lmgroupedplot {micromap}

Linked Micromaps

Description

Creates a linked micromap, displaying specified polygons and their associated statistical summary displays; differentiated by color.

Usage

lmgroupedplot(
  stat.data,
  map.data,
  panel.types,
  panel.data,
  map.link = NULL,
  nPanels = length(panel.types),
  grp.by,
  cat,
  colors = brewer.pal(10, "Spectral"),
  map.color = "lightyellow",
  map.all = FALSE,
  print.file = "no",
  print.res = NA,
  panel.att = vector("list", nPanels),
  plot.header = NA,
  plot.header.size = NA,
  plot.header.color = NA,
  plot.footer = NA,
  plot.footer.size = NA,
  plot.footer.color = NA,
  plot.width = 7,
  plot.height = 7,
  map.spacing = 1,
  plot.grp.spacing = 1,
  plot.panel.spacing = 1,
  plot.panel.margins = c(0, 0, 1, 0),
  ...
)

lmplot(
  stat.data,
  map.data = NULL,
  panel.types,
  panel.data,
  map.link = NULL,
  nPanels = length(panel.types),
  ord.by,
  rev.ord = FALSE,
  grouping,
  median.row = FALSE,
  vertical.align = "top",
  median.color = gray(0.5),
  colors = brewer.pal(max(grouping), "Spectral"),
  map.all = FALSE,
  map.color2 = "lightgray",
  two.ended.maps = FALSE,
  print.file = "no",
  print.res = 300,
  panel.att = vector("list", nPanels),
  plot.header = NA,
  plot.header.size = NA,
  plot.header.color = NA,
  plot.footer = NA,
  plot.footer.size = NA,
  plot.footer.color = NA,
  plot.width = 7,
  plot.height = 7,
  map.spacing = 1,
  plot.pGrp.spacing = 1,
  plot.panel.spacing = 1,
  plot.panel.margins = c(0, 0, 1, 0),
  ...
)

mmgroupedplot(
  stat.data,
  map.data,
  panel.types,
  panel.data,
  map.link = NULL,
  nPanels = length(panel.types),
  grp.by,
  cat,
  colors = brewer.pal(10, "Spectral"),
  map.color = "lightyellow",
  map.all = FALSE,
  print.file = "no",
  print.res = NA,
  panel.att = vector("list", nPanels),
  plot.header = NA,
  plot.header.size = NA,
  plot.header.color = NA,
  plot.footer = NA,
  plot.footer.size = NA,
  plot.footer.color = NA,
  plot.width = 7,
  plot.height = 7,
  map.spacing = 1,
  plot.grp.spacing = 1,
  plot.panel.spacing = 1,
  plot.panel.margins = c(0, 0, 1, 0)
)

mmplot(map.data, ...)

## S3 method for class 'SpatialPolygonsDataFrame'
mmplot(map.data, ...)

## S3 method for class 'sf'
mmplot(map.data, ...)

## Default S3 method:
mmplot(
  map.data,
  stat.data,
  panel.types,
  panel.data,
  map.link,
  nPanels = length(panel.types),
  ord.by,
  rev.ord = FALSE,
  grouping,
  median.row = FALSE,
  vertical.align = "top",
  median.color = gray(0.5),
  median.text.color = "black",
  median.text.size = 1,
  median.text.label = "Median",
  colors = brewer.pal(max(grouping), "Spectral"),
  map.all = FALSE,
  map.color2 = "lightgray",
  two.ended.maps = FALSE,
  trans = "identity",
  print.file = "no",
  print.res = 300,
  panel.att = vector("list", nPanels),
  plot.header = NA,
  plot.header.size = NA,
  plot.header.color = NA,
  plot.footer = NA,
  plot.footer.size = NA,
  plot.footer.color = NA,
  plot.width = 7,
  plot.height = 7,
  map.spacing = 1,
  plot.pGrp.spacing = 1,
  plot.panel.spacing = 1,
  plot.panel.margins = c(0, 0, 1, 0),
  ...
)

Arguments

stat.data

table of statistics for display

map.data

table of polygons to be associated with each item in stat.data.

panel.types

vector of panel types to specify the layout of the plot (e.g. c('map', 'labels', 'dot.cl'))

panel.data

a list (of lists) of data to be used with each panel (e.g. list(NA, 'Names', list('lower.bound','estimate','upper.bound')).

