Ggplot2 Bar Graph With Error Bars
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needs to be set at the layer level if you are overriding the plot defaults. data A layer specific dataset - only needed r calculate standard error if you want to override the plot defaults. stat The statistical ggplot2 stat_summary transformation to use on the data for this layer. position The position adjustment to use for overlappling
Summaryse
points on this layer ... other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer
Barplot With Error Bars R
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 error bars in r 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. (Deprecat
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Ggplot Confidence Interval
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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 http://stackoverflow.com/questions/15064462/r-ggplot2-barplot-and-error-bar site About Us Learn more about Stack Overflow the company Business Learn more http://sape.inf.usi.ch/quick-reference/ggplot2/geom_errorbar 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 R: ggplot2 error bars barplot and error bar up vote 2 down vote favorite Since the new version of ggplot2 (0.9.3), I've problem to plot barplots with errorbars. So I've a dataframe like this : group N val sd se ci 1 206 3 37.2269533 7.9688645 4.6008261 19.7957568 2 207 3 2.0731505 2.2843009 1.3188417 5.6745180 3 208 3 2.2965978 1.4120606 0.8152536 3.5077531 4 209 3 3.1085132 1.1986664 0.6920504 with error bars 2.9776525 5 210 3 3.3735251 1.9226134 1.1100214 4.7760365 6 211 3 4.0477951 2.9410503 1.6980162 7.3059739 7 212 3 1.2391158 1.2345554 0.7127709 3.0668055 8 213 2 1.3082374 1.1234220 0.7943793 10.0935460 I want to plot for each group the val +- s : I did that before upgrade : ggplot(dfc, aes(x=factor(group), y=factor(val)) + geom_bar(position=position_dodge()) + geom_errorbar(aes(ymin=val-se, ymax=val+se),width=.1,position=position_dodge(.9)) It gives me that: 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) So anyone knows how to resolve that ? Thanks N. r ggplot2 share|improve this question asked Feb 25 '13 at 10:06 NicoBxl 3374515 add a comment| 1 Answer 1 active oldest votes up vote 6 down vote accepted Is this what you're after? my.df <- read.table(text =
geomgeom_abline geom_blank geom_errorbar geom_errorbarh geom_hline geom_jitter geom_linerange geom_point geom_pointrange geom_polygon geom_rect geom_rug geom_segment geom_step geom_text geom_vline position scale stat theme Recent posts User login Username: * Password: * Request new password Home › Service › ggplot2 Quick Ref › geom ggplot2 Quick Reference: geom_errorbar A geom that draws error bars, defined by an upper and lower value. This is useful e.g., to draw confidence intervals. An error bar is similar to a pointrange (minus the point, plus the whisker). It is also similar to a linerange (plus the whiskers). Default statistic: stat_identity Default position adjustment: position_identity Parameters x - (required) x coordinate of the bar ymin - (required) y coordinate of the lower whisker ymax - (required) y coordinate of the upper whisker size - (default: 0.5) thickness of the lines linetype - (default: 1=solid) the type of the lines colour - (default: "black") the color of the lines width - (default: 0.9) width of the whiskers alpha - (default: 1=opaque) the transparency of the lines Example This plot consists of two layers. The bottom layer shows error bars, and the top layer shows points. Note that we have to provide (or compute) the ymin and ymax values for the error bars ourselves (the errorbar geom does not automatically compute a confidence interval). d=data.frame(drink=c("coffee","tea","water"), mean=c(3,6,2), lower=c(2.6,5.6,1.8), upper=c(3.5,6.3,2.8)) ggplot() + geom_errorbar(data=d, mapping=aes(x=drink, ymin=upper, ymax=lower), width=0.2, size=1, color="blue") + geom_point(data=d, mapping=aes(x=drink, y=mean), size=4, shape=21, fill="white") + opts(title="geom_errorbar