plot.inertia | R Documentation |
S3 method to display the decomposition of inertia (inertia
object)
which measure the contributions of rows/columns in mutivariate methods
(dudi
objects from ade4
)
## S3 method for class 'inertia'
plot(x, xax = 1, yax = 2, threshold = 0.1,
contrib = c("abs", "rel"), type = c("label", "cross", "ellipse", "both"),
ellipseSize = 1.5, posieig = "none", plot = TRUE,
storeData = TRUE, pos = -1, ...)
## S3 method for class 'inertia'
score(x, xax = 1, threshold = 0.1, contrib = c("abs", "rel"),
posieig = "none", pos = -1, storeData = TRUE, plot = TRUE, ...)
x |
an object of the |
xax |
an integer indicating which column of |
yax |
an integer indicating which column of |
threshold |
a numeric value containing the contribution threshold (between 0 and 1) at which points should be drawn on the graphic. Low contribution points will be represented by a grey point and without label. When the contributions are displayed on a single axis, a dotted line describes the contribution threshold. |
contrib |
a character value indicating which contributions are plotted:
|
type |
a character value indicating which type represents contribution.
Labels size ( |
ellipseSize |
a positive number for ellipse size when |
posieig |
a character value or a two-length numeric vector (in normalized
parent coordinates |
plot |
a logical indicating if the graphics is displayed |
storeData |
a logical indicating if the data should be stored in
the returned object. If |
pos |
an integer indicating the position of the
environment where the data are stored, relative to the environment
where the function is called. Useful only if |
... |
additional graphical parameters (see
|
Returns an ADEgS
object.
The result is displayed if plot
is TRUE
.
Clément Claustre, Anne-Béatrice Dufour, Aurélie Siberchicot aurelie.siberchicot@univ-lyon1.fr and Stéphane Dray
# First example
data(bf88, package = "ade4")
coa1 <- ade4::dudi.coa(bf88$S1, scannf = FALSE, nf = 2)
###### row=T / col=F
res11 <- ade4::inertia(coa1, row = TRUE, col = FALSE, nf = 2)
g11 <- plot(res11, threshold = 0.06)
g12 <- plot(res11, threshold = 0.06, plabels.boxes.draw = TRUE, plines.lwd = 0,
light_row.ppoints.cex = 0, posieig = "bottomleft")
g13 <- score(res11, threshold = 0.06)
names(g13)
g14 <- score(res11, xax = 2, threshold = 0.06)
###### row=F / col=T
res12 <- ade4::inertia(coa1, row = FALSE, col = TRUE, nf = 2)
res12$col.abs
idx <- which(res12$col.abs[, 1]/100 >= 0.1 | res12$col.abs[, 2]/100 >= 0.1)
rownames(res12$col.abs[idx, ])
coa1$co[idx, ]
g15 <- plot(res12)
g16 <- score(res12, threshold = 0.08)
g17 <- score(res12, threshold = 0.07)
########################################
########################################
# Second example
data(housetasks, package = "ade4")
coa2 <- ade4::dudi.coa(housetasks, scann = FALSE)
###### row=T / col=F
res21 <- ade4::inertia(coa2, row = TRUE, col = FALSE)
g21 <- plot(res21)
g22 <- score(res21)
g23 <- score(res21, xax = 2)
###### row=F / col=T
res22 <- ade4::inertia(coa2, row = FALSE, col = TRUE)
g24 <- plot(res22, plabels.cex = 2)
names(g24)
g25 <- plot(res22, posieig = "topleft")
names(g25)
g26 <- plot(res22, heavy_col.plabels.box.draw = TRUE,
light_col.ppoints.col = "purple")
g27 <- plot(res22, type = "both")
g28 <- plot(res22, type = "ellipse", ellipseSize = 3, plabels.col = "black",
pellipse.col = "purple", pellipses.border = "black")
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