Geom Error Bar
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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: r calculate standard error * Request new password Home › Service › ggplot2 Quick Ref summaryse › geom ggplot2 Quick Reference: geom_errorbar A geom that draws error bars, defined by an upper and lower
Geom_errorbar Linetype
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
Ggplot Confidence Interval
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 stat_summary 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.
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Geom_errorbar Horizontal
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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 http://sape.inf.usi.ch/quick-reference/ggplot2/geom_errorbar 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 error bar 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 geom error bar 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", 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)Accur