Ggplot2 Bar Plot 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 if you want to override r calculate standard error the plot defaults. stat The statistical transformation to use on the data
Ggplot2 Stat_summary
for this layer. position The position adjustment to use for overlappling points on this layer ... other arguments summaryse 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
Error Bars In R
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 barplot with error bars r 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 s
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Ggplot Confidence Interval
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Error.bar Function R
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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: http://sape.inf.usi.ch/quick-reference/ggplot2/geom_errorbar * 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 error bars 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") ggplot2 bar plot 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", plot.title=theme_text(size=40, vjust=1.5)) copyright (c) 2015 - sape research group Publication Highlights OOPSLA'15 - Use at Own Risk PPPJ'13 - Jikes RVM Debugger PLDI'12 - Algorithmic Profiling OOPSLA'11 - Catch Me ECOOP'11 - Beauty and Beast PLDI'10 - Profiler (In)Accuracy ASPLOS'09 - Measurement Bias More... Blast Our framework for bytecode-level information-flow tracing of Java programs. Jikes RDB Working with the Jikes RVM? Use Jikes RDB for debugging your VM hacks. Now built on top of LLDB, so it works on OS X and on Linux.