A randomisation test was done to test whether the measurements during the incident differed from the measurements during the accompanying control phase. For each separate incident of an ID all measurements of the incident and control phase were resampled 1000 times and for each sample the difference in means were calculated for the measurements during the incidents and the measurements during the control scores. Next this distribution of random differences was compared to the observed mean difference. The the p value is defined as the proportion of random mean differences that was equal or larger than the observed mean difference. Separate analyses were performed for clients and participants. It was hypothesized that significant differences between incident and control measurements for staff participants go together with significant differences for clients. For each ID an overall p value was calculated for staff and clients separately to evaluate whether the difference in means was significant for the total set of incididents. The p’s of the incidents were used to calculate the overall p, using the property that (individual) p values are uniformly distributed.
The boxplot shows the mean difference (incident - control) taking all incididents together, separate for clients and staff and for different ID’s.
res.ACC_mean[[1]]
## $p
## p.client p.staff
## 0.003377683 0.020273726
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.9995 0.9822 0.0173 0.02
## 2 2 1.0085 0.9841 0.0244 0.00
## 3 3 1.0174 1.0144 0.0029 0.36
## 4 4 1.0546 1.0231 0.0315 0.06
## 5 5 1.0067 0.9997 0.0070 0.08
## 6 6 1.0039 0.9933 0.0106 0.15
## 7 7 1.0124 1.0231 -0.0107 0.93
## 8 8 0.9947 1.0389 -0.0442 1.00
## 9 9 1.0193 0.9951 0.0242 0.00
## 10 10 0.9994 0.9941 0.0053 0.17
## 11 11 1.0472 1.0329 0.0144 0.19
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0148 1.0122 0.0026 0.22
## 2 1.0130 1.0086 0.0045 0.22
## 3 1.0701 1.0169 0.0532 0.01
## 4 1.0695 1.0269 0.0426 0.00
## 5 1.0228 1.0027 0.0200 0.00
## 6 1.0176 1.0213 -0.0037 0.58
## 7 1.0445 1.0269 0.0176 0.12
## 8 1.0537 1.0515 0.0023 0.45
## 9 1.0092 1.0328 -0.0236 0.93
## 10 1.0182 1.0042 0.0140 0.07
## 11 1.0326 1.0497 -0.0171 0.95
res.ACC_mean[[2]]
## $p
## p.client p.staff
## 0.06504323 0.26198514
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 1.0068 1.0262 -0.0194 1.00
## 2 2 0.9898 0.9870 0.0028 0.23
## 3 3 0.9916 0.9880 0.0036 0.17
## 4 4 1.0018 1.0025 -0.0007 0.52
## 5 5 0.9938 0.9785 0.0153 0.00
## 6 6 1.0272 1.0092 0.0180 0.00
## 7 7 1.0310 1.0025 0.0285 0.00
## 8 8 1.0328 0.9988 0.0340 0.00
## 9 9 1.0146 0.9932 0.0215 0.00
## 10 10 1.0292 1.0071 0.0221 0.00
## 11 11 NA NA NA NA
## 12 12 NA NA NA NA
## 13 13 0.9846 1.0123 -0.0277 1.00
## 14 14 0.9876 1.0318 -0.0442 1.00
## 15 15 0.9974 1.0281 -0.0307 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0035 1.0011 0.0024 0.41
## 2 1.0103 1.0003 0.0100 0.12
## 3 1.0020 1.0012 0.0008 0.49
## 4 1.0227 1.0111 0.0116 0.00
## 5 0.9930 1.0328 -0.0398 1.00
## 6 1.0200 1.0222 -0.0022 0.53
## 7 1.0209 1.0085 0.0123 0.02
## 8 1.0207 1.0406 -0.0199 0.96
## 9 1.0276 1.0158 0.0118 0.14
## 10 1.0105 1.0108 -0.0003 0.50
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 1.0058 1.0015 0.0043 0.23
## 14 0.9928 1.0134 -0.0206 0.99
## 15 1.0141 1.0115 0.0027 0.44
res.ACC_mean[[3]]
## $p
## p.client p.staff
## 0.01976073 0.08724452
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 1.0789 1.0045 0.0745 0.00
## 2 2 1.0049 1.0058 -0.0008 0.74
## 3 3 1.0436 1.0030 0.0406 0.00
## 4 4 0.9990 1.0021 -0.0031 0.58
## 5 5 1.0360 1.0183 0.0177 0.23
## 6 6 1.0745 1.0085 0.0660 0.01
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0275 1.0310 -0.0035 0.74
## 2 1.0439 1.0096 0.0343 0.00
## 3 1.0240 1.0218 0.0023 0.35
## 4 1.0324 1.0277 0.0047 0.34
## 5 1.0346 1.0343 0.0003 0.51
## 6 1.0359 1.0305 0.0054 0.09
res.ACC_mean[[4]]
## $p
## p.client p.staff
## 0.73955443 0.08705497
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.9991 0.9915 0.0075 0.00
## 2 2 0.9981 0.9943 0.0038 0.02
## 3 3 0.9998 1.0103 -0.0105 1.00
## 4 4 1.0004 1.0110 -0.0106 1.00
## 5 5 NaN 0.9965 NaN NA
## 6 6 0.9996 1.0050 -0.0054 0.71
## 7 7 NaN 0.9965 NaN NA
## 8 8 1.0049 1.0164 -0.0115 0.84
## 9 9 1.0034 0.9897 0.0137 0.00
## 10 10 1.0122 0.9797 0.0325 0.00
## 11 11 1.0036 0.9848 0.0188 0.00
## 12 12 0.9990 0.9799 0.0191 0.00
## 13 13 0.9901 0.9923 -0.0022 0.69
## 14 14 0.9887 0.9809 0.0078 0.01
## 15 15 0.9926 1.0035 -0.0109 1.00
## 16 16 0.9812 1.0098 -0.0286 1.00
## 17 17 0.9812 1.0036 -0.0224 1.00
## 18 18 0.9892 1.0092 -0.0201 1.00
## 19 19 0.9893 1.0086 -0.0193 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0192 1.0196 -0.0004 0.54
## 2 1.0222 1.0152 0.0070 0.10
## 3 0.9931 1.0127 -0.0197 1.00
## 4 0.9999 1.0149 -0.0150 1.00
## 5 NaN 1.0155 NaN NA
## 6 1.0300 1.0109 0.0191 0.02
## 7 1.0307 1.0155 0.0152 0.08
## 8 1.0252 1.0633 -0.0381 1.00
## 9 1.0063 1.0216 -0.0154 1.00
## 10 1.0198 1.0085 0.0113 0.01
## 11 1.0158 1.0116 0.0043 0.12
## 12 1.0156 1.0133 0.0023 0.24
## 13 1.0236 1.0215 0.0021 0.44
## 14 1.0236 1.0086 0.0150 0.10
## 15 1.0104 1.0118 -0.0013 0.65
## 16 1.0250 1.0145 0.0105 0.06
## 17 1.0218 1.0079 0.0140 0.03
## 18 1.0248 1.0204 0.0043 0.19
## 19 1.0197 1.0234 -0.0037 0.75
res.ACC_mean[[5]]
