How to visualize data from for loop using ggplot2

[rhonano]

Im trying to plot the data from all 250 loops into one figure

The loop works on its own but i only see data from the first loop when i use ggplot. Do i need to include ggplot into the loop? Or do i maybe need to save the output from the loop into a vector/list? (output is a 2x131 data frame)

for(i in seq(250)){
  sim_data<- mvrnorm(n=100, mu, sigma) 
  mean1<- colMeans(sim_data) 
  cov <- cov(sim_data) 
  output <- data.frame(compute_efficient_frontier(cov,mean)) 
}
ggplot(output, aes(x = sd, y = mu))+
geom_point()

[lars]

Hello rhonano,

It's difficult to understand what your code is doing as it appears you're using functions mvrnorm and compute_efficient_frontier which seems to be self-defined or part from an unknown package.

Could you please provide a reprex as explained below, so that we can assist you better?

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.2…

[nirgrahamuk]

#just one
  x = sample(1:10000,100,replace=TRUE)
  y= x*sample(1:250,1)
 plot(data.frame(x,y))

      
#many
output <- data.frame(x=NULL,y=NULL)
for(i in seq(250)){
 x = sample(1:10000,100,replace=TRUE)
 y= x*sample(1:250,1)
  output <- rbind(output,data.frame(x,y) )
}

plot(output)