stat_pareto: Generate a Pareto Plot with ggplot

In kenithgrey/rQC: Quality Control Charts for 'ggplot'

Description

stat function to create ggplot Pareto chart

Usage

stat_pareto(mapping = NULL, data = NULL, geom = "point",
  position = "identity", show.legend = NA, inherit.aes = TRUE,
  group = 1, na.rm = FALSE, point.color = "black", point.size = 2,
  line.color = "black", line.size = 0.5, bars.fill = c("red",
  "white"), ...)

Arguments

mapping	Set of aesthetic mappings created by aes() or aes_(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
data	The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot(). A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data.
geom	The geometric object to use display the data
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
show.legend	logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().
group	defines grouping for variable for pareto plot, default and suggested is 1.
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.
point.color	color, used to define point color of cumulative percentage line
point.size	number, used to define point size of cumulative percentage line
line.color	color, used to define line color of cumulative percentage line
line.size	color, used to define line weight of cumulative percentage line
bars.fill	character vector length 2, start and end colors for pareto bars.
...	Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

Value

Pareto plot.

Examples

############################
#  Example 1: Pareto Plot  #
############################

# Load Libraries ----------------------------------------------------------
 require(ggQC)
 require(ggplot2)

# Setup Data --------------------------------------------------------------
 df <- data.frame(
                  x = letters[1:10],
                  y = as.integer(runif(n = 10, min = 0, max=100))
                 )

# Render Pareto Plot ------------------------------------------------------


ggplot(df, aes(x=x, y=y)) +
 stat_pareto(point.color = "red",
             point.size = 3,
             line.color = "black",
             #size.line = 1,
             bars.fill = c("blue", "orange"),
 )

kenithgrey/rQC documentation built on May 20, 2019, 9:04 a.m.