## $p
## p.client p.staff
## 0.1170125 0.8874965
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 1.0090 0.9894 0.0196 0.01
## 2 2 1.0009 0.9942 0.0067 0.00
## 3 3 1.0170 1.0025 0.0145 0.01
## 4 4 1.0013 1.0216 -0.0202 0.93
## 5 5 0.9995 1.0180 -0.0185 0.92
## 6 6 1.0439 1.0201 0.0238 0.04
## 7 7 1.0017 1.0014 0.0004 0.55
## 8 8 1.0096 0.9924 0.0172 0.00
## 9 9 0.9931 1.0048 -0.0118 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0002 1.0246 -0.0244 1.00
## 2 1.0240 1.0280 -0.0039 0.72
## 3 1.0266 1.0191 0.0075 0.30
## 4 1.0136 1.0414 -0.0278 1.00
## 5 1.0294 1.0414 -0.0120 0.90
## 6 1.0257 1.0416 -0.0159 0.95
## 7 1.0269 1.0185 0.0083 0.14
## 8 1.0302 1.0147 0.0155 0.08
## 9 1.0423 1.0422 0.0002 0.47
res.ACC_mean[[6]]
## $p
## p.client p.staff
## 0.03605786 0.68237208
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.9926 1.0294 -0.0368 1.00
## 2 2 0.9844 1.0157 -0.0313 1.00
## 3 3 0.9829 1.0063 -0.0233 1.00
## 4 4 1.1230 0.9876 0.1355 0.00
## 5 5 1.6078 1.0360 0.5718 0.01
## 6 6 2.1856 1.0139 1.1717 0.00
## 7 7 1.7914 1.0157 0.7757 0.00
## 8 8 1.0023 0.9876 0.0148 0.00
## 9 9 0.9982 1.0004 -0.0022 0.77
## 10 10 0.9992 0.9947 0.0045 0.00
## 11 11 1.9341 0.9982 0.9359 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0227 1.0453 -0.0226 0.94
## 2 1.0270 1.0338 -0.0068 0.73
## 3 0.9941 0.9971 -0.0030 0.62
## 4 0.9975 0.9866 0.0109 0.15
## 5 0.9956 1.0256 -0.0301 1.00
## 6 1.0213 1.0370 -0.0156 0.98
## 7 1.0047 1.0338 -0.0291 0.99
## 8 0.9849 0.9866 -0.0016 0.52
## 9 1.0086 0.9851 0.0234 0.00
## 10 0.9997 0.9886 0.0112 0.03
## 11 1.0036 0.9800 0.0236 0.00
res.ACC_mean[[7]]
## $p
## p.client p.staff
## 0.2732807 0.9951207
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.9879 0.9793 0.0086 0.01
## 2 2 1.0112 1.0053 0.0059 0.37
## 3 3 0.9938 0.9980 -0.0041 0.64
## 4 4 0.9923 1.0036 -0.0113 0.91
## 5 5 0.9647 0.9749 -0.0102 1.00
## 6 6 1.0036 0.9678 0.0357 0.03
## 7 7 1.0036 0.9634 0.0402 0.00
## 8 8 0.9789 0.9863 -0.0074 0.77
## 9 9 1.0024 0.9954 0.0071 0.24
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 1.0310 1.0204 0.0107 0.07
## 2 1.0768 1.0700 0.0068 0.35
## 3 1.0191 1.0656 -0.0465 1.00
## 4 1.0376 1.0576 -0.0200 0.86
## 5 0.9911 1.0225 -0.0314 1.00
## 6 1.0229 1.0235 -0.0006 0.51
## 7 1.0162 1.0398 -0.0236 0.94
## 8 1.0095 1.0536 -0.0440 1.00
## 9 1.0211 1.0558 -0.0347 0.96
boxplot(res.ACC_mean)
res.TEMP_mean[[1]]
## $p
## p.client p.staff
## 0.9987996 0.9998876
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 32.4612 34.0621 -1.6010 1.00
## 2 2 33.3331 33.5340 -0.2009 0.86
## 3 3 31.8041 32.8812 -1.0771 0.99
## 4 4 30.8290 34.7125 -3.8836 1.00
## 5 5 33.3250 33.2746 0.0505 0.35
## 6 6 33.0257 33.1156 -0.0900 0.68
## 7 7 34.7172 34.7125 0.0047 0.49
## 8 8 33.8728 34.2079 -0.3351 0.95
## 9 9 34.5967 33.5654 1.0313 0.00
## 10 10 32.6197 33.3452 -0.7254 1.00
## 11 11 30.0226 32.4306 -2.4080 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 32.3465 34.9736 -2.6271 1.00
## 2 34.2808 34.6043 -0.3235 0.89
## 3 31.0115 32.4607 -1.4492 1.00
## 4 31.7312 33.7157 -1.9845 1.00
## 5 34.3455 34.5871 -0.2417 0.79
## 6 33.7547 33.5699 0.1848 0.34
## 7 35.0390 33.7157 1.3233 0.00
## 8 32.9013 33.6779 -0.7765 0.95
## 9 33.7230 34.3988 -0.6758 0.92
## 10 33.6466 34.7316 -1.0850 1.00
## 11 31.0334 32.0103 -0.9769 0.96
res.TEMP_mean[[2]]
## $p
## p.client p.staff
## 0.2064565 0.9999427
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 32.2482 35.1330 -2.8848 1.00
## 2 2 33.4750 33.0420 0.4331 0.02
## 3 3 33.1259 33.1255 0.0004 0.51
## 4 4 31.9566 34.3411 -2.3845 1.00
## 5 5 32.7722 28.9305 3.8417 0.00
## 6 6 31.8746 31.1377 0.7369 0.00
## 7 7 32.9375 34.3411 -1.4035 1.00
## 8 8 34.9070 31.8589 3.0482 0.00
## 9 9 35.3679 30.9503 4.4176 0.00
## 10 10 32.2659 30.0997 2.1663 0.00
## 11 11 NA NA NA NA
## 12 12 NA NA NA NA
## 13 13 31.0901 35.0908 -4.0007 1.00
## 14 14 30.9648 32.4838 -1.5190 1.00
## 15 15 32.9756 31.9412 1.0344 0.11
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 31.7551 33.2238 -1.4688 1.00
## 2 33.6287 35.3272 -1.6985 1.00
## 3 33.2503 35.3603 -2.1100 1.00
## 4 31.7803 33.5530 -1.7727 1.00
## 5 31.5691 33.8081 -2.2390 1.00
## 6 29.9919 31.5579 -1.5660 1.00
## 7 31.5532 33.2240 -1.6708 1.00
## 8 29.5847 30.9453 -1.3606 1.00
## 9 31.9999 32.0811 -0.0812 0.64
## 10 31.5312 31.6184 -0.0872 0.67
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 31.5156 33.1534 -1.6377 1.00
