\label{app:Output}
[1] "Shapiro-Wilks results for time data: "
Shapiro-Wilk normality test
data: times.10
W = 0.8473, p-value = 0.03938
Shapiro-Wilk normality test
data: times.20
W = 0.909, p-value = 0.2372
Shapiro-Wilk normality test
data: times.30
W = 0.9464, p-value = 0.6504
F test to compare two variances
data: times.10 and times.20
F = 0.5942, num df = 10, denom df = 10, p-value = 0.4247
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.1598802 2.2086721
sample estimates:
ratio of variances
0.5942415
F test to compare two variances
data: times.10 and times.30
F = 0.7839, num df = 10, denom df = 8, p-value = 0.7044
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.182503 3.021747
sample estimates:
ratio of variances
0.7838735
F test to compare two variances
data: times.20 and times.30
F = 1.3191, num df = 10, denom df = 8, p-value = 0.7086
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.3071192 5.0850482
sample estimates:
ratio of variances
1.319116
Paired t-test
data: times.10 and times.20
t = -3.6879, df = 10, p-value = 0.004191
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.8491707 -0.4562838
sample estimates:
mean of the differences
-1.152727
Two Sample t-test
data: times.10 and times.30
t = -2.2649, df = 18, p-value = 0.0361
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-4.8052187 -0.1804378
sample estimates:
mean of x mean of y
4.012727 6.505556
Two Sample t-test
data: times.20 and times.30
t = -1.0526, df = 18, p-value = 0.3064
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-4.014821 1.334619
sample estimates:
mean of x mean of y
5.165455 6.505556
[1] "Shapiro-Wilks results for accuracy data:"
Shapiro-Wilk normality test
data: accuracy.10
W = 0.8859, p-value = 0.1236
Shapiro-Wilk normality test
data: accuracy.20
W = 0.9201, p-value = 0.3195
Shapiro-Wilk normality test
data: accuracy.30
W = 0.925, p-value = 0.4352
[1] "F-test for homogeneity of variances:"
F test to compare two variances
data: accuracy.10 and accuracy.20
F = 0.1595, num df = 10, denom df = 10, p-value = 0.007655
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.04292146 0.59294030
sample estimates:
ratio of variances
0.1595301
F test to compare two variances
data: accuracy.10 and accuracy.30
F = 0.1163, num df = 10, denom df = 8, p-value = 0.002644
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.02708321 0.44842343
sample estimates:
ratio of variances
0.1163258
F test to compare two variances
data: accuracy.20 and accuracy.30
F = 0.7292, num df = 10, denom df = 8, p-value = 0.6278
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.1697686 2.8109012
sample estimates:
ratio of variances
0.7291779
Paired t-test
data: accuracy.10 and accuracy.20
t = -4.4675, df = 10, p-value = 0.001202
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-53.46421 -17.88125
sample estimates:
mean of the differences
-35.67273
Welch Two Sample t-test
data: accuracy.10 and accuracy.30
t = -5.918, df = 9.526, p-value = 0.0001789
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-93.45811 -42.08128
sample estimates:
mean of x mean of y
23.76364 91.53333
Two Sample t-test
data: accuracy.20 and accuracy.30
t = -2.3601, df = 18, p-value = 0.02976
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-60.668859 -3.525081
sample estimates:
mean of x mean of y
59.43636 91.53333
[1] "Accuracy, 10 m:"
[1] "Mean: 23.763636"
[1] "variance: 125.358545"
[1] "Accuracy, 20 m:"
[1] "Mean: 59.436364"
[1] "variance: 785.798545"
[1] "Accuracy, 30 m:"
[1] "Mean: 91.533333"
[1] "variance: 1077.650000"
[1] "Time, 10 m:"
[1] "Mean: 4.012727"
[1] "variance: 5.342022"
[1] "Time, 20 m:"
[1] "Mean: 5.165455"
[1] "variance: 8.989647"
[1] "Time, 30 m:"
[1] "Mean: 6.505556"
[1] "variance: 6.814903"