Calcium pot trial

An experiment was conducted to assess the impact of four different calcium concentrations (levels A = 1, B = 5, C = 10, D = 20) on the root growth of plants. The study followed a completely randomized design, with each treatment assigned to five individual plants growing in separate pots, for a total of 20 pots. At the end of the experiment, the total root length (in cm) was measured for each pot. The dataset contains three columns: Pot, a unique identifier for each pot; Calcium, a factor indicating the assigned calcium treatment level; and Length, the measured total root length for each pot. This structure allows for comparison of root growth across the different calcium concentration treatments.

Usage

calcium

Format

A data frame with 3 variables: Pot, Calcium, Length. #' @format A data frame with the following variables:

Pot

Factor. Unique identifier for each pot/experimental unit.

Calcium

Factor. Treatment group indicating the relative concentration of calcium applied to each pot (levels: "A" = 1, "B" = 5, "C" = 10, "D" = 20).

Length

Integer. Total root length (in centimeters) measured for each pot at the end of the experiment.

Source

Welham, S. J., Gezan, S. A., Clark, S. J., and Mead, A. (2015) Statistical Methods in Biology: Design and analysis of experiments and regression

Examples

anova(lm(Length ~ Calcium, data = calcium))
#> Analysis of Variance Table
#> 
#> Response: Length
#>           Df Sum Sq Mean Sq F value    Pr(>F)    
#> Calcium    3 2462.9  820.98  10.753 0.0004092 ***
#> Residuals 16 1221.6   76.35                      
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1