## 14 32.1378 31.1422 0.9956 0.00
## 15 31.9309 30.6737 1.2573 0.01
res.TEMP_mean[[3]]
## $p
## p.client p.staff
## 0.6192495 0.1387839
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 32.3518 30.6369 1.7148 0.00
## 2 2 33.4623 34.6093 -1.1470 1.00
## 3 3 34.5277 34.3386 0.1891 0.22
## 4 4 33.7973 29.7308 4.0666 0.00
## 5 5 31.2627 34.2490 -2.9863 1.00
## 6 6 35.1018 35.7092 -0.6074 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 34.4045 33.1789 1.2256 0.00
## 2 33.8709 33.9869 -0.1160 0.72
## 3 33.7313 33.8884 -0.1571 0.80
## 4 33.9846 33.3741 0.6105 0.00
## 5 33.8550 33.8922 -0.0372 0.60
## 6 34.3862 34.2305 0.1557 0.10
res.TEMP_mean[[4]]
## $p
## p.client p.staff
## 1.593950e-09 9.370063e-05
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 34.4950 30.4409 4.0541 0.00
## 2 2 34.3672 30.1048 4.2624 0.00
## 3 3 34.3547 28.7525 5.6022 0.00
## 4 4 34.3382 28.5615 5.7766 0.00
## 5 5 NaN 29.4255 NaN NA
## 6 6 33.8481 29.1266 4.7214 0.00
## 7 7 NaN 29.4255 NaN NA
## 8 8 33.3172 31.3360 1.9811 0.00
## 9 9 32.1268 32.9468 -0.8200 1.00
## 10 10 31.2295 32.8157 -1.5862 1.00
## 11 11 33.6503 32.7613 0.8890 0.00
## 12 12 33.6078 32.9744 0.6334 0.01
## 13 13 32.9623 32.8520 0.1103 0.17
## 14 14 33.6141 32.7217 0.8924 0.00
## 15 15 31.9723 29.2143 2.7580 0.00
## 16 16 32.7726 28.4992 4.2734 0.00
## 17 17 32.9129 28.2886 4.6244 0.00
## 18 18 32.8737 28.3784 4.4953 0.00
## 19 19 32.8118 27.8539 4.9579 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 33.2494 32.8948 0.3546 0.12
## 2 33.3178 33.0168 0.3011 0.11
## 3 33.1756 32.4125 0.7631 0.00
## 4 33.2669 32.0094 1.2575 0.00
## 5 NaN 30.4362 NaN NA
## 6 32.4480 32.7315 -0.2834 0.83
## 7 33.2433 30.4362 2.8071 0.00
## 8 33.9123 32.0959 1.8164 0.01
## 9 33.1605 33.0955 0.0649 0.23
## 10 32.3076 33.6947 -1.3872 1.00
## 11 33.6333 33.2799 0.3535 0.16
## 12 32.9665 33.5263 -0.5597 1.00
## 13 33.3087 33.1610 0.1477 0.22
## 14 33.3087 33.5641 -0.2554 0.89
## 15 34.2320 32.8278 1.4041 0.00
## 16 33.8729 31.8189 2.0541 0.00
## 17 32.7429 31.9673 0.7756 0.00
## 18 32.7705 31.9270 0.8435 0.00
## 19 32.8266 31.5831 1.2434 0.00
res.TEMP_mean[[5]]
## $p
## p.client p.staff
## 0.004039983 0.945302837
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 34.3484 29.6304 4.7180 0.00
## 2 2 33.8362 30.6580 3.1783 0.00
## 3 3 31.2190 33.3290 -2.1100 1.00
## 4 4 33.3361 32.5295 0.8066 0.00
## 5 5 32.6482 32.5762 0.0719 0.26
## 6 6 32.4542 29.3274 3.1268 0.00
## 7 7 31.7672 33.5136 -1.7464 1.00
## 8 8 33.3941 29.3678 4.0263 0.00
## 9 9 34.3791 31.3176 3.0615 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 31.7881 32.5090 -0.7210 1.00
## 2 32.2326 32.3221 -0.0895 0.48
## 3 33.1254 32.9573 0.1681 0.36
## 4 31.8168 32.4878 -0.6710 0.92
## 5 31.6828 32.4878 -0.8050 0.94
## 6 31.8490 30.7329 1.1161 0.06
## 7 33.0678 33.2896 -0.2219 0.90
## 8 32.1185 32.0077 0.1109 0.43
## 9 32.9669 33.0608 -0.0939 0.80
res.TEMP_mean[[6]]
## $p
## p.client p.staff
## 0.71477790 0.04858683
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 33.6343 34.7498 -1.1155 1.00
## 2 2 36.0997 32.6718 3.4279 0.00
## 3 3 36.0610 31.7021 4.3589 0.00
## 4 4 36.1350 33.1767 2.9583 0.00
## 5 5 34.6496 32.9034 1.7462 0.16
## 6 6 35.2120 33.2880 1.9240 0.00
## 7 7 32.3876 32.6718 -0.2842 0.91
## 8 8 30.7349 33.1767 -2.4418 1.00
## 9 9 30.5945 32.4937 -1.8993 1.00
## 10 10 30.2130 34.0690 -3.8560 1.00
## 11 11 32.2350 33.5090 -1.2740 0.98
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 32.5987 32.8569 -0.2582 0.99
## 2 32.7934 32.9344 -0.1410 0.83
## 3 33.5644 32.9628 0.6016 0.00
## 4 33.6367 33.6006 0.0361 0.47
## 5 32.8808 32.7346 0.1463 0.20
## 6 34.0051 32.8909 1.1142 0.00
## 7 33.2907 32.9344 0.3563 0.00
## 8 34.1037 33.6006 0.5031 0.00
## 9 33.5525 33.0583 0.4941 0.00
## 10 32.5936 32.5397 0.0539 0.42
## 11 33.4876 34.5262 -1.0387 1.00
res.TEMP_mean[[7]]
## $p
## p.client p.staff
## 0.9688431051 0.0005996238
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 32.2318 32.9114 -0.6795 1.00
## 2 2 32.9465 32.6152 0.3314 0.11
## 3 3 35.2079 32.6093 2.5986 0.00
## 4 4 35.2875 33.0735 2.2141 0.00
## 5 5 30.7911 33.2828 -2.4917 1.00
## 6 6 30.6593 33.4035 -2.7441 1.00
## 7 7 30.6593 33.5922 -2.9329 1.00
## 8 8 32.7096 33.9142 -1.2046 1.00
## 9 9 32.5661 33.9867 -1.4206 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 33.0010 30.3394 2.6617 0.00
## 2 29.9946 29.5754 0.4192 0.25
## 3 33.4875 33.4994 -0.0118 0.58
## 4 33.2109 33.7943 -0.5833 0.99
## 5 33.1626 31.0874 2.0751 0.00
## 6 33.6187 30.8941 2.7246 0.00
## 7 33.0606 30.5088 2.5519 0.00
## 8 32.9511 30.8249 2.1261 0.00
## 9 32.8157 31.4111 1.4046 0.00
boxplot(res.TEMP_mean)
res.HR_mean[[1]]
