This article describes how to subset data when creating a ggplot.
Related Book
GGPlot2 Essentials for Great Data Visualization in RPrerequisites
Load required packages and set the theme function theme_bw()
as the default theme:
library(ggplot2)
theme_set(theme_bw())
Data preparation
Data derived from ToothGrowth
data sets are used. ToothGrowth describes the effect of Vitamin C on tooth growth in Guinea pigs. Three dose levels of Vitamin C (0.5, 1, and 2 mg) with each of two delivery methods [orange juice (OJ) or ascorbic acid (VC)] are used :
df <- data.frame(
supp = rep(c("VC", "OJ"), each = 3),
dose = rep(c("D0.5", "D1", "D2"), 2),
len = c(6.8, 15, 33, 4.2, 10, 29.5)
)
head(df)
## supp dose len
## 1 VC D0.5 6.8
## 2 VC D1 15.0
## 3 VC D2 33.0
## 4 OJ D0.5 4.2
## 5 OJ D1 10.0
## 6 OJ D2 29.5
- len : Tooth length
- dose : Dose in milligrams (0.5, 1, 2)
- supp : Supplement type (VC or OJ)
Create a plot the whole dataset
ggplot(df, aes(x = dose, y = len))+
geom_col(aes(fill = supp), width = 0.7) +
scale_fill_viridis_d()
Subset the dataset
ggplot(subset(df, dose %in% c("D0.5", "D1")), aes(x = dose, y = len))+
geom_col(aes(fill = supp), width = 0.7) +
scale_fill_viridis_d()
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