R Help Barplot With Error Bars
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Error.bar Function R
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Error Bar In R
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a barplot with errorbars Now this is a scatter plot with error bars in r tricky one: I wrote a script to plot a barplot with errorbars. I used the following https://www.r-bloggers.com/bar-plot-with-error-bars-in-r/ 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)), http://rstatistics.tumblr.com/post/470327991/make-a-barplot-with-errorbars-now-this-is-a 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
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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 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