Data set that contains pre calculated sample sizes with the Bayesian ANOVA for 2*2 designs. 1000 iterations per conditions were used. The maximum sample size per group was set to 500. The data set contains the input and output values of these calculations.
Format
A dataframe with 5550 rows and 17 variables:
- filename
character, The name of the file.
- 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.
- 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.
- thresh
numeric, The threshold of the Bayes Factor which is fixed to 10 in the ShinyApp.
- prior_location
numeric, The location of the Cauchy prior which is fixed to 0.
- sigma
numeric, The standard deviation of the DV for the groups.
Remark
If none of the pre calculated values suit your sample size
determination plan, than feel free the calculations with the R package
by using the ssp_anova_bf function.