str(PlantGrowth)
## 'data.frame': 30 obs. of 2 variables:
## $ weight: num 4.17 5.58 5.18 6.11 4.5 4.61 5.17 4.53 5.33 5.14 ...
## $ group : Factor w/ 3 levels "ctrl","trt1",..: 1 1 1 1 1 1 1 1 1 1 ...
summary(PlantGrowth)
## weight group
## Min. :3.590 ctrl:10
## 1st Qu.:4.550 trt1:10
## Median :5.155 trt2:10
## Mean :5.073
## 3rd Qu.:5.530
## Max. :6.310
par(mar = c(3, 3, 0, 3))
with(PlantGrowth, boxplot(weight ~ group))
par(mfrow=c(1,1),mar=c(5,4,2,4))
with(PlantGrowth,boxplot(weight ~ group,
col= "gray",
border= "black",
main= "Box Plot of Plant Weights",
xlab= "Treatment",
ylab= "Dried weight (g)",
ylim= c(3,7),
boxwex= 0.6))
## Horizontal Box Plots
par(mar=c(5,4,2,4))
with(PlantGrowth,boxplot(weight ~ group,
col= "gray",
main= "Horizontal Box Plot",
xlab= "Dried weight (g)",
ylab= "Treatment",
horizontal = TRUE))
## Advanced Boxplot Features
par(mfrow=c(1,1),mar=c(3,4,2,4))
PlantGrowth$group<-factor(PlantGrowth$group, levels= c("trt1", "trt2", "ctrl"))
summary(PlantGrowth$group)
## trt1 trt2 ctrl
## 10 10 10
with(PlantGrowth,boxplot(weight ~ group,
col= c("grey70","grey70","grey40"),
names= c("Treatment 1", "Treatment 2","Control"),
main= "Publication quality example",
ylab= "Dried weight (g)",
outpch= 20,
outcol= "grey70",
ylim= c(3,7),
boxwex= 0.6,
las= 1))