## $p
## p.client p.staff
## 0.03276918 0.27477167
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 82.7920 75.4224 7.3696 0.02
## 2 2 79.6675 65.5763 14.0912 0.00
## 3 3 83.8502 80.3029 3.5473 0.17
## 4 4 84.2919 89.9324 -5.6405 0.83
## 5 5 80.8626 74.6470 6.2156 0.03
## 6 6 84.9386 77.3304 7.6082 0.15
## 7 7 83.2090 89.9324 -6.7234 0.93
## 8 8 73.3133 92.7449 -19.4316 1.00
## 9 9 85.8416 74.7594 11.0822 0.01
## 10 10 71.1976 71.8385 -0.6409 0.60
## 11 11 106.5074 91.7064 14.8011 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 74.5608 80.8898 -6.3290 0.89
## 2 77.8760 72.3548 5.5212 0.08
## 3 94.8347 90.0755 4.7592 0.31
## 4 98.6768 80.4147 18.2621 0.02
## 5 78.6488 73.2259 5.4229 0.09
## 6 79.4733 87.1268 -7.6534 0.83
## 7 83.9686 80.4147 3.5539 0.20
## 8 86.2083 90.8791 -4.6708 0.77
## 9 76.9889 81.4705 -4.4816 0.82
## 10 78.2151 68.2505 9.9645 0.00
## 11 89.3050 102.1737 -12.8687 0.91
res.HR_mean[[2]]
## $p
## p.client p.staff
## 0.4358688 0.9064667
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 80.3810 87.3076 -6.9266 1.00
## 2 2 76.1800 73.0792 3.1009 0.05
## 3 3 79.2238 78.3613 0.8625 0.46
## 4 4 85.1227 91.5208 -6.3981 0.98
## 5 5 90.7025 71.5808 19.1218 0.00
## 6 6 76.5354 86.3165 -9.7812 1.00
## 7 7 101.6751 91.5208 10.1543 0.01
## 8 8 100.3632 89.4730 10.8902 0.06
## 9 9 88.3668 81.6189 6.7479 0.07
## 10 10 100.0544 89.6146 10.4398 0.06
## 11 11 NA NA NA NA
## 12 12 NA NA NA NA
## 13 13 76.3849 84.2603 -7.8754 1.00
## 14 14 77.7958 83.6111 -5.8153 0.96
## 15 15 84.5212 86.4766 -1.9555 0.68
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 85.3701 86.3321 -0.9619 0.70
## 2 83.9632 88.4406 -4.4774 0.96
## 3 83.6619 88.4443 -4.7824 0.97
## 4 84.1569 84.7874 -0.6305 0.62
## 5 74.3466 89.4192 -15.0726 1.00
## 6 84.9289 88.6994 -3.7705 0.89
## 7 88.0830 91.8022 -3.7192 0.83
## 8 94.3727 82.0810 12.2916 0.02
## 9 82.4231 83.5399 -1.1168 0.66
## 10 92.4711 85.2430 7.2281 0.08
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 85.8972 86.9134 -1.0161 0.63
## 14 84.7393 83.8802 0.8590 0.44
## 15 84.9771 79.2743 5.7027 0.08
res.HR_mean[[3]]
## $p
## p.client p.staff
## 0.2401278 0.1484192
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 113.7010 82.9058 30.7952 0.01
## 2 2 73.9314 83.5268 -9.5954 0.99
## 3 3 109.0970 64.3450 44.7520 0.00
## 4 4 77.6003 80.8902 -3.2899 0.79
## 5 5 78.8181 82.8645 -4.0464 0.70
## 6 6 102.4294 70.2964 32.1330 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 107.6263 100.7359 6.8905 0.00
## 2 107.5110 102.7705 4.7406 0.10
## 3 93.5000 97.8283 -4.3283 0.84
## 4 99.6959 92.0408 7.6552 0.01
## 5 91.6030 100.2553 -8.6522 1.00
## 6 101.5076 99.2292 2.2784 0.30
res.HR_mean[[4]]
## $p
## p.client p.staff
## 0.5066439 0.1670219
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 84.1840 67.6910 16.4931 0.00
## 2 2 86.0982 68.5610 17.5372 0.00
## 3 3 85.2837 93.3321 -8.0484 1.00
## 4 4 85.6685 89.3200 -3.6515 0.86
## 5 5 NaN 99.9538 NaN NA
## 6 6 81.4645 89.3650 -7.9005 0.99
## 7 7 NaN 99.9538 NaN NA
## 8 8 85.6082 96.4885 -10.8803 0.98
## 9 9 82.8141 88.4250 -5.6109 0.93
## 10 10 87.7226 80.7532 6.9694 0.10
## 11 11 84.5324 85.8695 -1.3371 0.63
## 12 12 83.9999 81.2110 2.7889 0.21
## 13 13 86.6300 90.0029 -3.3729 0.81
## 14 14 95.4411 81.6708 13.7702 0.00
## 15 15 82.8403 87.9018 -5.0615 0.90
## 16 16 84.3584 90.6191 -6.2607 0.94
## 17 17 85.3346 81.9057 3.4289 0.15
## 18 18 87.7519 80.4648 7.2872 0.02
## 19 19 88.3170 78.6431 9.6739 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 83.6571 81.7817 1.8755 0.38
## 2 85.1461 78.4194 6.7267 0.08
## 3 75.0197 76.3746 -1.3549 0.73
## 4 74.6716 77.3765 -2.7049 0.80
## 5 NaN 77.5448 NaN NA
## 6 78.8163 77.2282 1.5881 0.33
## 7 81.6198 77.5448 4.0750 0.22
## 8 75.8098 100.6284 -24.8186 1.00
## 9 92.2672 82.0922 10.1750 0.00
## 10 84.1263 72.7966 11.3297 0.01
## 11 84.1432 80.2512 3.8920 0.23
## 12 76.2345 77.9930 -1.7585 0.68
## 13 82.3535 83.6440 -1.2904 0.70
## 14 82.3535 76.0707 6.2829 0.13
## 15 76.1023 78.9309 -2.8286 0.82
## 16 80.2786 78.2360 2.0427 0.26
## 17 84.9423 76.4631 8.4792 0.01
## 18 83.6090 84.0055 -0.3965 0.51
## 19 82.6657 86.3998 -3.7340 0.92
res.HR_mean[[5]]
## $p
## p.client p.staff
## 0.5361856 0.1362762
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 86.3767 81.0686 5.3081 0.02
## 2 2 72.6105 71.3964 1.2142 0.16
## 3 3 83.1000 86.7516 -3.6517 0.91
## 4 4 78.5114 80.2521 -1.7407 0.58
## 5 5 86.4621 80.2328 6.2294 0.07
## 6 6 101.4978 99.2067 2.2911 0.30
## 7 7 86.0232 87.2357 -1.2125 0.78
## 8 8 82.8598 84.6782 -1.8184 0.88
## 9 9 74.1703 81.3194 -7.1491 0.88
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 88.2056 85.5291 2.6765 0.13
## 2 90.2132 87.5899 2.6233 0.10
## 3 90.4410 84.0155 6.4255 0.02
## 4 95.1308 93.7717 1.3591 0.50
## 5 83.3649 93.7717 -10.4068 0.99
## 6 90.7590 90.5593 0.1997 0.47
## 7 80.5743 84.7126 -4.1383 0.85
## 8 84.9440 77.8975 7.0465 0.02
## 9 86.3106 85.7434 0.5672 0.46
res.HR_mean[[6]]
