Simulating Data with Purrr
Often when trying to solve a problem with data we first need to build some simulated data to see if our idea is even possible. For example, you may want to test models with data that have known differences, to see if the models are working correctly.
In this exercise, you will see how this works in purrr by simulating data for two populations, a and b, from the sites: "north", "east", and "west". The two populations will be randomly drawn from a normal distribution, with different means and standard deviations.
Este exercício faz parte do curso
Foundations of Functional Programming with purrr
Instruções do exercício
- Create a list of site names, "north", "east", and "west".
- Then use
map()to create a list of data frames with three columns, the first column issites.- The second is population
a, which has ameanof 5, a sample sizenof 200, and ansdof (5/2). - The third is population
b, which has ameanof 200, a sample sizenof 200, and ansdof 15.
- The second is population
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# List of sites north, east, and west
sites <- list(___)
# Create a list of data frames, each with a years, a, and b column
list_of_df <- map(___,
~___(___ = .x,
a = rnorm(mean = ___, n = ___, sd = ___),
b = rnorm(mean = ___, n = ___, sd = ___)))
list_of_df