table.value | R Documentation |
This function represents a two dimensional table plot with proportional or colored squares or circles for each value.
table.value(dftab, coordsx = 1:ncol(as.matrix(dftab)), coordsy =
nrow(as.matrix(dftab)):1, labelsx, labelsy, breaks = NULL, method =
c("size", "color"), symbol = c("square", "circle", "diamond",
"uptriangle", "downtriangle"), col = NULL, nclass = 3, center = 0,
centerpar = NULL, plot = TRUE, storeData = TRUE, add = FALSE, pos = -1, ...)
dftab |
a data frame, matrix, contingency table or distance matrix used to produce the plot |
coordsx |
an integer or a vector indicating the columns of |
coordsy |
an integer or a vector indicating the rows of |
labelsx |
columns labels |
labelsy |
rows labels |
breaks |
a vector of values to split |
method |
|
symbol |
value for symbol type |
col |
a color or a colors vector to color symbols.
If |
nclass |
an integer for the number of desired intervals, ignored if |
center |
a center value for method |
centerpar |
a logical or a list to represent center value using elements in the
|
plot |
a logical indicating if the graphics is displayed |
storeData |
a logical indicating if the data should be stored in
the returned object. If |
add |
a logical. 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
|
An object of class ADEg
(subclass T.cont
if dftab
is an table
object,
otherwise subclass T.value
) or ADEgS
(if add
is TRUE
).
The result is displayed if plot
is TRUE
.
For the symbol size, if the method is size
, we use perceptual scaling (Tanimura et al. 2006) .
Alice Julien-Laferriere, Aurelie Siberchicot aurelie.siberchicot@univ-lyon1.fr and Stephane Dray
Tanimura, S. and Kuroiwa, C. and Mizota, T. 2006 Proportional symbol mapping in R Journal of Statistical Software 15, 1–7
T.value
T.cont
ADEg.T
## data.frame
data(olympic, package = "ade4")
w <- olympic$tab
w <- data.frame(scale(w))
wpca <- ade4::dudi.pca(w, scann = FALSE)
g1 <- table.value(w, ppoints.cex = 0.5, axis.line = list(col = "darkblue"),
axis.text = list(col = "darkgrey"))
# update the legend position
update(g1, key = list(space = "left"))
update(g1, key = list(columns = 1))
g2 <- table.value(w, coordsy = rank(wpca$li[, 1]), ppoints.cex = 0.5,
axis.line = list(col = "darkblue"), axis.text = list(col = "darkgrey"))
g3 <- table.value(w, coordsy = wpca$li[, 1], coordsx = wpca$co[, 1], ppoints.cex = 0.5,
axis.line = list(col = "darkblue"), axis.text = list(col = "darkgrey"))
## distance
data(eurodist)
g5 <- table.value(eurodist, symbol = "circle",
ptable.margin = list(bottom = 5, top = 16, left = 5, right = 16))
## Not run:
## table
data(rpjdl, package = "ade4")
w <- data.frame(t(rpjdl$fau))
wcoa <- ade4::dudi.coa(w, scann = FALSE)
g6 <- table.value(as.table(as.matrix(w)), meanY = TRUE, coordsx = wcoa$c1[,1],
coordsy = rank(wcoa$l1[,1]), ppoints.cex = 0.2, labelsx = "", col = "black")
## End(Not run)
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