diag_label

varname

.data

diag_label_simple

whether to substitute line breaks for spaces

diag_label_split

function to process symbol attribute, if present

diag_symbol_format

generate messages describing process

verbose

Formats a diagonal label. Can return a simple column name, a column label (if attribute defined), a fractured column label (split on spaces), or a processed symbol (over-rides label).

Designs plots in terms of core structure.  See 'example(metaplot)'.
Primary arguments are (unquoted) column names; order and type (numeric or not)
dictate the resulting plot.  Specify any y variables, x variable, any groups variable,
and any conditioning variables to metaplot() to generate density plots, boxplots,
mosaic plots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot()
to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide'
are honored, producing fully annotated plots with minimal effort. Attribute 'guide'
is typically units, but may be encoded() to provide interpretations of categorical
values (see '?encode').  Utility unpack() transforms scalar column attributes to row
values and pack() does the reverse, supporting tool-neutral storage of metadata along
with primary data. The package supports customizable aesthetics such as such as reference
lines, unity lines, smooths, log transformation, and linear fits. The user may choose
between trellis and ggplot output. Compact syntax and integrated metadata promote workflow
scalability.

diag_label: Format a Diagonal Label

Description

Usage

Arguments

Value

See Also