This object was produced by running the function
get_power_threshold() over a wide range of parameter combinations.
This data.frame contains the results of these simulations attached to the
parameter values used in simulation. The most obvious use of this object is
in constructing power curves over a range of sample sizes (see
?power_curve()).
data(df_sim)A data.frame of 547200 rows and 19 columns. The first 13 columns give parameter combinations that were used in simulating and analysing data. The "reps" column gives the number of times simulation was repeated, and "seed" gives the value of the seed that was used at the start of this loop (to ensure reproducibility). "prev_thresh" gives the prevalence threshold used in hypothesis testing. The final three columns give the estimates power over simulations along with lower and upper 95% CIs calculated using the method of Clopper and Pearson (1934).
data(df_sim)