Function to calculate the means using Linear models (lm or aov)

means_lm( data, trait, model, comparison, test = "SNK", anova = FALSE, plot_diag = FALSE, plot_treat = NULL, plot_groups = NULL, tab_vars = NULL, sep = NULL, digits = 3 )

data | Experimental design data frame with the factors and traits. |
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trait | Name of the trait. |

model | The effects in the model. See examples. |

comparison | Factor for the comparisons. |

test | Test comparison (default = "SNK"). Others: "TUKEY" & "DUNCAN". |

anova | ANOVA table (default = FALSE). |

plot_diag | Show diagnostic plots (default = FALSE). |

plot_treat | Treat of comparison in dot plot (default = NULL). See example. |

plot_groups | Group of comparison in dot plot (default = NULL). See example. |

tab_vars | Specific the variables in the summary table (default = NULL). |

sep | Separator between the variables when use |

digits | Number of digits in the table (default = 3). |

A list with two objects:

1. Summary statistics.

2. Means with the mean comparisons test.

Using `tab_vars`

select the variables shown the adjusted mean table with
the `sep`

. Mean comparison at p < 0.05.