Bar Chart With Error Bars In R
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Bar Chart With Error Bars Stata
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Bar Chart With Error Bars Excel
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error bars Two within-subjects variables Note about normed means Helper functions Problem You want to
Y Error Bars
plot means and error bars for a dataset. Solution
Barplot With Error Bars Ggplot2
To make graphs with ggplot2, the data must be in a data frame, and in error bar in r “long” (as opposed to wide) format. If your data needs to be restructured, see this page for more information. Sample data The examples https://www.r-bloggers.com/building-barplots-with-error-bars/ 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) #> len supp dose #> 1 http://cookbook-r.com/Graphs/Plotting_means_and_error_bars_(ggplot2)/ 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="len", groupvars=c("supp","dose")) tgc a barplot with errorbars Now this is a tricky one: I wrote a script to plot a barplot with errorbars. I used the following error bar script: #barplot where x is the independent on the x-axis, y is the #dependent on the y-axis and z is the independent given by #different colored bars anova.plot<-function(x, y, z, ylab="y", xlab="x", ylim=c(0, max(xx)+max(yy)), with error bars length=0.05){ #height of the bars xx<-tapply(y,list(z,x),mean) #standard deviation yy<-tapply(y,list(z,x),sd) #number of replicates zz<-tapply(y,list(z,x),length) #standard error er<-yy/sqrt(zz) #number of colors for bars w<-length(levels(z)) #simple barplot without the errorbars barx<-barplot(xx, col=c(1:w), beside=T, ylab=ylab, xlab=xlab, ylim=ylim,xpd=FALSE) #box around the plot box() #error bars arrows(barx,xx+er, barx, xx, angle=90, code=1, length=length) #legend (after making the plot, indicate where the legend has #to come with the mouse) legend(locator(1),c(levels(z)),fill=c(1:w),bty="n",cex=0.8) } If you have set your palette to: palette(c("grey25","grey50","grey75","white")) you get a plot like the one above if you use: anova.plot(x,y,z) (6 years ago) archive : rss : theme "2001" by 54mf : powered by Tumblr 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 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; it only takes a minute: Sign up Side by Side R Barplot with error bars up vote 0 down vote favorite say I have the means of two datasets that I want to plot as barplots with error bars next to each other in ggplot2, or base Each dataset consists of a matrix of numbers 10 20 12 10 20 12 10 20 12 which is then transformed into a mean vector of for example 3 elements 10 20 12 What I want to do is to take both mean vectors and plot them as a bar plot where the first element of one is besides the first element of the other Dataset1Element1Bar-Dataset2Element1Bar Dataset1Element2Bar-Dataset2Element2Bar etc Give each bar an error bar, say of standard deviation. I know I can calculate it through sd but I'm not sure how to stick it into the graph in the proper form And lastly color them by their element number (ie Element 1) I have the code to do one dataset but I'm not sure where to go from there. result<-barplot(bardata, main="Mean Coverage", names.arg=namePosTargetGroup, ylab="mean Magnitude", cex.names=.4,col=c("red","blue","green")) legend(10,legend=c("Group1","Group2","Group3"),fill = c("red","blue","green")) A lot of what I look up gives the answer for one thing or another but its difficult to figure out how to combine them together. r graph plot ggplot2 share|improve this question asked May 1 '15 at 21:33 A D 328 add a comment| 1 Answer 1 active oldest votes up vote 1 down vote I would generally not recommend plotting just a bar chart with error bars. There are many other ways to plot your data, which reveal the data and its structure a lot better. Especially if you just have very few cases, plotting means with bars is not good. A good explana