means | R Documentation |
This function allows the user to format the aesthetics for the class means or group means.
means (bp, which = NULL, col = NULL, pch = 15, cex = 1, label = FALSE,
label.col = NULL,label.cex = 0.75, label.side = "bottom", label.offset = 0.5,
opacity = 1, shade.darker = TRUE)
bp |
an object of class |
which |
a vector containing the groups or classes for which the means should be displayed, with default |
col |
the colour(s) for the means, with default as the colour of the samples. |
pch |
the plotting character(s) for the means, with default |
cex |
the character expansion(s) for the means, with default |
label |
a logical value indicating whether the means should be labelled, with default |
label.col |
a vector of the same length as |
label.cex |
a vector of the same length as |
label.side |
the side at which the label of the plotted mean point appears, with default |
label.offset |
the offset of the label from the plotted mean point. See |
opacity |
transparency of means. |
shade.darker |
a logical value indicating whether the colour of the mean points should be made a shade darker than the default or specified colour, with default |
The number of classes or groups (defined by group.aes) is indicated as g
. If an argument is not of length g
,
recycling is used.
The object of class biplot
will be appended with a list called means
containing the following elements:
which |
a vector containing the groups or classes for which the means are displayed. |
col |
the colour(s) of the means. |
pch |
the plotting character(s) of the means. |
cex |
the character expansion(s) of the plotting character(s) of the means. |
label |
a logical value indicating whether means are labelled. |
label.col |
the label colours of the means. |
label.cex |
the label text expansions of the samples. |
label.side |
the side at which the label of the plotted mean point appears. |
label.offset |
the offset of the label from the plotted mean point. |
opacity |
the opacity level of the plotted points. |
biplot()
biplot(iris[,1:4]) |> PCA() |>
means(col = "purple", pch = 15, cex = 2) |> plot()
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