extract_2d | R Documentation |
Extracting information for our default/provided plot2d()
extract_2d(zargs)
zargs |
The argument list as passed from |
This is an auxiliary function called on zargs
within any
1d plotting function (e.g. hist_1d_grid
,
density_1d_graphics
, or points_1d_loon
)
to extract the 1d data from zargs
needed for plotting.
For performance reasons, no checking of the input object is done.
A list list
with
x
and y
:the data to be plotted in the 2d plot
xcols
:a list with all columns of x
groups
:the group numbers for each column of x
vars
:the variable numbers for each column of x
glabs
:the group labels for each column of x
vlabs
:the variable labels for each column of x
xlim
and ylim
:the x-axis and y-axis limits, and
same.group
:a logical
indicating
whether the x and y variables belong to the same group.
Performance critical
Marius Hofert and Wayne Oldford
Other tools for constructing your own plot1d and plot2d functions:
burst_aux()
,
burst()
,
check_zargs()
,
extract_1d()
,
plot_indices()
Other data extraction functions to build plots:
extract_1d()
Other default 2d plot functions:
arrow_2d_graphics()
,
arrow_2d_grid()
,
arrow_2d_loon()
,
axes_2d_graphics()
,
axes_2d_grid()
,
axes_2d_loon()
,
density_2d_graphics()
,
density_2d_grid()
,
density_2d_loon()
,
group_2d_graphics()
,
group_2d_grid()
,
group_2d_loon()
,
label_2d_graphics()
,
label_2d_grid()
,
label_2d_loon()
,
points_2d_graphics()
,
points_2d_grid()
,
points_2d_loon()
,
qq_2d_graphics()
,
qq_2d_grid()
,
rect_2d_graphics()
,
rect_2d_grid()
,
rect_2d_loon()
## This function is used within the default (any user defined)
## 2d plot functions
##
my_2d_plot <- function(zargs, your_name = "BillyBob", ...) {
data_2d <- extract_2d(zargs)
msg <- paste("Components of zargs available",
"to construct a 2d plot for ",
your_name)
print(msg)
## just print the names of the data components
## which you might want to use in your plot
print(names(data_2d))
## You can plot whatever you want using the information in
## could use any of these to construct any 1d plot you want
## using R's graphics or any of zemplot's built in 1d plots.
##
## For example, here we could use
## use zenplot's base graphics functions
## First a scatterplot
points_2d_graphics(zargs, ...)
## to which we overlay density contours
density_2d_graphics(zargs, add = TRUE, col = "steelblue", ...)
## similar functions could be called for the other packages.
## You can print the source of anyone of the default functions
## to get some idea of managing details.
}
## And now try it out
zenplot(iris, plot2d = my_2d_plot)
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