simulate_data: simulate_data
In lxfjwj/lmpackage: lmpackage

Description Usage Arguments Details Value Examples

View source: R/simulate_data.R

function to generate simulation data for test

simulate_data(
  datasize1,
  datasize2,
  error_range,
  data_range,
  offsets_range,
  weights_range,
  coefficients
)

`datasize1`	a integer represents the amounts of every variables .
`datasize2`	a integer represents the numbers of variables.
`error_range`	the range of errors of outcomes. This should be NULL or a numeric vector of size datasize1
`data_range`	a datasize2*2 matrix: every row represents the range of every variable.
`offsets_range`	the range of expected offsets. This should be NULL or a numeric vector of size datasize1.
`weights_range`	the range of expected weights. This should be NULL or a numeric vector of size datasize1.
`coefficients`	a numeric vector with length datasize1: the simulated coefficient for every variable.

you can use this function to create random datasets for testing.

'simulate' returns a dataframe of results containing the following components:

V1: the simulated Outcome. It should be a numeric vector with length of datasize1

V2, V3,...: the simulated Predictors. It should be a numeric vector with length of datasize1

(weights): If not NULL, the simulated weights. It should be a numeric vector with length of datasize1

(offsets): If not NULL, the simulated offsets. It should be a numeric vector with length of datasize1

data_range = matrix(c(0,0,0,1,1,1),3,2)
offsets_range = c(0,1)
weights_range = c(0,1)
coefficients = c(1,2,3)
data = simulate_data(10, 3, error_range= c(0,1), data_range, offsets_range, weights_range,coefficients)