rainbowplot: rainbowplot

Description Usage Arguments Value Author(s) Examples

View source: R/rainbowplot.R

Description

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

Usage

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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

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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)

Prize documentation built on May 31, 2017, 11:09 a.m.