Mean-mean multiple comparison plot using R

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Introduction

A mean-mean comparison plot (MMC plot) presents pairwise comparisons among treatment means in a two-dimensional display. It helps readers see which mean differences are estimated precisely enough to be distinguished under the selected comparison procedure.

An MMC plot places one group mean on each axis and uses the identity line to show equality. The plotted points and intervals encode pairwise differences and their uncertainty according to the method used. Interpretation depends on the fitted model, the confidence-interval procedure, and any multiplicity adjustment; describe these choices in the figure note.

If the vector does not cross the identity line, you can conclude there is a significant difference between the means. 
Lines crossing the diagonal in this chart are equivalent to non-significant differences between treatment means.

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  1. AnonymousJuly 18, 2023 at 4:01 PM

    i get this type of errors, please rectify it
    > library(HH)
    > res.glht <- glht(model = results,
    + linfct = mcp(treatment = "Tukey"),
    + alternative = "two.sided")
    Error in mcp2matrix(model, linfct = linfct) :
    Variable(s) ‘treatment’ of class ‘character’ is/are not contained as a factor in ‘model’.
    > res.glht <- glht(model = results,
    + linfct = mcp(treatment = "Tukey"),
    + alternative = "two.sided")
    Error in mcp2matrix(model, linfct = linfct) :
    Variable(s) ‘treatment’ of class ‘character’ is/are not contained as a factor in ‘model’.
    > library(HH)
    > res.glht <- glht(model = results,
    + linfct = mcp(treatment = "Tukey"),
    + alternative = "two.sided")
    Error in mcp2matrix(model, linfct = linfct) :
    Variable(s) ‘treatment’ of class ‘character’ is/are not contained as a factor in ‘model’.
    > print(res.glht)
    Error: object 'res.glht' not found
    > res.mmc <- mmc(model = results,
    + linfct = mcp(treatment = "Tukey"),
    + focus = "treatment")
    Error in prod(mmm.rows) : invalid 'type' (list) of argument
    > print(res.mmc)
    Error: object 'res.mmc' not found
    > mmcplot(mmc = res.mmc,
    + # MMC plot and tiebreaker
    + style = both, type = "mca")
    Error: object 'res.mmc' not found
    > # MMC plot only
    > style = isomeans, type = "mca"
    Error: unexpected ',' in "style = isomeans,"
    > # Tiebreaker only when type = "none"
    > style = both, type = "none"
    Error: unexpected ',' in "style = both,"
    > # Tiebreaker only when type = "none"
    > style = isomeans, type = "none"
    Error: unexpected ',' in "style = isomeans,"

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