View source: R/simulate_values.R
simulate_values | R Documentation |
This function simulates values of 4 groups by 2 conditions
simulate_values(
population_size,
mean_group1,
mean_group2,
sd_group1,
sd_group2,
interaction_difference,
independent_var_name_1,
independent_var_name_2,
dependent_var_name
)
population_size |
Size of the population you simulate |
mean_group1 |
mean of first condition |
mean_group2 |
mean of second condition |
sd_group1 |
sd of first condition |
sd_group2 |
sd of second condition |
interaction_difference |
the interaction in y values |
independent_var_name_1 |
name of variable 1 |
independent_var_name_2 |
name of variable 2 |
dependent_var_name |
name of dependent variable |
This function is the first step in the power simulation pipeline
Returns a df showing the values of the population in all the conditions
## Not run:
df =
simulate_values(population_size=10000,
mean_group1=0.54,
mean_group2=0.51,
sd_group1=0.04,
sd_group2=0.02,
interaction_difference=0.02,
independent_var_name_1 = "reward",
independent_var_name_2 = "load",
dependent_var_name = "stay_key")
## End(Not run)
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