| alternative = "two.sided") | |
| ## CALCULATE DETECTABLE MEAN DIFFERENCE IN CALVING SUCCESS | |
| **mean_diff** = SD_within * power_test_results$d | |
| ## COMPARE DIFFERENCE IN MEANS TO NONSPONGER CALVING SUCCESS | |
| percent_increase=mean_diff/mean_CS_nonspongers | |
| ## RETURN RESULTS | |
| print("TWO-SIDED_TEST:\") | |
| print(paste("Difference_inmeans: ", mean_diff, " _Percent_increase: ", 100*round(percent_increase, digits=2,"%))) | |
| ### PERFORM POWER ANALYSIS FOR A ONE-SIDED TEST | |
| ## RUN POWER ANALYSIS | |
| power_test_results=pwr.t2n.test(nl=n_nonspongers, n2=n_spongers, d=NULL, sig.level = 0.05, power = 0.8, | |
| alternative = "greater") | |
| ## CALCULATE DETECTABLE MEAN DIFFERENCE IN CALVING SUCCESS | |
| **mean_diff** = SD_within * power_test_results$d | |
| ## COMPARE DIFFERENCE IN MEANS TO NONSPONGER CALVING SUCCESS | |
| percent_increase=mean_diff/mean_CS_nonspongers | |
| ## RETURN RESULTS | |
| print("ONE-SIDED_TEST:\") | |
| print(paste("Difference_inmeans: ", mean_diff, " _Percent_increase: ", 100*round(percent_increase, digits=2),"%")) |