## $p
## p.client p.staff
## 0.9975430 0.9357413
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 85.0886 103.2797 -18.1911 1.00
## 2 2 88.0132 91.8770 -3.8638 0.93
## 3 3 86.7826 89.4460 -2.6634 0.91
## 4 4 101.3411 82.2092 19.1320 0.00
## 5 5 90.7178 89.1438 1.5741 0.46
## 6 6 87.4378 92.7605 -5.3228 1.00
## 7 7 84.7819 91.8770 -7.0952 0.99
## 8 8 78.1304 82.2092 -4.0788 0.93
## 9 9 83.0851 82.8298 0.2552 0.39
## 10 10 89.6255 94.0843 -4.4589 0.96
## 11 11 89.5190 90.4869 -0.9679 0.56
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 84.0230 91.5887 -7.5657 1.00
## 2 96.3648 90.0005 6.3643 0.07
## 3 81.0123 80.6954 0.3168 0.44
## 4 86.1955 77.7575 8.4380 0.01
## 5 82.2495 89.0270 -6.7775 0.93
## 6 87.8353 90.0955 -2.2602 0.79
## 7 75.2034 90.0005 -14.7971 1.00
## 8 71.2979 77.7575 -6.4596 0.99
## 9 83.3738 79.8415 3.5323 0.32
## 10 80.1704 86.0801 -5.9098 0.99
## 11 80.8467 80.6947 0.1520 0.42
res.HR_mean[[7]]
## $p
## p.client p.staff
## 0.9983491 0.5316722
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 72.5359 80.8946 -8.3587 0.89
## 2 2 84.9677 79.0480 5.9197 0.05
## 3 3 80.9905 85.3440 -4.3535 0.79
## 4 4 82.8532 82.7094 0.1438 0.50
## 5 5 64.0745 100.2461 -36.1716 1.00
## 6 6 76.9829 103.7709 -26.7880 1.00
## 7 7 76.9829 96.8615 -19.8786 0.98
## 8 8 80.8909 90.1447 -9.2538 0.94
## 9 9 89.0551 93.6481 -4.5930 0.81
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 90.1797 89.3747 0.8050 0.36
## 2 94.9508 89.7635 5.1873 0.09
## 3 91.0278 107.6474 -16.6196 0.99
## 4 94.3249 110.0055 -15.6806 0.98
## 5 85.9235 80.4080 5.5155 0.00
## 6 92.1248 81.2253 10.8995 0.00
## 7 86.9545 86.5612 0.3933 0.44
## 8 87.4568 93.5379 -6.0812 0.82
## 9 89.9544 95.4347 -5.4802 0.89
boxplot(res.HR_mean)
res.EDA_clean_mean[[1]]
## $p
## p.client p.staff
## 0.9997662 0.8615848
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.1211 4.4128 -4.2917 1.00
## 2 2 0.1558 0.1430 0.0127 0.23
## 3 3 0.0651 0.0960 -0.0309 1.00
## 4 4 0.0845 0.2907 -0.2062 1.00
## 5 5 0.0960 0.1307 -0.0347 1.00
## 6 6 0.1585 0.1491 0.0094 0.47
## 7 7 3.4003 0.2907 3.1097 0.00
## 8 8 0.0547 0.1669 -0.1122 1.00
## 9 9 0.0731 0.1286 -0.0555 1.00
## 10 10 0.0988 0.1322 -0.0334 1.00
## 11 11 0.0622 0.1095 -0.0473 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 3.0590 2.4314 0.6276 0.12
## 2 3.8930 3.3224 0.5706 0.09
## 3 2.3011 2.6765 -0.3753 0.75
## 4 3.8134 3.6457 0.1676 0.39
## 5 2.4657 2.9468 -0.4810 0.98
## 6 2.7082 2.2934 0.4149 0.06
## 7 4.7815 3.6457 1.1357 0.17
## 8 1.6273 2.9048 -1.2775 0.99
## 9 1.3689 3.4171 -2.0482 1.00
## 10 1.5388 2.8995 -1.3608 1.00
## 11 0.8705 3.5875 -2.7169 1.00
res.EDA_clean_mean[[2]]
## $p
## p.client p.staff
## 0.008444099 0.028903741
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.2221 2.8760 -2.6539 1.00
## 2 2 0.4023 0.1282 0.2741 0.00
## 3 3 1.5236 0.1474 1.3762 0.00
## 4 4 0.2013 0.5077 -0.3063 1.00
## 5 5 0.5713 0.1920 0.3793 0.09
## 6 6 0.4613 0.1010 0.3603 0.00
## 7 7 0.4408 0.5077 -0.0669 0.63
## 8 8 3.9336 0.8717 3.0620 0.00
## 9 9 1.5591 0.0997 1.4594 0.00
## 10 10 2.6014 0.1753 2.4261 0.00
## 11 11 NA NA NA NA
## 12 12 NA NA NA NA
## 13 13 0.1012 2.2070 -2.1057 1.00
## 14 14 0.2790 0.1594 0.1196 0.32
## 15 15 2.4541 0.1653 2.2888 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 3.9280 1.9434 1.9846 0.00
## 2 5.7093 11.4320 -5.7227 1.00
## 3 6.4519 10.2541 -3.8022 1.00
## 4 4.5488 1.1400 3.4087 0.00
## 5 1.1313 1.1686 -0.0373 0.62
## 6 2.5695 0.7618 1.8078 0.02
## 7 5.5503 6.1084 -0.5581 0.93
## 8 1.3881 1.1662 0.2219 0.06
## 9 3.3180 0.6837 2.6343 0.00
## 10 3.8336 0.8249 3.0087 0.00
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 1.7746 1.2434 0.5312 0.05
## 14 2.2107 2.6002 -0.3895 0.85
## 15 2.6610 1.2644 1.3965 0.00
res.EDA_clean_mean[[3]]
## $p
## p.client p.staff
## 5.688889e-12 1.902939e-02
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 7.7908 0.2418 7.5490 0.00
## 2 2 0.7831 0.0985 0.6846 0.00
## 3 3 1.5234 0.2940 1.2294 0.02
## 4 4 0.8115 0.2494 0.5621 0.01
## 5 5 1.0319 0.1946 0.8373 0.00
## 6 6 0.3257 0.1879 0.1378 0.01
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 8.9021 1.9691 6.9329 0.00
## 2 8.7569 7.6316 1.1253 0.09
## 3 2.8546 2.9050 -0.0504 0.47
## 4 9.6457 4.6093 5.0364 0.00
## 5 6.8573 14.0856 -7.2283 0.98
## 6 2.9816 1.4056 1.5760 0.01
res.EDA_clean_mean[[4]]
## $p
## p.client p.staff
## 0.5298713 0.5000000
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.1734 0.2782 -0.1048 1.00
