Install the development version using the devtools package:
devtools::install_github("jaredhuling/simulate")or by cloning and building using R CMD INSTALL
Load the package:
library(simulate)Simulate some data!
set.seed(1)
n.obs <- 100
x <- gen_covariates(n.obs, p.contin = 5, p.binary = 5, bin.prob = 0.25)
head(x)## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] -0.3462054 0 0.19671927 0 1.090017 0 0.1220082 0
## [2,] -0.2855640 0 -0.94962126 0 1.381942 0 -0.2009052 0
## [3,] -1.5147703 0 1.22075585 0 1.219996 1 0.6142724 0
## [4,] -0.5552653 1 -1.13214016 0 -1.565413 0 -0.9955410 1
## [5,] -0.0633063 0 0.01139449 0 -1.538331 0 -0.6034691 1
## [6,] -0.1249445 0 2.33351270 0 1.740155 1 -0.5123285 1
## [,9] [,10]
## [1,] 0.9467321 0
## [2,] -0.9539595 0
## [3,] 0.7716022 1
## [4,] -0.9764151 0
## [5,] 1.7194675 0
## [6,] -1.4200947 1
Simulate random coefficients:
beta <- gen_coefs(10, nonzero.frac = 0.5, max.effect.size = 0.5,
min.effect.size = 0.05)
beta## [1] -0.2227978 0.0000000 0.0000000 0.0000000 0.0000000 0.3864677
## [7] 0.3251893 0.3631059 -0.0942763 0.0000000