R Line Plot Error Bars
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error bars Two within-subjects variables Note about normed means Helper functions Problem You scatter plot with error bars in r want to plot means and error bars for a
Error.bar Function R
dataset. Solution To make graphs with ggplot2, the data must be in a data
Errbar R
frame, and in “long” (as opposed to wide) format. If your data needs to be restructured, see this page for more information. Sample
Error Bars In R Barplot
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) #> len r summaryse 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="len", groupvars=c 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 ggplot error bars ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the plot mean and standard deviation in r Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: r arrows Sign up Add error bars to show standard deviation on a plot in R up vote 23 down vote favorite 10 For each X-value I calculated the average Y-value and the standard deviation (sd) of each Y-value x = 1:5 y http://cookbook-r.com/Graphs/Plotting_means_and_error_bars_(ggplot2)/ = c(1.1, 1.5, 2.9, 3.8, 5.2) sd = c(0.1, 0.3, 0.2, 0.2, 0.4) plot (x, y) How can I use the standard deviation to add error bars to each datapoint of my plot? r plot statistics standard-deviation share|improve this question edited Oct 16 '14 at 3:43 Craig Finch 11417 asked Feb 25 '13 at 8:59 John Garreth 4572413 also see plotrix::plotCI –Ben Bolker Feb 25 '13 at 15:13 add a comment| 5 Answers 5 active oldest votes up vote 16 http://stackoverflow.com/questions/15063287/add-error-bars-to-show-standard-deviation-on-a-plot-in-r down vote accepted A Problem with csgillespie solution appears, when You have an logarithmic X axis. The you will have a different length of the small bars on the right an the left side (the epsilon follows the x-values). You should better use the errbar function from the Hmisc package: d = data.frame( x = c(1:5) , y = c(1.1, 1.5, 2.9, 3.8, 5.2) , sd = c(0.2, 0.3, 0.2, 0.0, 0.4) ) ##install.packages("Hmisc", dependencies=T) library("Hmisc") # add error bars (without adjusting yrange) plot(d$x, d$y, type="n") with ( data = d , expr = errbar(x, y, y+sd, y-sd, add=T, pch=1, cap=.1) ) # new plot (adjusts Yrange automatically) with ( data = d , expr = errbar(x, y, y+sd, y-sd, add=F, pch=1, cap=.015, log="x") ) share|improve this answer answered Sep 6 '13 at 14:21 R_User 3,20984683 add a comment| up vote 19 down vote A solution with ggplot2 : qplot(x,y)+geom_errorbar(aes(x=x, ymin=y-sd, ymax=y+sd), width=0.25) share|improve this answer answered Feb 25 '13 at 9:06 juba 24.3k56081 add a comment| up vote 18 down vote You can use segments to add the bars in base graphics. Here epsilon controls the line across the top and bottom of the line. plot (x, y, ylim=c(0, 6)) epsilon = 0.02 for(i in 1:5) { up = y[i] + sd[i] low = y[i] - sd[i] segments(x[i],low , x[i], up) segments(x[i]-epsilon, up , x[i]+epsilon, up) segments(x[i]-epsilon, low , x[i]+epsilon, low) } As @thelatemail points out, I should really have used vectorised function calls: segmen Search All Support Resources Support Documentation MathWorks Search MathWorks.com MathWorks Documentation Support Documentation Toggle navigation Trial Software Product Updates Documentation Home MATLAB Examples Functions https://www.mathworks.com/help/matlab/ref/errorbar.html Release Notes PDF Documentation Graphics 2-D and 3-D Plots Line Plots http://docs.ggplot2.org/0.9.3.1/geom_errorbar.html MATLAB Functions errorbar On this page Syntax Description Examples Plot Vertical Error Bars of Equal Length Plot Vertical Error Bars that Vary in Length Plot Horizontal Error Bars Plot Vertical and Horizontal Error Bars Plot Error Bars with No Line Control Error Bars Lengths in All error bars Directions Add Colored Markers to Each Data Point Control Error Bar Cap Size Modify Error Bars After Creation Input Arguments y x err neg pos yneg ypos xneg xpos ornt linespec ax Name-Value Pair Arguments 'CapSize' 'LineWidth' See Also This is machine translation Translated by Mouse over text to see original. Click the button below to return to plot error bars the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation. Translate errorbarLine plot with error barscollapse all in page Syntaxerrorbar(y,err)errorbar(x,y,err) exampleerrorbar(x,y,neg,pos)errorbar(___,ornt) exampleerrorbar(x,y,yneg,ypos,xneg,xpos) exampleerrorbar(___,linespec) exampleerrorbar(___,Name,Value) exampleerrorbar(ax,___)e = errorbar(___) exampleDescription errorbar( 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 data for this layer. position The position adjustment to use for overlappling points on this layer ... other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details. Description Error bars. Aesthetics geom_errorbar understands the following aesthetics (required aesthetics are in bold): x ymax ymin alpha colour linetype size width Examples # Create a simple example dataset df # Because the bars and errorbars have different widths # we need to specify how wide the objects we are dodging are dodge Mapping a variable to y and also using stat="bin". With stat="bin", it will attempt to set the y value to the count of cases in each group. This can result in unexpected behavior and will not be allowed in a future version of ggplot2. If you want y to represent counts of cases, use stat="bin" and don't map a variable to y. If you want y to represent values in the data, use stat="identity". See ?geom_bar for examples. (Deprecated; last used in version 0.9.2) p Mapping a variable to y and also using stat="bin". With stat="bin", it will attempt to set the y value to the count of cases in each group. This can result in unexpected behavior and will not be allowed in a future version of ggplot2. If you want y to represent counts of cases, use stat="bin" and don't map a variable to y. If you want y to represent values in the data, use stat="identity". See ?geom_bar for examples. (Deprecated; last used in version 0.9.2) p + geom_bar(position=dodge) + geom_errorbar(limits, position=dodge, width=0.25) Mapping a variable to y and also using stat="bin". With stat="bin", it will attempt to set the y value to the count of cases in each group. This can result in unexpected behavior and will not be allowed in a future version of ggplot2. If you want y to represent counts of cases, use stat="bin" and don't map a variable to y. If you want y to represent values in the data, use stat="identity". See ?geom_bar for examples. (Deprecated; last used in version 0.9.2) p p + geom_pointrange(limits) p + geom_crossbar(limits, width=0.2) # If we want to draw lines, we need to manually sey
,err) creates a line plot of the data in y and draws a vertical error bar at each data point. The values in err determine the lengths of each error bar above and below the data points, so the total error bar lengths are double the err values. exampleerrorbar(x
,y,err)