PowerParams-class
PowerParams-class.RdObjects of PowerParams class store information required for sample size estimation for given data
Arguments
- power_curve
1: Power simulation over a range of sample sizes or levels. 0: Power calculation over a single sample size or a level.
- nsimn
The number of simulations to run. Default=1000
- target_columns
Name of the experimental parameters to use for the power calculation.
- levels
1: Amplify the number of corresponding target parameter. 0: Amplify the number of samples from the corresponding target parameter, ex) If target_columns = c("experiment","cell_line") and if you want to expand the number of experiment and sample more cells from each cell line, set levels = c(1,0).
- max_size
Maximum levels or sample sizes to test. Default: the current level or the current sample size x 5. ex) If max_levels = c(10,5), it will test upto 10 experiments and 5 cell lines.
- breaks
Levels /sample sizes of the variable to be specified along the power curve. Default: max(1, round( the number of current levels / 5 ))
- effect_size
If you know the effect size of your condition variable, the effect size can be provided as a parameter. If the effect size is not provided, it will be estimated from your data
- alpha
Threshold for Type I error
- ICC
Intra-Class Coefficients (ICC) for each parameter