l_ccmaps: Conditioned Choropleth Maps (Conditioned Micromaps) in loon
In x249wang/loon.micromaps: Interactive Micromaps with loon

Description Usage Arguments Value Examples

2-way panel of maps for visualizing multivariate data

l_ccmaps(tt = tktoplevel(), cc_inspector = TRUE, title = "CCmaps", spdf,
  respvar, respvar.lab = NULL, cond1var, cond1var.lab = NULL, cond2var,
  cond2var.lab = NULL, respbreaks = 2, cond1breaks = 2, cond2breaks = 2,
  respscale = c("actual", "percent", "log"), cond1scale = c("actual",
  "percent", "log"), cond2scale = c("actual", "percent", "log"), size = 10,
  seg1col = "blue", seg2col = "darkgrey", seg3col = "red",
  optimize = FALSE, otry = 20)

`tt`	Tk top level window. Defaults to a new window
`cc_inspector`	Whether to draw the custom inspector for CCmaps, which allows for variable selection, variable label update, font size adjustment and option to optimize R^2. Defaults to TRUE. Once created, the inspector can only be closed when the main display window is closed
`title`	Title of the map. Appears in the title bar of the toplevel window. Defaults to "CCmaps"
`spdf`	`SpatialPolygonsDataFrame` object to hold polygon coordinates and attributes. It should contain all variables used in analysis
`respvar`	Name of the response value variable
`respvar.lab`	Label for response value variable for slider. Defaults to NULL, in which case `respvar` is used
`cond1var`	Name of the first conditioning variable (controls panel assignment in the vertical direction)
`cond1var.lab`	Label for first conditional variable for slider. Defaults to NULL, in which case `cond1` is used
`cond2var`	Name of the second conditioning variable (controls panel assignment in the horizontal direction)
`cond2var.lab`	Label for second conditional variable for slider. Defaults to NULL, in which case `cond2` is used
`respbreaks`	Determines how the response data is divided into three groups for coloring scheme. It can either be the integer 2 or a numeric vector of two middle break points. Defaults to 2, in which case the response values are divided into tertiles
`cond1breaks`	Similar to `respbreaks`; determines how the first conditioning variable values are divided into three groups for panel membership
`cond2breaks`	Similar to `respbreaks`; determines how the second conditioning variable values are divided into three groups for panel membership
`respscale`	What scale to use for drawing the response variable slider. Must be one of three values - actual (unchanged), percent (quantiles) and log
`cond1scale`	What scale to use for drawing the first conditioning variable slider. Must be one of three values - actual (unchanged), percent (quantiles) and log
`cond2scale`	What scale to use for drawing the second conditioning variable slider. Must be one of three values - actual (unchanged), percent (quantiles) and log
`size`	Font size for model value labels andR^2. Defaults to size 10
`seg1col`	Color of first interval of points by `respvar` value. Cannot be 'cornsilk'. Defaults to 'blue'
`seg2col`	Color of second interval of points by `respvar` value. Cannot be 'cornsilk'. Defaults to 'darkgrey'
`seg3col`	Color of third interval of points by `respvar` value. Cannot be 'cornsilk'. Defaults to 'red'
`optimize`	Logical value indicating whether panel assignment should be optimized for R^2. Requires a long time to compute. Defaults to FALSE
`otry`	Integer (greater than 0) indicating number of values to try for optimization (see above). Required if `optimize = TRUE`. Defaults to 20. A higher `otry` value leads to more precise estimates at the cost of longer computation time

An object of classes loon_ccmaps and loon, containing the Tk toplevel window, respvar value, cond1var value, cond2var value, and the handles for the loon map plot objects in list form

## Not run: 

## Get data
library(rgdal)
library(maptools)
columbus <- readOGR(system.file("shapes/columbus.shp", package = "maptools")[1], verbose = F)

## Plot
cc <- l_ccmaps(title = "Columbus Residential Burglaries and Vehicle Thefts",
               spdf = columbus,
               respvar = "CRIME", cond1var = "PLUMB", cond2var = "HOVAL",
               respscale = "actual", cond1scale = "actual", cond2scale = "actual",
               optimize = FALSE)


## End(Not run)