geom_pointrange()
Here geom draws the error bar, which can be defined by the lower and upper values. The point range function is quite similar to the error bar and line range. In the point range function, you have to provide the value of y_min and y_max ourselves because the pointrange geom doesn’t compute confidence level automatically. In geom_pointrange there are some parameters that are by default present (size, line range, color, fill, width). The pointrange function is useful to draw confidence intervals.
Syntax :
geom_linerange(mapping = NULL,data = NULL,stat = “identity”,position = “identity”,fatten = 4,na.rm = FALSE orientation = NA,show.legend = NA,inherit.aes = TRUE)
Example :
R
# import libraries library ( "ggplot2" ) # import data 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 ()+ stat_summary (func.y= mean, geom= "bar" ,fill= "white" ,color= "black" ) + geom_pointrange ( aes (ymin =len , ymax = dose) ) |
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