with_motif represents obervations with the specified motif and without_motif are observations without the motif. with_motif <- 100 without_motif <- 400 dt <- data.frame(with_motif,without_motif) The following code will plot a bar-chart using ggplot2 library, bar_plot <- ggplot(melt(dt),aes(variable,value)) + geom_bar() + scale_x_discrete(name="with or without") + theme_bw() + opts( panel.grid.major = theme_blank(),title = "", plot.title=theme_text(size=14)) bar_plot I would like to compute a standard error at 95% CI and attach a barchart to the plot. ggplot offers geom_errorbar() but I would be glad to know different ways for deriving the standard errors(deviation) so as to calculate the errorbar limits(CI). r ggplot2 barplot share|improve this question edited Aug 11 '11 at 12:15 mbq 17.8k849103 asked Aug 11 '11 at 10:34 eastafri 2481714 +1, but kindly avoid "plot" as an object name! –Ari B. Friedman Aug 11 '11 at 10:36 yep! edited and nice advice! –eastafri Aug 11 '11 at 10:38 1 @Biorelated There's a very good online help for ggplot2, e.g. had.co.nz/ggplot2/geom_errorbar.html. I also provided some example of use of geom_errorbar() in this response. Is this what you're after? –chl♦ Aug 11 '11 at 10:50 1 @Biorelated As can be seen in my response, you'll need to compute SD or SE or 95% CI yourself, and add them to your data frame (or use another one), then call geom_errorbar(). If your question is about how to compute those estimates, then you may consider updating your question and provide more informati

 

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Ggplot Bar Plot Error Bars p needs to be set at the layer level if you are overriding the plot defaults data A layer specific dataset - only needed if you want to override the plot defaults stat The statistical transformation to use on the r calculate standard error data for this layer position The position adjustment to use for overlappling points on p Ggplot Stat summary p this layer other arguments passed on to a href 'layer html' layer a This can include aesthetics whose values you want to set not ggplot confidence interval map See a href 'layer

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Ggplot Error Bars p error bars Two within-subjects variables Note about normed means Helper functions Problem You want to plot means and error bars r calculate standard error for a dataset Solution To make graphs with ggplot the data ggplot stat summary must be in a data frame and in long as opposed to wide format If your p Summaryse p data needs to be restructured see this page for more information Sample data The examples below will the ToothGrowth dataset Note that dose is a numeric column p Error Bars In R p here in some situations it may

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Ggplot Bar Chart Error Bars p needs to be set at the layer level if you are overriding the plot defaults data A layer specific dataset - only needed if you want to override the plot defaults stat The statistical transformation to use on r calculate standard error the data for this layer position The position adjustment to use for overlappling points p Ggplot Stat summary p on this layer other arguments passed on to a href 'layer html' layer a This can include aesthetics whose values you want to set not p Ggplot Confidence Interval p map See a

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Ggplot Bar Graph With Error Bars p error bars Two within-subjects variables Note about normed means Helper functions Problem p R Calculate Standard Error p You want to plot means and error bars for ggplot stat summary a dataset Solution To make graphs with ggplot the data must be in a summaryse data frame and in long as opposed to wide format If your data needs to be restructured see this page for more information p Barplot With Error Bars R p Sample data The examples below will the ToothGrowth dataset Note that dose is a numeric column here in

ggplot2 bar plot error bars

Ggplot Bar Plot Error Bars p needs to be set at the layer level if you are overriding the plot defaults data A layer specific dataset - only needed if you want to r calculate standard error override the plot defaults stat The statistical transformation to use on the p Ggplot Stat summary p data for this layer position The position adjustment to use for overlappling points on this layer other p Summaryse p arguments passed on to a href 'layer html' layer a This can include aesthetics whose values you want to set not map See a href 'layer

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Ggplot Barplot Error Bars p needs to be set at the layer level if you are overriding the plot defaults data A layer specific dataset - only needed if you want to override the plot defaults stat The statistical transformation p R Calculate Standard Error p to use on the data for this layer position The position adjustment to use ggplot stat summary for overlappling points on this layer other arguments passed on to a href 'layer html' layer a This can include aesthetics whose values summaryse you want to set not map See a href 'layer html' layer a

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