The R dataset contains results from an experiment to compare yields (as measured by dried weight of plants) obtained under a control and two different treatment conditions. It is a data frame of 30 cases on 2 variables.
library(plotly)
data("PlantGrowth")
dim(PlantGrowth)
## [1] 30 2
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 ...
head(PlantGrowth)
## weight group
## 1 4.17 ctrl
## 2 5.58 ctrl
## 3 5.18 ctrl
## 4 6.11 ctrl
## 5 4.50 ctrl
## 6 4.61 ctrl
This plot was created on 5th of September 2019:
plot_ly(PlantGrowth, y = ~weight, color = ~group, type = "box") %>% layout(title = 'Plant Growht per group')
Dobson, A. J. (1983) An Introduction to Statistical Modelling. London: Chapman and Hall.
This plot was an exercise for the course “Developing Data Products” from Johns Hopkins on Coursera.