maxdrohde

library(tidyverse)
library(gganimate)
library(magick)

# Number of Bern trials to run
n_trials <- 100

# Grid for plotting posterior
x <- seq(0,1, length.out = 500)

maxdrohde

library(tidyverse)
library(glue)
library(gganimate)


grid <- seq(-10,5,length.out=1e4)
y <- (grid + 2)^2 + 3

plot_data <- tibble(grid, y)

maxdrohde

library(tidyverse)
library(gganimate)
set.seed(8)

grid <- seq(-5,12, by=0.01)

x <- seq(-3,9, by=1)
y <- x^2 + rnorm(n=length(x), sd=30)
data <-tibble(x=x, y=y)

maxdrohde

library(tidyverse)
library(gganimate)

sample_size <- seq(5, 30, by=5)

create_data <- function(sample_size){
  tibble(ss=sample_size, n=1:1e6, x=map(n, ~runif(sample_size))) %>%
  mutate(mean = map_dbl(x, mean),
         median = map_dbl(x, median),
         range = map_dbl(x, ~(max(.x) - min(.x))/2)) %>%

maxdrohde

library(tidyverse)
library(gganimate)

# Grid for plotting
x <- seq(0,10, length.out = 1e3)

# Sample Sizes
n <- 1:20

# Create the densities at each value of the grid