This dataset presents individual row yields from a field experiment designed as a randomized complete block design to evaluate the effects of four different fungicides (F1, F2, F3, and F4) compared with untreated control plots on potato yield. The trial was arranged as four blocks, each containing five plots, for a total of 20 units. For this analysis, yield measurements are broken down to the level of individual rows within each plot. The dataset includes classifying factors for Block, Plot, and Row, enabling detailed investigation of within-plot and within-block variation, as well as the overall impact of fungicide treatments on potato yield.
Format
A data frame with 6 variables: ID, Block, Plot, Row, Fungicide, RowYield.
- ID
Factor. Unique identifier for each row yield observation.
- Block
Factor. Block number in the randomized complete block design with four levels.
- Plot
Factor. Plot number within each block (1–5).
- Row
Factor. Row number within each plot, corresponding to individual row yields.
- Fungicide
Factor. Fungicide treatment applied to the plot ("Control", "F1", "F2", "F3", or "F4").
- RowYield
Integer. Potato yield measured for the individual row (units as recorded, e.g., grams or kilograms).
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
summary(aov(RowYield ~ Fungicide + Error(Block/Plot/Row), data = potatorow))
#>
#> Error: Block
#> Df Sum Sq Mean Sq F value Pr(>F)
#> Residuals 3 59949 19983
#>
#> Error: Block:Plot
#> Df Sum Sq Mean Sq F value Pr(>F)
#> Fungicide 4 533677 133419 9.576 0.00103 **
#> Residuals 12 167187 13932
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Error: Block:Plot:Row
#> Df Sum Sq Mean Sq F value Pr(>F)
#> Residuals 60 186848 3114