ternaryplot | R Documentation |
Visualizes compositional, 3-dimensional data in an equilateral triangle.
ternaryplot(x, scale = 1, dimnames = NULL,
dimnames_position = c("corner","edge","none"),
dimnames_color = "black", dimnames_rot = c(-60, 60, 0),
id = NULL, id_color = "black",
id_just = c("center", "center"),
coordinates = FALSE, grid = TRUE, grid_color = "gray",
labels = c("inside", "outside", "none"),
labels_color = "darkgray", labels_rot = c(120, -120, 0),
border = "black", bg = "white",
pch = 19, cex = 1, prop_size = FALSE, col = "red",
main = "ternary plot", newpage = TRUE, pop = TRUE,
return_grob = FALSE, ...)
x |
a matrix with three columns. |
scale |
row sums scale to be used. |
dimnames |
dimension labels (defaults to the column names of
|
dimnames_position , dimnames_color |
position and color of dimension labels. |
dimnames_rot |
Numeric vector of length 3, specifying the angle of the dimension labels. |
id |
optional labels to be plotted below the plot
symbols. |
id_color |
color of these labels. |
id_just |
character vector of length 1 or 2 indicating the justification of these labels. |
coordinates |
if |
grid |
if |
grid_color |
grid color. |
labels , labels_color |
position and color of the grid labels. |
labels_rot |
Numeric vector of length 3, specifying the angle of the grid labels. |
border |
color of the triangle border. |
bg |
triangle background. |
pch |
plotting character. Defaults to filled dots. |
cex |
a numerical value giving the amount by which plotting text
and symbols should be scaled relative to the default. Ignored for
the symbol size if |
prop_size |
if |
col |
plotting color. |
main |
main title. |
newpage |
if |
pop |
logical; if |
return_grob |
logical. Should a snapshot of the display be returned as a grid grob? |
... |
additional graphics parameters (see |
A points' coordinates are found by computing the gravity center of
mass points using the data entries as weights. Thus, the coordinates
of a point P(a,b,c)
, a + b + c = 1
, are: P(b + c/2, c
\sqrt{3}/2)
.
David Meyer David.Meyer@R-project.org
M. Friendly (2000), Visualizing Categorical Data. SAS Institute, Cary, NC.
data("Arthritis")
## Build table by crossing Treatment and Sex
tab <- as.table(xtabs(~ I(Sex:Treatment) + Improved, data = Arthritis))
## Mark groups
col <- c("red", "red", "blue", "blue")
pch <- c(1, 19, 1, 19)
## plot
ternaryplot(
tab,
col = col,
pch = pch,
prop_size = TRUE,
bg = "lightgray",
grid_color = "white",
labels_color = "white",
main = "Arthritis Treatment Data"
)
## legend
grid_legend(0.8, 0.7, pch, col, rownames(tab), title = "GROUP")
## Titanic
data("Lifeboats")
attach(Lifeboats)
ternaryplot(
Lifeboats[,4:6],
pch = ifelse(side == "Port", 1, 19),
col = ifelse(side == "Port", "red", "blue"),
id = ifelse(men / total > 0.1, as.character(boat), NA),
prop_size = 2,
dimnames_position = "edge",
main = "Lifeboats on Titanic"
)
grid_legend(0.8, 0.9, c(1, 19),
c("red", "blue"), c("Port", "Starboard"),
title = "SIDE")
## Hitters
data("Hitters")
attach(Hitters)
colors <- c("black","red","green","blue","red","black","blue")
pch <- substr(levels(Positions), 1, 1)
ternaryplot(
Hitters[,2:4],
pch = as.character(Positions),
col = colors[as.numeric(Positions)],
main = "Baseball Hitters Data"
)
grid_legend(0.8, 0.9, pch, colors, levels(Positions),
title = "POSITION(S)")
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