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),"%"))