geom_errorbar()
Various ways of representing a vertical interval are defined by x, ymin, and ymax. Each case draws a single graphical object. Here geom draws the error bar, which can be defined by the lower and upper values. Remember that you have to provide the value of y_min and y_max ourselves because the error bar geom doesn’t compute the confidence level automatically.
Syntax :
geom_errorbar(mapping = NULL,data = NULL,stat = “identity”,position = “identity”,na.rm = FALSE, orientation = NA,show.legend = NA,inherit.aes = TRUE)
Example :
R
library ( "ggplot2" ) df <- ToothGrowth # Transform dose and len column into factor df$dose <- as.factor (df$dose) df$len <- as.factor (df$len) p<- ggplot (df, aes (dose,len)) p + geom_line ( aes (group = len/2))+ geom_errorbar ( aes (ymin =len , ymax = dose),width=0.3) |
Output :
Error Bars using ggplot2 in R
Error bars are bars that show the mean score. The error bars stick out from the bar like a whisker. The error bars show how precise the measurement is. It shows how much variation is expected by how much value we got. Error bars can be plated both horizontally and vertically. The horizontal error bar plot shows error bars for group differences as well as bars for groups.
The error bar displays the precision of the mean in one of 3 ways:
- The confidence interval
- The standard error of the mean
- Standard Deviation