## 2 2 0.1603 0.2659 -0.1056 1.00
## 3 3 0.1265 0.2828 -0.1564 1.00
## 4 4 0.1250 0.2399 -0.1149 1.00
## 5 5 NaN 0.0506 NaN NA
## 6 6 0.9311 0.2832 0.6478 0.01
## 7 7 NaN 0.0506 NaN NA
## 8 8 0.0952 0.4479 -0.3526 0.97
## 9 9 0.0645 1.9886 -1.9241 1.00
## 10 10 0.0607 0.2098 -0.1491 1.00
## 11 11 0.5895 0.7397 -0.1502 0.61
## 12 12 0.2697 0.1526 0.1171 0.00
## 13 13 0.7491 1.3207 -0.5717 1.00
## 14 14 0.5565 0.2699 0.2866 0.00
## 15 15 0.3471 0.2783 0.0689 0.00
## 16 16 0.3853 0.2086 0.1767 0.00
## 17 17 0.7479 0.1377 0.6102 0.00
## 18 18 0.9479 0.3129 0.6349 0.00
## 19 19 0.8390 0.4135 0.4255 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 12.3597 0.3502 12.0095 0.00
## 2 13.0316 0.3531 12.6785 0.00
## 3 7.3746 2.5541 4.8205 0.00
## 4 8.1153 3.2962 4.8191 0.00
## 5 NaN 0.3644 NaN NA
## 6 0.3022 0.4239 -0.1218 1.00
## 7 3.4052 0.3644 3.0409 0.00
## 8 1.3740 3.5448 -2.1708 1.00
## 9 0.5340 2.1988 -1.6648 1.00
## 10 0.4448 1.7299 -1.2851 1.00
## 11 0.5532 2.2377 -1.6845 1.00
## 12 0.4004 1.2832 -0.8828 1.00
## 13 1.3610 1.9989 -0.6379 0.97
## 14 1.3610 2.0311 -0.6701 0.98
## 15 0.9724 0.4189 0.5535 0.05
## 16 0.5457 3.4719 -2.9262 1.00
## 17 1.7229 0.7621 0.9608 0.00
## 18 1.8641 0.5539 1.3102 0.00
## 19 2.2896 0.5297 1.7599 0.00
res.EDA_clean_mean[[5]]
## $p
## p.client p.staff
## 0.15711460 0.06908197
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.3202 0.0612 0.2590 0.00
## 2 2 0.3106 NaN NaN NA
## 3 3 0.2038 0.2348 -0.0310 0.70
## 4 4 0.2137 0.0926 0.1211 0.00
## 5 5 0.0578 0.0827 -0.0249 1.00
## 6 6 0.2204 0.0679 0.1525 0.00
## 7 7 0.1000 0.1904 -0.0903 1.00
## 8 8 0.3142 0.0294 0.2848 0.02
## 9 9 0.3731 NaN NaN NA
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 2.5716 0.1872 2.3844 0.00
## 2 0.5170 0.0577 0.4593 0.01
## 3 1.4373 2.2772 -0.8400 0.97
## 4 0.1242 7.5107 -7.3865 1.00
## 5 8.5520 7.5107 1.0413 0.33
## 6 8.1486 9.4664 -1.3177 0.67
## 7 2.6981 2.1298 0.5683 0.23
## 8 6.6830 0.4541 6.2289 0.00
## 9 6.2751 0.1734 6.1017 0.00
res.EDA_clean_mean[[6]]
## $p
## p.client p.staff
## 9.688431e-01 4.325118e-05
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.8050 0.3604 0.4446 0.10
## 2 2 NaN 1.1433 NaN NA
## 3 3 NaN 0.9291 NaN NA
## 4 4 20.9993 0.7276 20.2717 0.00
## 5 5 1.5413 0.2183 1.3230 0.01
## 6 6 0.2949 1.3078 -1.0129 1.00
## 7 7 0.2317 1.1433 -0.9116 1.00
## 8 8 0.0960 0.7276 -0.6316 1.00
## 9 9 0.1494 1.3670 -1.2176 1.00
## 10 10 0.1832 2.1571 -1.9739 1.00
## 11 11 0.1685 2.0244 -1.8560 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 12.6008 12.9613 -0.3606 0.65
## 2 8.6554 9.5863 -0.9309 0.75
## 3 6.6542 1.2502 5.4041 0.00
## 4 5.5397 0.5923 4.9474 0.00
## 5 9.9963 3.0353 6.9610 0.00
## 6 16.0288 9.4395 6.5893 0.00
## 7 9.5129 9.5863 -0.0734 0.55
## 8 2.3802 0.5923 1.7879 0.00
## 9 4.5187 0.0991 4.4196 0.00
## 10 1.8326 1.0050 0.8276 0.00
## 11 3.3647 1.3050 2.0597 0.02
res.EDA_clean_mean[[7]]
## $p
## p.client p.staff
## 0.9583581 0.1170125
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 2.6118 17.6239 -15.0121 1
## 2 2 1.6237 0.4221 1.2017 0
## 3 3 1.3739 0.6337 0.7402 0
## 4 4 1.9160 0.5335 1.3825 0
## 5 5 0.3906 13.3399 -12.9492 1
## 6 6 0.6557 10.1344 -9.4787 1
## 7 7 0.6557 13.4338 -12.7781 1
## 8 8 0.5868 10.8069 -10.2201 1
## 9 9 0.6651 7.5598 -6.8947 1
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 3.1285 0.0907 3.0378 0.00
## 2 1.2362 0.9437 0.2924 0.24
## 3 5.7903 1.7465 4.0438 0.00
## 4 5.7802 4.4798 1.3005 0.22
## 5 2.1316 0.8792 1.2524 0.00
## 6 2.2191 1.0979 1.1213 0.00
## 7 0.3440 1.0367 -0.6927 1.00
## 8 0.1733 1.4384 -1.2651 1.00
## 9 0.4840 1.7179 -1.2339 1.00
boxplot(res.EDA_clean_mean)
res.peaks_clean_sum[[1]]
## $p
## p.client p.staff
## 0.1186350 0.6095831
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 7.5714 30.5714 -23.0000 0.98
## 2 2 4.0000 1.1429 2.8571 0.07
## 3 3 3.8571 1.4286 2.4286 0.15
## 4 4 4.8571 11.0000 -6.1429 0.86
## 5 5 5.8571 2.8333 3.0238 0.27
## 6 6 13.0000 3.0000 10.0000 0.14
## 7 7 85.1429 11.0000 74.1429 0.00
## 8 8 1.4286 7.4286 -6.0000 1.00
## 9 9 1.4286 2.2857 -0.8571 0.80
## 10 10 5.7143 2.0000 3.7143 0.09
## 11 11 11.0000 1.1429 9.8571 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 66.2857 62.0000 4.2857 0.42
## 2 71.0000 71.8571 -0.8571 0.63
## 3 76.2857 45.2857 31.0000 0.23
## 4 67.1429 59.5714 7.5714 0.21
## 5 63.5714 57.7143 5.8571 0.25
## 6 44.5714 61.4286 -16.8571 0.74
## 7 44.5714 59.5714 -15.0000 0.78
## 8 32.5714 54.1429 -21.5714 0.76
## 9 50.8571 48.1429 2.7143 0.30
## 10 55.4286 57.5714 -2.1429 0.60
## 11 43.2857 62.0000 -18.7143 0.85
res.peaks_clean_sum[[2]]
## $p
## p.client p.staff
## 0.0872165 0.3072049
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 22.4286 80.4286 -58.0000 0.96
