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Last data update: 2014.03.03

R: dplot

dplot

R Documentation

dplot

Description

Computing and plotting the distance between individuals and group judgement. Distances are computed using classical multidimensional scaling (MDS) approach.

Usage

dplot(srcfile, fontsize = 15, xcex = 10, ycex = 10, lcex = 5,
  hjust = 0.5, vjust = 1, xlab = "Coordinate 1", ylab = "Coordinate 2",
  main = NULL)

Arguments

`srcfile`	a numeric matrix of individual and group priorities.
`fontsize`	the font size of the plot title, and x and y axis labels. The default value is 15.
`xcex,ycex`	the font size of the x and y axis, respectively. The default values is 10.
`lcex`	the font size of point labels in dplot
`hjust,vjust`	the horizontal and vertical justification of point labels, respectively.
`xlab,ylab`	the label of the x and y axis, respectively.
`main`	the plot title

Value

An object created by 'ggplot'.

Author(s)

Daryanaz Dargahi

References

J.C. Gower. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, 53(3/4):pp. 325-338, 1966.

Examples

mat <- matrix(nrow = 5, ncol = 4, data = NA)
rownames(mat) <- c('Ind1','Ind2','Ind3', 'Ind4' ,'Group judgement')
colnames(mat) <- c('Tumor_expression','Normal_expression','Frequency','Epitopes')
mat[1,] <- c(0.4915181, 0.3058879, 0.12487821, 0.07771583)
mat[2,] <- c(0.3060687, 0.4949012, 0.12868606, 0.07034399)
mat[3,] <- c(0.4627138, 0.3271881, 0.13574662, 0.07435149)
mat[4,] <- c(0.6208484, 0.2414021, 0.07368481, 0.06406465)
mat[5,] <- c(0.4697298, 0.3406738, 0.11600194, 0.07359445)

dplot(mat, xlab = 'Coordinate 1', ylab = 'Coordinate 2', main = 'Distance plot')

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Prize)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/Prize/dplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dplot
> ### Title: dplot
> ### Aliases: dplot
> 
> ### ** Examples
> 
> mat <- matrix(nrow = 5, ncol = 4, data = NA)
> rownames(mat) <- c('Ind1','Ind2','Ind3', 'Ind4' ,'Group judgement')
> colnames(mat) <- c('Tumor_expression','Normal_expression','Frequency','Epitopes')
> mat[1,] <- c(0.4915181, 0.3058879, 0.12487821, 0.07771583)
> mat[2,] <- c(0.3060687, 0.4949012, 0.12868606, 0.07034399)
> mat[3,] <- c(0.4627138, 0.3271881, 0.13574662, 0.07435149)
> mat[4,] <- c(0.6208484, 0.2414021, 0.07368481, 0.06406465)
> mat[5,] <- c(0.4697298, 0.3406738, 0.11600194, 0.07359445)
> 
> dplot(mat, xlab = 'Coordinate 1', ylab = 'Coordinate 2', main = 'Distance plot')
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>