map.link

a vector with the name of the columns from stat.data and map.data, respectively, on which to join.

nPanels

the number of panels, which is not expected to be set by the user. The default is the length of panel.types.

grp.by

The column name from stat.data with which to order the lines of the output graphic for a standard lmPLot or identifier column on which to group the categorized lmPLot.

cat

category column within stats table for a categorization type lmplot.

colors

a vector of colors for the perceptual groups. The default is brewer.pal(max(grouping), 'Spectral') for lmplot and brewer.pal(10, 'Spectral') for lmgroupedplot). The colors are passed to colorRampPalette to create a continuous color vector equal in length to the groupings.

map.color

the color to fill in previously displayed polygons.

map.all

by default, lmplot will only plot the polygons associated with data in the stats table; map.all = TRUE will show all the polygons in the polygon table regardless of whether they are actively referred to.

print.file

name of the file being created. The extension (.pdf, .tiff, .jpeg, .png) tells lmplot which image creation tool to use.

print.res

the resolution of the image to use.

panel.att

a list of panel specific attributes to be altered (see lmplot documentation).

plot.header

the overall title to be placed on the lmPLot.

plot.header.size

size of the overall title to be placed on the lmPLot.

plot.header.color

color of the overall title to be placed on the lmPLot.

plot.footer

the overall footer to be placed under the lmPLot.

plot.footer.size

size of the overall footer to be placed under the lmPLot.

plot.footer.color

color of the overall footer to be placed under the lmPLot.

plot.width

width of the overall plot in inches. Defaults to 7.

plot.height

height of the overall plot in inches. Defaults to 7.

map.spacing

the vertical spacing between maps measured in lines. Perceptual group spacing does not affect map spacing so as to leave the maps as large as possible. The user can increase map spacing using this argument. Defaults to 1.

plot.grp.spacing

the vertical spacing between groups measured in lines. Defaults to 1.

plot.panel.spacing

the vertical spacing between panels measured in lines. Defaults to 1.

plot.panel.margins

the horizontal spacing between panels measured in lines. THIS IS LEGACY CODE AND SHOULD NOT BE USED.

...

Additional arguments passed to or from other methods.

ord.by

The column name from stat.data with which to order the lines of the output graphic for a standard lmPLot or identifier column on which to group the categorized lmPLot.

rev.ord

specifies whether the plot should be displayed in reverse order of the ranking column. The default is FALSE.

grouping

the number of lines per perceptual group (for the standard lmplot only). Can be a single number to have the same numer in each group or a vector of numbers for unequal groupings.

median.row

specifies whether a median row should be included. If an odd number of data lines are supplied, a data line itself will be used as the median, otherwise median entries will be calculated from the supplied data. Note that without a median row maps are forced into proper size.

vertical.align

controls vertical alignment of the median row.

median.color

specifies color of the median row.

map.color2

the color to fill in previously displayed polygons.

two.ended.maps

the resulting micromaps will highlight previously referenced polygons (see map.color2) up to the median perceptual group then switch to highlighting all polygons that are still to be referenced later.

plot.pGrp.spacing

the vertical spacing between perceptual groups measured in lines. Defaults to 1.

median.text.color

specifies color of text in the median row.

median.text.size

specifies size of text in the median row.

median.text.label

specifies the label for text in the median row.

trans

chr string for axis transformations, passed to scale_x_continuous. Acceptable values are "asn", "atanh", "boxcox", "exp", "identity", "log", "log10", "log1p", "log2", "logit", "probability", "probit", "reciprocal", "reverse" or "sqrt". One value will be recycled to all panels as needed, otherwise one per panel can be used in a combined string. Applies only to panels with axes.

Value

A list of ggplot2 objects with entries for each individual panel.

Note

See the Introduction Guide for a full list of the options available for altering micromaps.

