rainbowplot: rainbowplot

In Prize: Prize: an R package for prioritization estimation based on analytic hierarchy process

Description

Plotting prioritized alternatives in a color-coded barplot, where a color is assigned to each criteria/subcriteria.

Usage

rainbowplot(srcfile, range = NULL, fontsize = 10, xcex = 4, ycex = 8,
  color = "rainbow", xlab = "Total priority score", ylab = "Alternative",
  digit = 3, dist = 0.02, main = NULL)

Arguments

srcfile	a numeric matrix with alternatives on the rows and criteria/subcriteria on the columns. alternative's AHP weights for each criteria, and the sum of each row on the last column (see example below).
range	specifies which alternatives to plot. Either provide a range (e.g. 1:5) or a vector of numbers (e.g. c(2,5,12,20)). if range is NULL then all alternatives will be plotted. The default value is NULL.
fontsize	the font size of the plot title, x and y axis labels, and legend. The default value is 10.
xcex	the font size of the labels on the bars. The default values is 4.
ycex	the font size of the y axis. The default values is 8.
color	the color palette to fill bars. Either provide a vector of n colors, where n is the number of criteria/subcriteria, or choose from the following palettes 'rainbow, heat, terrain, topo, cm'. The default value is rainbow.
xlab,ylab	the label of the x and y axis, respectively.
digit	the number of digits after decimal point to be shown on the bars. The default value is 3.
dist	the distance between the bar and its lable. The default value is 0.02.
main	the plot title

Value

An object created by 'ggplot'.

Author(s)

Daryanaz Dargahi

Examples

mat <- matrix(c(0.007,0.289,0.033,0.118,0.447, 0.015,0.155,0.015,0.088,0.275, 0.048,0.078,0.007,0.044,0.177, 0.039,0.042,0.003,0.017,0.101),
                nrow = 4, ncol = 5, byrow = TRUE, dimnames = list(c('CA9','MUC16','CD70','MUC1'), c('Tumor_expression','Normal_expression','Style','Frequency','Epitopes')))
rainbowplot(mat, range = NULL, xlab = 'Total priority score' , ylab = 'Alternative', dist = 0.04)

Example output

Prize documentation built on April 28, 2020, 7:48 p.m.