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January 9, 2017 15:07
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likelihood of true positive and false positive as a function of power and alpha
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#Create single plot for graph---- | |
power <- seq(0.01,1,0.01) | |
alpha <- seq(0.01,1,0.01) | |
pH0 <- 0.5 | |
tp<-((1-pH0)*power) | |
fp<-((pH0)*alpha) | |
likelihood_ratio<-outer(tp, fp, "/") | |
#Create color shading | |
nrz<-nrow (likelihood_ratio) | |
ncz<-ncol(likelihood_ratio) | |
jet.colors<-colorRampPalette(c("yellow","red")) | |
nbcol<-100 | |
color<-jet.colors(nbcol) | |
zfacet<-likelihood_ratio[-1, -1]+likelihood_ratio[-1,-ncz]+likelihood_ratio[-nrz,-1]+likelihood_ratio[-nrz,-ncz] | |
facetcol<-cut(zfacet,nbcol) | |
#Save plot---- | |
png(file = "LRplot.png", width = 4000, height = 4000, res = 500) | |
persp(x=power, y=alpha, z=likelihood_ratio, theta = 130, phi = 0, col = color[facetcol], ticktype = "detailed", lwd=0.2) | |
dev.off() | |
#Create 360 plots for animated .gif (to combine in gif application)---- | |
library(stringr) | |
#loop through plots | |
for(i in 0:360){ | |
currFile <- paste(getwd(), "/plot_", str_pad(i, 3, pad = "0"), ".png", sep = "") | |
png(file = currFile, width = 1200, height = 1000, res = 200) | |
x <- seq(0,1,0.01) | |
y <- x | |
power <- seq(0.01,1,0.01) | |
alpha <- seq(0.01,1,0.01) | |
pH0 <- 0.5 | |
tp<-((1-pH0)*power) | |
fp<-((pH0)*alpha) | |
likelihood_ratio<-outer(tp, fp, "/") | |
persp(x=power, y=alpha, z=likelihood_ratio, theta = i, phi = 10, col = color[facetcol], ticktype = "detailed", lwd=0.2) | |
dev.off() | |
} | |
#likelihood ratio for some example, e.g., a range of power, alpha = 0.05 | |
power<-seq(1, 0.1, -0.1) | |
alpha<-0.05 | |
pH0 <- 0.5 | |
tp<-((1-pH0)*power) | |
fp<-((pH0)*alpha) | |
tp/fp | |
#likelihood ratio for some example, e.g., a range of alpha levels, power = 0.8 | |
power<-0.8 | |
alpha<-seq(0.05, 0.5, 0.05) | |
pH0 <- 0.5 | |
tp<-((1-pH0)*power) | |
fp<-((pH0)*alpha) | |
tp/fp |
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