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Data set that contains pre calculated sample sizes with the ROPE method for 2*2 designs. The data set contains the input and output values of these calculations.

Usage

rope_anova_data

Format

A dataframe with 5550 rows and 17 variables:

batch_id

numeric, unique id of batch in which the calculation was run parallel

calculation_id

numeric, unique id of calculation within the batch

n1

numeric, The determined sample size per group.

tpr_out

numeric, The desired long-run probability of the HDI fully falling inside the ROPE, given the means.

tpr_in

numeric, The desired long-run probability of the HDI fully falling inside the ROPE, given the means.

prior_scale

numeric, The scale of the Cauchy prior which is fixed to 1 / sqrt(2) in the ShinyApp.

eq_band

numeric, The margin of the standardized ROPE interval.

error_message

character, The error message in case of an error.

result_not_null

logical, Whether the precalculation led to an error or not.

effect

character, The effect of interest (main effect A, main effect B).

mu

numeric, The mean of the DV for each group.

ci

numeric, The percentage of the HDI which is fixed to 0.95 in the ShinyApp.

iter

numeric, The number of iterations to calculate the TPR which is fixed to 1000 in the ShinyApp.

post_iter

numeric, The number of iterations to estimate the posterior distribution which is fixed to 1000 in the ShinyApp.

max_n

numeric, The maximum group size which is fixed to 500 in the ShinyApp.

prior_location

numeric, The location of the Cauchy prior which is fixed to 0.

sigma

numeric, The location of the Cauchy prior which is fixed to 0.

Remark

If none of the precalculated values suit your sample size determination plan, than feel free the calculations with the R package by using the ssp_anova_rope function.