## 2 2 18.8571 18.7143 0.1429 0.46
## 3 3 33.2857 22.2857 11.0000 0.30
## 4 4 15.0000 19.1429 -4.1429 0.72
## 5 5 17.7143 3.4286 14.2857 0.04
## 6 6 36.5714 6.2857 30.2857 0.00
## 7 7 35.0000 19.1429 15.8571 0.20
## 8 8 57.1429 16.5000 40.6429 0.00
## 9 9 25.2857 7.4286 17.8571 0.05
## 10 10 56.2857 25.7143 30.5714 0.17
## 11 11 NA NA NA NA
## 12 12 NA NA NA NA
## 13 13 3.8571 63.4286 -59.5714 1.00
## 14 14 15.5714 18.7143 -3.1429 0.65
## 15 15 21.4286 25.7143 -4.2857 0.53
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 66.4286 62.1429 4.2857 0.29
## 2 52.4286 84.8571 -32.4286 0.82
## 3 60.8571 80.0000 -19.1429 0.75
## 4 49.4286 38.5714 10.8571 0.18
## 5 12.5714 41.1429 -28.5714 0.91
## 6 61.4286 26.1429 35.2857 0.16
## 7 71.4286 72.8571 -1.4286 0.71
## 8 46.8571 59.1667 -12.3095 0.76
## 9 60.2857 34.4286 25.8571 0.23
## 10 64.4286 38.7143 25.7143 0.21
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 56.2857 46.0000 10.2857 0.24
## 14 55.0000 54.7143 0.2857 0.48
## 15 51.2857 27.7143 23.5714 0.23
res.peaks_clean_sum[[3]]
## $p
## p.client p.staff
## 0.4780107 0.4342868
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 20.7143 22.7143 -2.0000 0.52
## 2 2 34.8571 9.4286 25.4286 0.05
## 3 3 22.4286 23.4286 -1.0000 0.45
## 4 4 14.0000 14.4286 -0.4286 0.60
## 5 5 10.2857 11.2857 -1.0000 0.55
## 6 6 12.7143 23.8571 -11.1429 0.79
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 48.4286 28.8571 19.5714 0.25
## 2 23.4286 22.0000 1.4286 0.38
## 3 9.1429 24.4286 -15.2857 0.93
## 4 66.0000 30.7143 35.2857 0.19
## 5 26.0000 21.1429 4.8571 0.38
## 6 6.2857 10.7143 -4.4286 0.75
res.peaks_clean_sum[[4]]
## $p
## p.client p.staff
## 0.9994429 0.0617273
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 3.1429 7.7143 -4.5714 0.87
## 2 2 3.7143 5.7143 -2.0000 0.75
## 3 3 6.2857 14.4286 -8.1429 0.83
## 4 4 6.0000 11.5714 -5.5714 0.81
## 5 5 NaN 0.5714 NaN NA
## 6 6 24.7143 16.0000 8.7143 0.20
## 7 7 NaN 0.5714 NaN NA
## 8 8 5.4286 22.8571 -17.4286 0.98
## 9 9 0.7143 44.4286 -43.7143 1.00
## 10 10 0.8571 13.7143 -12.8571 1.00
## 11 11 20.4286 28.2857 -7.8571 0.76
## 12 12 3.7143 9.8571 -6.1429 0.91
## 13 13 25.2857 35.5714 -10.2857 0.70
## 14 14 26.0000 19.7143 6.2857 0.37
## 15 15 13.0000 14.4286 -1.4286 0.67
## 16 16 12.7143 13.5714 -0.8571 0.55
## 17 17 12.1429 18.7143 -6.5714 0.77
## 18 18 18.2857 14.8571 3.4286 0.31
## 19 19 14.7143 22.2857 -7.5714 0.81
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 54.8571 12.2857 42.5714 0.00
## 2 50.5714 9.8571 40.7143 0.00
## 3 67.0000 18.7143 48.2857 0.02
## 4 68.4286 27.5714 40.8571 0.11
## 5 NaN 15.2857 NaN NA
## 6 15.5714 7.8571 7.7143 0.18
## 7 17.6667 15.2857 2.3810 0.39
## 8 47.2857 60.2857 -13.0000 0.67
## 9 5.2857 44.7143 -39.4286 1.00
## 10 7.5714 41.0000 -33.4286 0.99
## 11 13.2857 57.4286 -44.1429 0.98
## 12 8.8571 30.2857 -21.4286 0.98
## 13 49.4286 51.7143 -2.2857 0.62
## 14 49.4286 50.1429 -0.7143 0.59
## 15 41.2857 8.7143 32.5714 0.00
## 16 31.1429 32.5714 -1.4286 0.54
## 17 57.8571 16.5714 41.2857 0.04
## 18 60.8571 10.7143 50.1429 0.00
## 19 65.0000 13.2857 51.7143 0.00
res.peaks_clean_sum[[5]]
## $p
## p.client p.staff
## 0.004039983 0.320595864
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 9.6667 1.4286 8.2381 0.00
## 2 2 28.0000 0.0000 28.0000 0.00
## 3 3 14.2857 11.8571 2.4286 0.25
## 4 4 3.4286 12.2857 -8.8571 0.78
## 5 5 5.5714 5.1429 0.4286 0.48
## 6 6 17.1429 3.5714 13.5714 0.03
## 7 7 8.4286 13.1429 -4.7143 0.72
## 8 8 9.7143 0.0000 9.7143 0.00
## 9 9 17.1429 0.0000 17.1429 0.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 20.7143 26.2857 -5.5714 0.75
## 2 4.4286 0.2857 4.1429 0.02
## 3 15.7143 11.4286 4.2857 0.37
## 4 7.2857 31.5714 -24.2857 0.98
## 5 29.8571 31.5714 -1.7143 0.59
## 6 20.8571 27.5714 -6.7143 0.76
## 7 17.8571 9.8571 8.0000 0.24
## 8 35.7143 26.8571 8.8571 0.30
## 9 35.0000 10.1429 24.8571 0.08
res.peaks_clean_sum[[6]]
## $p
## p.client p.staff
## 0.99996918 0.05078284
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.8571 27.8571 -27.0000 1.00
## 2 2 0.0000 37.4286 -37.4286 1.00
## 3 3 0.0000 38.8571 -38.8571 1.00
## 4 4 20.8571 20.2857 0.5714 0.47
## 5 5 13.2857 14.8571 -1.5714 0.55
## 6 6 31.1429 42.7143 -11.5714 0.68
## 7 7 30.2857 37.4286 -7.1429 0.67
## 8 8 14.0000 20.2857 -6.2857 0.72
## 9 9 0.5714 32.4286 -31.8571 1.00
## 10 10 0.8571 53.8571 -53.0000 1.00
## 11 11 7.4286 58.2857 -50.8571 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 54.5714 60.8571 -6.2857 0.69
## 2 72.1429 44.0000 28.1429 0.25
## 3 88.2857 50.2857 38.0000 0.21
## 4 83.7143 34.1429 49.5714 0.15
## 5 36.2857 88.7143 -52.4286 0.87
## 6 27.8571 47.7143 -19.8571 0.74
## 7 67.8571 44.0000 23.8571 0.20
## 8 39.0000 34.1429 4.8571 0.44
## 9 58.7143 10.7143 48.0000 0.00
## 10 62.5714 47.7143 14.8571 0.26
## 11 79.7143 46.4286 33.2857 0.12
res.peaks_clean_sum[[7]]
## $p
## p.client p.staff
## 0.7342670 0.5226343
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 61.5714 18.3333 43.2381 0.00
