map.select: Map select modalities and individuals

In soc.ca: Specific Correspondence Analysis for the Social Sciences

Description

Creates a map of selected modalities or individuals

Usage

map.select(
  object,
  dim = c(1, 2),
  ctr.dim = 1,
  list.mod = NULL,
  list.sup = NULL,
  list.ind = NULL,
  point.shape = "variable",
  point.alpha = 0.8,
  point.fill = "whitesmoke",
  point.color = "black",
  point.size = "freq",
  label = TRUE,
  label.repel = FALSE,
  label.alpha = 0.8,
  label.color = "black",
  label.size = 4,
  label.fill = NULL,
  map.title = "select",
  labelx = "default",
  labely = "default",
  legend = NULL,
  ...
)

Arguments

object	a soc.ca class object as created by soc.mca and soc.csa
dim	the dimensions in the order they are to be plotted. The first number defines the horizontal axis and the second number defines the vertical axis.
ctr.dim	the dimensions of the contribution values
list.mod	a numerical vector indicating which active modalities to plot. It may also be a logical vector of the same length and order as the modalities in object$names.mod.
list.sup	a numerical vector indicating which supplementary modalities to plot. It may also be a logical vector of the same length and order as the modalities in object$names.sup.
list.ind	a numerical vector indicating which individuals to plot. It may also be a logical vector of the same length and order as the modalities in object$names.ind.
point.shape	a numerical value defining the shape of the points. If set to its default, the default scale is used. It may be mapped to a variable with a suitable length and order.
point.alpha	defines the alpha of the points. Values range from 0 to 1. It may be mapped to a variable with a suitable length and order.
point.fill	defines the fill color of the points. It may be mapped to a variable with a suitable length and order.
point.color	defines the color of the points. It may be mapped to a variable with a suitable length and order. See colors for some of the valid values.
point.size	a numerical value defining the size of the points. If set to its default, the size is determined by the frequency of each modality. It may be defined by a variable with a suitable length.
label	if TRUE each point is assigned its label, defined in the soc.ca object. See assign.label and add.to.label for ways to alter the labels.
label.repel	if TRUE overlapping labels are rearranged, see geom_text_repel or geom_label_repel.
label.alpha	defines the alpha of the labels. Values range from 0 to 1. It may be mapped to a variable with a suitable length and order.
label.color	defines the color of the labels. It may be mapped to a variable with a suitable length and order. See colors for some of the valid values.
label.size	defines the size of the labels. It may be mapped to a variable with a suitable length and order.
label.fill	defines the color of the box behind the labels. It may be mapped to a variable with a suitable length and order. This only works if label.repel is TRUE. See geom_label_repel.
map.title	the title of the map. If set to its default the standard title is used.
labelx	the label of the horizontal axis. If set to NULL a standard label is used.
labely	the label of the vertical axis. If set to NULL a standard label is used.
legend	if set to TRUE a legend is provided. Change the legend with the guides, theme and guide_legend functions from the ggplot2 package.
...	further arguments are currently ignored.

Examples

example(soc.ca)
map.select(result, map.title = "Map of the first ten modalities", list.mod = 1:10)
select   <- active[, 3]
select   <- select == levels(select)[2]
map.select(result, map.title = "Map of all individuals sharing a particular value",
 list.ind = select, point.size = 3)
map.select(result, map.title = "Map of both select individuals and modalities",
 list.ind = select, list.mod = 1:10)

Example output

Loading required package: ggplot2

soc.ca> data(taste)

soc.ca> # Create a data frame of factors containing all the active variables 
soc.ca> taste          <- taste[which(taste$Isup == 'Active'), ]

soc.ca> attach(taste)

soc.ca> active         <- data.frame(TV, Film, Art, Eat)

soc.ca> sup            <- data.frame(Gender, Age, Income)

soc.ca> detach(taste)

soc.ca> # Runs the analysis
soc.ca> result         <- soc.mca(active, sup)

soc.ca documentation built on Sept. 5, 2021, 5:21 p.m.