corsplom_data_frame: Correlated Scatterplot Matrix Function for Data Frame
In bergsmat/metaplot: Data-Driven Plot Design

corsplom_data_frame

R Documentation

Correlated Scatterplot Matrix Function for Data Frame

Description

Creates a scatterplot matrix with correlations in lower panel, by default.

Usage

corsplom_data_frame(
  x,
  xvar = names(x),
  upper.panel = metOption("upper.panel_corsplom", if (gg) "corsplom_gg_scatter" else
    "corsplom_panel_scatter"),
  lower.panel = metOption("lower.panel_corsplom", if (gg) "corsplom_gg_correlation" else
    "corsplom_panel_correlation"),
  diag.panel = metOption("diag.panel_corsplom", if (gg) "corsplom_gg_diagonal" else
    "corsplom_panel_diagonal"),
  pscales = metOption("pscales_corsplom", 0),
  xlab = metOption("xlab_corsplom", NULL),
  varname.cex = metOption("varname.cex_corsplom", 1),
  main = metOption("main_corsplom", NULL),
  sub = metOption("sub_corsplom", NULL),
  col = metOption("col_corsplom", "blue"),
  smooth.col = metOption("smooth.col_corsplom", NULL),
  smooth.lty = metOption("smooth.lty_corsplom", "solid"),
  smooth.lwd = metOption("smooth.lwd_corsplom", 1),
  smooth.alpha = metOption("smooth.alpha_corsplom", 1),
  density = metOption("density_corsplom", TRUE),
  diag.label = metOption("diag.label_corsplom", "diag_label"),
  pin = metOption("pin_corsplom", "diag_pin"),
  pin.col = metOption("pin.col_corsplom", "darkgrey"),
  pin.alpha = metOption("pin.alpha_corsplom", 1),
  dens.col = metOption("dens.col_corsplom", "grey"),
  dens.scale = metOption("dens.scale_corsplom", 0.2),
  dens.alpha = metOption("dens.alpha_corsplom", 0.5),
  settings = metOption("settings.corsplom", NULL),
  padding = metOption("padding_corsplom", 1),
  as.table = metOption("as.table_corsplom", FALSE),
  dens.up = metOption("dens.up_corsplom", TRUE),
  gg = metOption("gg_corsplom", FALSE),
  verbose = metOption("verbose_corsplom", FALSE),
  ...
)

Arguments

`x`	data.frame
`xvar`	variables to plot
`upper.panel`	passed to `splom` or ggplot
`lower.panel`	passed to `splom` or ggplot
`diag.panel`	passed to `splom` or ggplot
`pscales`	passed to `splom`
`xlab`	can be function(x = x, var = xvar, ...)
`varname.cex`	text size multiplier
`main`	character, or a function of x, xvar
`sub`	character, or a function of x, xvar
`col`	point color
`smooth.col`	smooth color, defaults to col
`smooth.lty`	smooth line type
`smooth.lwd`	smooth line size
`smooth.alpha`	smooth alpha
`density`	whether to plot density polygons
`diag.label`	label for the diagonal: a function of x, varname, .data
`pin`	location for a pin (reference line) in the density region; can be function(x, varname, .data) or NULL to suppress
`pin.col`	color of pin, if any
`pin.alpha`	alpha transparency of pin
`dens.col`	color for density region
`dens.scale`	inflation factor for height of density smooth
`dens.alpha`	alpha transparency for density region
`settings`	default parameter settings: a list from which matching elements are passed to lattice (as par.settings) or to ggplot theme()
`padding`	numeric (will be recycled to length 4) giving plot margins in default units: top, right, bottom, left (in multiples of 5.5 points for ggplot)
`as.table`	diagonal arranged top-left to bottom-right
`dens.up`	whether density plots in diagonal should face the upper triangle vs. lower
`gg`	logical: whether to generate `ggplot` instead of `trellis`
`verbose`	generate messages describing process
`...`	extra arguments passed to `splom` and ggplot

Value

trellis or grob

Examples


library(magrittr)
library(dplyr)
library(csv)
x <- as.csv(system.file(package = 'metaplot', 'extdata/theoph.csv'))
x %<>% pack
# setOption(gg = TRUE)
x %>% metaplot(lKe, lKa, lCl)
x %>% metaplot(
  lKe, lKa, lCl,
  col = 'black',smooth.col = 'red', pin.col = 'red',
  dens.col='blue',dens.alpha = 0.1
)

bergsmat/metaplot documentation built on Feb. 21, 2024, 1:18 p.m.