maxdrohde

library(MASS)
library(plotrix)
library(tidyverse)
library(gganimate)

####################################
## Example 1 (Data by Group with means and estimated means)
####################################

## Number of groups, observations per group

maxdrohde

library(ggplot2)
library(patchwork) # For composing plots
# See https://patchwork.data-imaginist.com/

library(ggtext)    # For formatting text using markdown syntax
# See https://wilkelab.org/ggtext/

# Make a ggplot histogram from a vector of data
gg_hist <- function(x){
  data.frame(x) |>

maxdrohde

# Display data frame as a nicely formatted and interactive GT table
display <- function(df){
  df |>
    gt::gt() |>
    gt::opt_interactive(use_search = TRUE,
                        use_compact_mode = TRUE,
                        use_text_wrapping = TRUE) |>
    gt::opt_stylize(style = 2) |>
    gt::cols_width(everything() ~ px(250))
}

maxdrohde

library(furrr)

x <- numeric()

for (i in 1:20) {
  future::plan(multisession, workers = i)
  result <- system.time({
    r <- furrr::future_map(1:100,
                           ~ sum(rnorm(1e7)),
                           .options = furrr_options(seed=TRUE))

maxdrohde

# Load packages
library(tidyverse)
library(gganimate)
library(tidymodels)

set.seed(2021)

# Generate true relationship between x and y as piecewise
piecewise <- function(x) {
  case_when(