Black Lives Matter. Please consider donating to Black Girls Code today.

Error Bars in R

How to add error bars to plots in R.


New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Bar Chart with Error Bars

library(plotly)
library(plyr)

data_mean <- ddply(ToothGrowth, c("supp", "dose"), summarise, length = mean(len))
data_sd <- ddply(ToothGrowth, c("supp", "dose"), summarise, length = sd(len))
data <- data.frame(data_mean, data_sd$length)
data <- rename(data, c("data_sd.length" = "sd"))
data$dose <- as.factor(data$dose)

fig <- plot_ly(data = data[which(data$supp == 'OJ'),], x = ~dose, y = ~length, type = 'bar', name = 'OJ',
        error_y = ~list(array = sd,
                        color = '#000000'))
fig <- fig %>% add_trace(data = data[which(data$supp == 'VC'),], name = 'VC')

fig

Scatterplot with Error Bars

library(plotly)
library(plyr)

data_mean <- ddply(ToothGrowth, c("supp", "dose"), summarise, length = mean(len))
data_sd <- ddply(ToothGrowth, c("supp", "dose"), summarise, length = sd(len))
data <- data.frame(data_mean, data_sd$length)
data <- rename(data, c("data_sd.length" = "sd"))
data$dose <- as.factor(data$dose)

fig <- plot_ly(data = data[which(data$supp == 'OJ'),], x = ~dose, y = ~length, type = 'scatter', mode = 'markers',
        name = 'OJ',
        error_y = ~list(array = sd,
                        color = '#000000'))
fig <- fig %>% add_trace(data = data[which(data$supp == 'VC'),], name = 'VC')

fig

Line Graph with Error Bars

library(plotly)
library(plyr)

data_mean <- ddply(ToothGrowth, c("supp", "dose"), summarise, length = mean(len))
data_sd <- ddply(ToothGrowth, c("supp", "dose"), summarise, length = sd(len))
data <- data.frame(data_mean, data_sd$length)
data <- rename(data, c("data_sd.length" = "sd"))
data$dose <- as.factor(data$dose)

fig <- plot_ly(data = data[which(data$supp == 'OJ'),], x = ~dose, y = ~length, type = 'scatter', mode = 'lines+markers',
        name = 'OJ',
        error_y = ~list(array = sd,
                        color = '#000000'))
fig <- fig %>% add_trace(data = data[which(data$supp == 'VC'),], name = 'VC')

fig

Reference

See https://plotly.com/r/reference for more information and chart attribute options!

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)