auto_plot | R Documentation |
marginal_plot: lattice marginal plot
auto_plot(...)
## S3 method for class 'lm'
auto_plot(x, ...)
## Default S3 method:
auto_plot(
...,
origin = 0,
xlab = NULL,
ylab = NULL,
type = c("p", "r"),
cex.main = 1,
cex.scales = 0.75,
ncol = NULL,
default.scales = list(abbreviate = TRUE, minlength = 5, cex = cex.scales),
layout = NULL,
lattice.options = list(layout.heights = list(axis.xlab.padding = list(x = 0),
xlab.key.padding = list(x = 0))),
col = farbe(),
col.bar = "gray50",
par.settings = bw_theme(col = col, col.bar = col.bar),
include.n = TRUE,
par.strip.text = NULL,
wrap.main = NULL,
grid.arrange = TRUE,
levels.logical = c(TRUE, FALSE),
labels.logical = levels.logical,
include.percent = FALSE,
include.reorder = FALSE,
include.reorder.last = NULL,
main = ""
)
marginal_plot(
...,
par.settings = bw_theme(farbe()),
auto.key = list(lines = TRUE),
plot.points = FALSE,
ref = TRUE,
cut = 0,
cut.groups = 3,
labels.groups = NULL,
origin = 0,
xlab = NULL,
ylab = NULL,
type = NULL,
main = "marginal distributions",
subset = TRUE,
as.table = TRUE,
subscripts = TRUE,
default.scales = list(relation = "free", abbreviate = TRUE, minlength = 5, rot = 0, cex
= 0.75, tick.number = 3),
layout = NULL,
lattice.options = list(layout.heights = list(axis.xlab.padding = list(x = 0),
xlab.key.padding = list(x = 0)))
)
... |
an prepare_data2 |
ylab , xlab |
default ist "" |
type |
c("histogram", "boxplot") |
cex.main , cex.scales |
Ueberschrift und Scales |
ncol |
an grid.arrange |
par.settings |
sefault ist par.settings = bw_theme((farbe())) |
include.n |
noch nicht implemeniert |
grid.arrange |
logical Arrange multiple grobs on a page |
par.settings , auto.key |
an lattice sefault ist par.settings = stp25output::set_lattice() |
lattice Plot
lattice Plot
enviro <- lattice::environmental
enviro <- transform(
enviro,
smell = cut(
enviro$ozone,
breaks = c(0, 30, 50, Inf),
labels = c("ok", "hmmm", "yuck"),
ordered = TRUE
),
is.windy = factor(
enviro$wind > 10,
levels = c(TRUE, FALSE),
labels = c("windy", "calm")
)
)
#head(enviro)
# marginal.plot(enviro[,1:5], data = enviro, groups = is.windy,
# auto.key = list(lines = TRUE))
marginal_plot(enviro, ozone, radiation, is.windy, wind, smell, by = ~ temperature)
auto_plot(enviro, ozone, radiation, is.windy, wind, smell, by = ~ temperature)
auto_plot(ozone ~ radiation + is.windy + wind + smell, enviro)
auto_plot(enviro, ozone[box], radiation[hist], is.windy[pie], wind, smell, temperature)
auto_plot(enviro, ozone, radiation, is.windy, wind, by = ~ smell)
# das ist eine Liste mit plots
p1 <-
auto_plot(enviro,
ozone,
radiation,
is.windy,
wind,
smell,
temperature,
grid.arrange = FALSE)
for (i in seq_along(p1)) {
cat("\n", names(p1[i]))
print(p1[[i]])
# SavePlot( names(p1[i]) , w=3.6, h=2.9)
}
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