Results from an experiment to compare yields (as measured by dried
weight of plants) obtained under a control and two different treatment
conditions.
Usage
PlantGrowth
Format
A data frame of 30 cases on 2 variables.
[, 1]
weight
numeric
[, 2]
group
factor
The levels of group are ‘ctrl’, ‘trt1’, and ‘trt2’.
Source
Dobson, A. J. (1983)
An Introduction to Statistical Modelling.
London: Chapman and Hall.
Examples
## One factor ANOVA example from Dobson's book, cf. Table 7.4:
require(stats); require(graphics)
boxplot(weight ~ group, data = PlantGrowth, main = "PlantGrowth data",
ylab = "Dried weight of plants", col = "lightgray",
notch = TRUE, varwidth = TRUE)
anova(lm(weight ~ group, data = PlantGrowth))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(datasets)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/datasets/PlantGrowth.Rd_%03d_medium.png", width=480, height=480)
> ### Name: PlantGrowth
> ### Title: Results from an Experiment on Plant Growth
> ### Aliases: PlantGrowth
> ### Keywords: datasets
>
> ### ** Examples
>
> ## One factor ANOVA example from Dobson's book, cf. Table 7.4:
> require(stats); require(graphics)
> boxplot(weight ~ group, data = PlantGrowth, main = "PlantGrowth data",
+ ylab = "Dried weight of plants", col = "lightgray",
+ notch = TRUE, varwidth = TRUE)
Warning message:
In bxp(list(stats = c(4.17, 4.53, 5.155, 5.33, 6.11, 3.59, 4.17, :
some notches went outside hinges ('box'): maybe set notch=FALSE
> anova(lm(weight ~ group, data = PlantGrowth))
Analysis of Variance Table
Response: weight
Df Sum Sq Mean Sq F value Pr(>F)
group 2 3.7663 1.8832 4.8461 0.01591 *
Residuals 27 10.4921 0.3886
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
>
>
>
>
> dev.off()
null device
1
>