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),"%"))