am_2anova_trouvelot object.

The dataset should be prepared in order to have a column called "trt" that contains the treatments. If the column is not present the function will fail.

am_2anova_trouvelot(x, col = c("F", "M", "a", "A"), ...)

Arguments

x	dataset containing Trouvelot or Grid data
col	contains the column to test. Should be one among: "F", "M", "a", "A"
...	ignored

Examples

x <- data.frame(Samples = c("Low_phosphate", "Low_phosphate",
                           "Low_phosphate", "Low_phosphate",
                           "Medium_phosphate", "Medium_phosphate",
                           "Medium_phosphate", "Medium_phosphate",
                           "High_phosphate", "High_phosphate",
                           "High_phosphate", "High_phosphate"),
                trt = c("Sand", "Sand", "Soil", "Soil",
                        "Sand", "Sand", "Soil", "Soil",
                        "Sand", "Sand", "Soil", "Soil"),
                F = c(88, 95, 87, 74, 95, 93, 80, 79, 72, 52, 80,
                          53))
am_2anova_trouvelot(x, col = "F")
#> The pvalue for Samples is 0.0396461025372167. There are significant differences in F feature.
#> The pvalue for treatment is 0.296875046580374. There are NOT significant differences in F feature
#> .
#> The pvalue for Sample-treatment interaction is 0.296875046580374. There are NOT significant differences in F feature.