Generate data

Description

Generate data from a single row in the design input (see runSimulation).

Usage

Generate(condition, fixed_objects = NULL)

Arguments

Value

returns a single object containing the data to be analyzed (usually a vector, matrix, or data.frame), or list)

See Also

add_missing, Attach

Examples

## Not run: 

mygenerate <- function(condition, fixed_objects = NULL){
    N1 <- condition$sample_sizes_group1
    N2 <- condition$sample_sizes_group2
    sd <- condition$standard_deviations

    group1 <- rnorm(N1)
    group2 <- rnorm(N2, sd=sd)
    dat <- data.frame(group = c(rep('g1', N1), rep('g2', N2)),
                      DV = c(group1, group2))
    # just a silly example of a simulated parameter
    pars <- list(random_number = rnorm(1))

    list(dat=dat, parameters=pars)
}

# similar to above, but using the Attach() function instead of indexing
mygenerate <- function(condition, fixed_objects = NULL){
    Attach(condition)
    N1 <- sample_sizes_group1
    N2 <- sample_sizes_group2
    sd <- standard_deviations

    group1 <- rnorm(N1)
    group2 <- rnorm(N2, sd=sd)
    dat <- data.frame(group = c(rep('g1', N1), rep('g2', N2)),
                      DV = c(group1, group2))
    dat
}

mygenerate2 <- function(condition, fixed_objects = NULL){
    mu <- sample(c(-1,0,1), 1)
    dat <- rnorm(100, mu)
    dat        #return simple vector (discard mu information)
}

mygenerate3 <- function(condition, fixed_objects = NULL){
    mu <- sample(c(-1,0,1), 1)
    dat <- data.frame(DV = rnorm(100, mu))
    dat
}


## End(Not run)

Results