sjPlot (version 1.8.3)

sjp.gpt: Plot grouped proportional tables

Description

Plot grouped proportional crosstables, where the proportion of each level of x for the highest category in y is plotted, for each subgroup of groups.

Usage

sjp.gpt(x, y, groups, geom.colors = "Set1", geom.size = 4,
  shape.fill.color = "#f0f0f0", shapes = c(15, 16, 17, 18, 21, 22, 23, 24,
  25, 7, 8, 9, 10, 12), title = NULL, axisLabels = NULL,
  axisTitle.x = NULL, axisTitle.y = NULL, legendTitle = NULL,
  legendLabels = NULL, breakTitleAt = 50, breakLabelsAt = 15,
  breakLegendTitleAt = 20, breakLegendLabelsAt = 20, axisLimits = NULL,
  gridBreaksAt = NULL, showTotal = TRUE, annotateTotal = TRUE,
  showP = TRUE, showN = TRUE, hideLegend = FALSE, printPlot = TRUE)

Value

(Insisibily) returns the ggplot-object with the complete plot (plot) as well as the data frame that was used for setting up the ggplot-object (df).

Examples

library(sjmisc)
data(efc)

# the proportion of dependency levels in female
# elderly, for each family carer's relationship
# to elderly
sjp.gpt(efc$e42dep, efc$e16sex, efc$e15relat)

# proportion of educational levels in highest
# dependency category of elderly, for different
# care levels
sjp.gpt(efc$c172code, efc$e42dep, efc$n4pstu)