Transform the R language code into Javascript for use with highcharts.js

I am in search of a way to translate an R Script into JavaScript for the purpose of dynamically altering a HighCharts.js plot. However, I am unsure how to go about creating a JavaScript function that can replicate the functionality of the rnorm() function in R. Any guidance on approaching this type of challenge would be greatly valued.

Here is the R code:

## generate random normal variables with accurate mean and standard deviations 

RHT <- round(rnorm(50, mean= HTot, sd= HtX))
RAT <- round(rnorm(50, mean= ATot , sd= AtX))

## combine data 
ranScor <- cbind(RHT,RAT)
ranScor <- data.frame(ranScor)

### create a simple line graph

plot(RHT,type="b", col= "blue", lwd=1, ylim=c(min(ranScor),max(ranScor)),xlab="Game Simulations",ylab="Team Score", main="Random Score Generator", sub="Indianapolis Colts @ Denver Broncos")
lines(RAT, type="b", col="red",lwd=1)
legend("topleft",legend=c("HomeTeam","AwayTeam"),lty=1,col=c("blue","red"),lwd=2,cex=.7)

Answer №1

Have you considered utilizing the normal distribution equation for this problem? You can create your x and y coordinates and illustrate the normal curve:

function yValue(x, standardDeviation, average) {
   return Math.pow(Math.E,-Math.pow(x-average,2)/(2*Math.pow(standardDeviation, 2)))/(standardDeviation*Math.sqrt(2*Math.PI));
}

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