# Bar plot of Group Means with Individual Observations

ggpubr is great for data visualization and very easy to use for non-“R programmer”. It makes easy to simply produce an elegant ggplot2-based graphs. Read more about ggpubr: ggpubr .

Here we demonstrate how to plot easily a barplot of group means +/- standard error with individual observations.

## Example data sets

d <- as.data.frame(mtcars[, c("am", "hp")])
d\$rowname <- rownames(d)
head(d)
##                   am  hp           rowname
## Mazda RX4          1 110         Mazda RX4
## Mazda RX4 Wag      1 110     Mazda RX4 Wag
## Datsun 710         1  93        Datsun 710
## Hornet 4 Drive     0 110    Hornet 4 Drive
## Hornet Sportabout  0 175 Hornet Sportabout
## Valiant            0 105           Valiant

## Install ggpubr

The latest version of ggpubr can be installed as follow:

# Install ggpubr
if(!require(devtools)) install.packages("devtools")
devtools::install_github("kassambara/ggpubr")

## Bar plot of group means with individual informations

• Plot y = “hp” by groups x = “am”
• Add mean +/- standard error and individual points: add = c(“mean_se”, “point”). Allowed values are one or the combination of: “none”, “dotplot”, “jitter”, “boxplot”, “point”, “mean”, “mean_se”, “mean_sd”, “mean_ci”, “mean_range”, “median”, “median_iqr”, “median_mad”, “median_range”.
• Color and fill by groups: color = “am”, fill = “am”
• Add row names as labels.
library(ggpubr)
# Bar plot of group means + points
ggbarplot(d, x = "am", y = "hp",
add = c("mean_se", "point"),
color = "am", fill = "am", alpha = 0.5)+
ggrepel::geom_text_repel(aes(label = rowname))

Enjoyed this article? I’d be very grateful if you’d help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In.

Show me some love with the like buttons below... Thank you and please don't forget to share and comment below!!
Avez vous aimé cet article? Je vous serais très reconnaissant si vous aidiez à sa diffusion en l'envoyant par courriel à un ami ou en le partageant sur Twitter, Facebook ou Linked In.

Montrez-moi un peu d'amour avec les like ci-dessous ... Merci et n'oubliez pas, s'il vous plaît, de partager et de commenter ci-dessous!

This page has been seen 12652 times