The goal of mcpwr is to perform Monte Carlo power calculations
You can install the development version of mcpwr from GitHub with:
# install.packages("devtools")
devtools::install_github("TJMurphy/mcpwr")The poisdm function is a datamaker to simulate groups of Poisson-distributed count data. The plot argument allows users to print a histogram and jitterplot of the output.
library(mcpwr)
# generate data and graphs
# for group 1 (group of 40 measurements with a mean of 10)
# and group 2 (group of 50 with measurements with a mean of 12)
poisdm(c(40, 50), c(10, 12), c("group1", "group2"), TRUE)
#> [1] "input"
#> groupnames n lambda
#> 1 group1 40 10
#> 2 group2 50 12