Plot a point based on a summary statistic computed from a given method (typically, mean) for a set of points in a projected ENA space

ena.plot.group(
enaplot,
points = NULL,
method = "mean",
labels = NULL,
colors = default.colors[1],
shape = c("square", "triangle-up", "diamond", "circle"),
confidence.interval = c("none", "crosshairs", "box"),
outlier.interval = c("none", "crosshairs", "box"),
label.offset = "bottom right",
label.font.size = NULL,
label.font.color = NULL,
label.font.family = NULL,
show.legend = T,
legend.name = NULL,
...
)

## Arguments

enaplot ENAplot object to use for plotting A matrix or data.frame where columns contain coordinates of points in a projected ENA space A function for computing a summary statistic for each column of points A character which will be the label for the group's point A character, determines color of the group's point, default: enaplot$color A character, determines shape of the group's point, choices: square, triangle, diamond, circle, default: square A character that determines how the confidence interval is displayed, choices: none, box, crosshair, default: none A character that determines how outlier interval is displayed, choices: none, box, crosshair, default: none character: top left (default), top center, top right, middle left, middle center, middle right, bottom left, bottom center, bottom right An integer which determines the font size for label, default: enaplot\$font.size A character which determines the color of label, default: enaplot\$font.color A character which determines font type, choices: Arial, Courier New, Times New Roman, default: enaplot\$font.family Logical indicating whether to show the point labels in the in legend Character indicating the name to show above the plot legend Additional parameters

## Value

The ENAplot provided to the function, with its plot updated to include the new group point.

## Details

Plots a point based on a summary statistic for a group (typically, mean)

ena.plot, ena.plot.points

## Examples

data(RS.data)

codeNames = c('Data','Technical.Constraints','Performance.Parameters',
'Client.and.Consultant.Requests','Design.Reasoning','Collaboration');

accum = ena.accumulate.data(
conversation = RS.data[,c("Condition","GroupName")],
codes = RS.data[,codeNames],
window.size.back = 4
)

set = ena.make.set(
rotation.by = ena.rotate.by.mean,
rotation.params = list(
accum$meta.data$Condition=="FirstGame",
accum$meta.data$Condition=="SecondGame"
)
)

plot = ena.plot(set)

unitNames = set$enadata$units

### Plot Condition 1 Group Mean
plot = ena.plot.group(plot, as.matrix(set$points$Condition$FirstGame), labels = "FirstGame", colors = "red", confidence.interval = "box") ### plot Condition 2 Group Mean plot = ena.plot.group(plot, as.matrix(set$points$Condition$SecondGame), labels = "SecondGame",
colors  = "blue", confidence.interval = "box")

print(plot);