Author(s)

Quinn Payton [e-mail]

Examples

# initial example

data("USstates")
head(USstates@data)
statePolys <- create_map_table(USstates, 'ST')
head(statePolys)

data("edPov")

# basic figure 1
lmplot(stat.data = edPov,
  	map.data = statePolys,
	panel.types = c('labels', 'dot', 'dot','map'),
	panel.data = list('state','pov','ed', NA),
	ord.by = 'pov',   
	grouping = 5, median.row = TRUE,
	map.link = c('StateAb','ID'))

## Not run: 
# publication figure 1a
lmplot(stat.data = edPov,  map.data = statePolys ,
	panel.types = c('labels', 'dot', 'dot','map'),
	panel.data = list('state','pov','ed', NA),
	ord.by = 'pov',  
	grouping = 5, 
  	median.row = TRUE,
	map.link = c('StateAb','ID'),
	
  	plot.height = 9,							
	colors = c('red','orange','green','blue','purple'), 
	map.color2 = 'lightgray',
       
	panel.att = list(
	    list(1, header = 'States', panel.width = .8, align = 'left', 
	      text.size = .9),
			list(2, header = 'Percent Living Below \n Poverty Level',
				graph.bgcolor = 'lightgray', point.size = 1.5,
				xaxis.ticks = list(10,15,20), xaxis.labels = list(10,15,20),
				xaxis.title = 'Percent'),
			list(3, header = 'Percent Adults With\n4+ Years of College',
				graph.bgcolor = 'lightgray', point.size = 1.5,
				xaxis.ticks = list(0,20,30,40), xaxis.labels = list(0,20,30,40),
				xaxis.title = 'Percent'),
			list(4, header = 'Light Gray Means\nHighlighted Above',  
				inactive.border.color = gray(.7), inactive.border.size = 2,	
				panel.width = .8)))

edPov$points <- 0	

# publication figure 1b
lmplot (stat.data = edPov, map.data = statePolys,
	panel.types = c('dot',  'labels', 'dot', 'dot', 'map'),
	panel.data = list('points', 'state', 'pov', 'ed', NA),
	map.link = c('StateAb','ID'),
	ord.by = 'pov', 
	grouping = 5, 
	median.row = TRUE, 
	
	plot.height = 9, 
	
	colors = c('red','orange','green','blue','purple'),
	map.color2 = 'lightgray', 

	panel.att = list(list(1, panel.width = .15, point.type = 20,
					graph.border.color = 'white',
					xaxis.text.display = FALSE, xaxis.line.display = FALSE,
					graph.grid.major = FALSE),
	
				list(2, header = 'States', panel.width = .8, 
					align = 'left', text.size = .9),

				list(3, header = 'Percent Living Below\nPoverty Level',
					graph.bgcolor = 'lightgray', point.size = 1.5,
					xaxis.ticks = list(10,15,20), 
					xaxis.labels = list(10,15,20),
					xaxis.title = 'Percent'),

				list(4, header = 'Percent Adults With\n4+ Years of College',
					graph.bgcolor = 'lightgray', point.size = 1.5,
					xaxis.ticks = list(20,30,40), 
					xaxis.labels = list(20,30,40), 
					xaxis.title = 'Percent'),
	
				list(5, header = 'Light Gray Means\nHighlighted Above', 
					inactive.border.color = gray(.7), inactive.border.size = 2, 
					panel.width = .8)))

# publication figure 1c
myPlot <- lmplot(stat.data = edPov, map.data = statePolys,
	panel.types = c('map', 'dot',  'labels', 'dot', 'dot'),
	panel.data = list(NA, 'points', 'state', 'pov', 'ed'),
	map.link = c('StateAb','ID'),
	ord.by = 'pov', 
	grouping = 5, 
	median.row = TRUE,

	plot.height = 9, 
	
	colors = c('red','orange','green','blue','purple'),
	map.color2 = 'lightgray', 

	panel.att = list(list(2, panel.width = .15, point.type = 20,
				graph.border.color = 'white',
				xaxis.text.display = FALSE, xaxis.line.display = FALSE,
				graph.grid.major = FALSE),

			list(3, header = 'States', panel.width = .8, 
				align = 'left', text.size = .9),

			list(4, header = 'Percent Living Below\nPoverty Level',
				graph.bgcolor = 'lightgray', point.size = 1.5,
				xaxis.ticks = list(10,15,20), xaxis.labels = list(10,15,20),
				xaxis.title = 'Percent'),

			list(5, header = 'Percent Adults With\n4+ Years of College',
				graph.bgcolor = 'lightgray', point.size = 1.5,
				xaxis.ticks = list(20,30,40), 
				xaxis.labels = list(20,30,40), 
				xaxis.title = 'Percent'),
	
			list(1, header = 'Light Gray Means\nHighlighted Above', 
				inactive.border.color = gray(.7), inactive.border.size = 2, 
				panel.width = .8)))

print(myPlot, name = 'myExhibit.tiff', res = 300)

## End(Not run)