## 2 2 36.8571 27.7143 9.1429 0.40
## 3 3 50.4286 37.2857 13.1429 0.23
## 4 4 61.0000 23.0000 38.0000 0.09
## 5 5 3.4286 67.4286 -64.0000 1.00
## 6 6 21.4286 95.0000 -73.5714 1.00
## 7 7 21.4286 68.4286 -47.0000 0.96
## 8 8 31.0000 57.2857 -26.2857 0.77
## 9 9 44.7143 51.4286 -6.7143 0.60
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 79.7143 18.8333 60.8810 0.01
## 2 21.7143 42.5714 -20.8571 0.79
## 3 74.7143 46.2857 28.4286 0.20
## 4 67.1429 51.1429 16.0000 0.19
## 5 34.5714 33.4286 1.1429 0.48
## 6 45.5714 30.5714 15.0000 0.30
## 7 13.0000 26.7143 -13.7143 0.79
## 8 8.8571 41.1429 -32.2857 0.99
## 9 22.4286 47.0000 -24.5714 0.80
boxplot(res.peaks_clean_sum)
res.peaks_clean_mean_auc[[1]]
## $p
## p.client p.staff
## 0.7182818 0.9524832
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.0310 0.1530 -0.1219 0.98
## 2 2 0.0093 0.0253 -0.0160 1.00
## 3 3 0.0196 0.0124 0.0073 0.13
## 4 4 0.0125 0.0265 -0.0140 0.96
## 5 5 0.0134 0.0140 -0.0005 0.56
## 6 6 0.0567 0.0344 0.0223 0.30
## 7 7 1.1644 0.0265 1.1379 0.00
## 8 8 0.0146 0.0147 -0.0001 0.54
## 9 9 0.0117 0.0188 -0.0071 0.93
## 10 10 0.0145 0.0167 -0.0022 0.65
## 11 11 0.0268 0.0095 0.0173 0.01
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.2567 0.2828 -0.0261 0.62
## 2 0.5533 0.4661 0.0872 0.24
## 3 0.2373 0.1715 0.0658 0.13
## 4 0.4101 0.4761 -0.0661 0.76
## 5 0.2262 0.4298 -0.2035 0.99
## 6 0.3558 0.1677 0.1880 0.06
## 7 0.4739 0.4761 -0.0023 0.53
## 8 0.2126 0.3474 -0.1348 0.81
## 9 0.1713 0.3324 -0.1611 0.99
## 10 0.2024 0.4087 -0.2063 0.99
## 11 0.1014 0.2827 -0.1813 0.98
res.peaks_clean_mean_auc[[2]]
## $p
## p.client p.staff
## 0.14270278 0.04940057
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.0217 0.3604 -0.3387 1.00
## 2 2 0.0331 0.0373 -0.0042 0.68
## 3 3 0.1588 0.0397 0.1191 0.08
## 4 4 0.0185 0.0536 -0.0351 1.00
## 5 5 0.0274 0.0205 0.0070 0.23
## 6 6 0.0285 0.0194 0.0091 0.01
## 7 7 0.0457 0.0536 -0.0079 0.64
## 8 8 0.5524 0.1015 0.4509 0.00
## 9 9 0.2960 0.0159 0.2801 0.01
## 10 10 0.3628 0.0343 0.3284 0.00
## 11 11 NA NA NA NA
## 12 12 NA NA NA NA
## 13 13 0.0158 0.3286 -0.3128 1.00
## 14 14 0.0318 0.0390 -0.0072 0.72
## 15 15 0.4073 0.0210 0.3863 0.01
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.2352 0.1283 0.1069 0.00
## 2 0.3549 1.0560 -0.7011 1.00
## 3 0.5681 0.7635 -0.1955 0.79
## 4 0.2075 0.0607 0.1468 0.02
## 5 0.0642 0.1807 -0.1166 0.89
## 6 0.1482 0.1370 0.0112 0.51
## 7 0.6463 0.6937 -0.0474 0.53
## 8 0.0734 0.0926 -0.0193 0.75
## 9 0.2868 0.0443 0.2425 0.00
## 10 0.2809 0.0473 0.2336 0.00
## 11 NA NA NA NA
## 12 NA NA NA NA
## 13 0.1499 0.0969 0.0530 0.05
## 14 0.1722 0.1482 0.0240 0.21
## 15 0.1882 0.0888 0.0993 0.03
res.peaks_clean_mean_auc[[3]]
## $p
## p.client p.staff
## 0.2272925 0.4945002
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.2339 0.0211 0.2128 0.01
## 2 2 0.0451 0.0321 0.0130 0.32
## 3 3 0.2049 0.0157 0.1891 0.00
## 4 4 0.0216 0.0279 -0.0063 0.91
## 5 5 0.0219 0.0157 0.0062 0.22
## 6 6 0.0296 0.0667 -0.0371 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.5891 0.1514 0.4376 0.00
## 2 0.4934 0.5527 -0.0593 0.63
## 3 0.1320 0.2676 -0.1356 0.93
## 4 0.6481 0.2596 0.3886 0.00
## 5 0.9538 0.5180 0.4358 0.43
## 6 0.1514 0.9383 -0.7869 1.00
res.peaks_clean_mean_auc[[4]]
## $p
## p.client p.staff
## 0.99996699 0.04400155
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.0194 0.0230 -0.0036 0.67
## 2 2 0.0283 0.0307 -0.0024 0.52
## 3 3 0.0426 0.1156 -0.0730 0.99
## 4 4 0.0486 0.0793 -0.0307 0.90
## 5 5 NaN 0.0228 NaN NA
## 6 6 0.0943 0.1122 -0.0179 0.68
## 7 7 NaN 0.0228 NaN NA
## 8 8 0.0253 0.0556 -0.0303 0.98
## 9 9 0.0153 0.2960 -0.2807 0.99
## 10 10 0.0124 0.0365 -0.0241 0.95
## 11 11 0.0390 0.0719 -0.0329 0.88
## 12 12 0.0333 0.0365 -0.0032 0.70
## 13 13 0.1041 0.0999 0.0042 0.40
## 14 14 0.0642 0.0533 0.0110 0.25
## 15 15 0.0427 0.1027 -0.0600 0.91
## 16 16 0.0502 0.0713 -0.0210 0.86
## 17 17 0.1105 0.1036 0.0069 0.42
## 18 18 0.0885 0.9291 -0.8406 0.96
## 19 19 0.0274 0.8956 -0.8681 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.6669 0.0266 0.6403 0.00
## 2 0.5522 0.0206 0.5315 0.00
## 3 0.6052 0.1291 0.4761 0.00
## 4 0.7770 0.2122 0.5648 0.00
## 5 NaN 0.0436 NaN NA
## 6 0.0280 0.0299 -0.0019 0.61
## 7 0.6724 0.0436 0.6288 0.01
## 8 0.2674 0.8229 -0.5556 0.99
## 9 0.0602 0.3183 -0.2581 1.00
## 10 0.0231 0.2266 -0.2035 1.00
## 11 0.0635 0.3589 -0.2954 1.00
## 12 0.0265 0.0989 -0.0724 0.96
## 13 0.4052 0.2612 0.1441 0.30
## 14 0.4052 0.2662 0.1390 0.24
## 15 0.2311 0.0278 0.2032 0.00
## 16 0.0975 0.2092 -0.1118 0.80
## 17 0.3479 0.0222 0.3257 0.00
## 18 0.3982 0.0259 0.3723 0.00
## 19 0.5647 0.0307 0.5340 0.00
res.peaks_clean_mean_auc[[5]]
## $p
## p.client p.staff
## 0.1619099 0.1777546
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.0462 0.0335 0.0126 0.40
## 2 2 0.0356 NaN NaN NA
## 3 3 0.0458 0.0238 0.0220 0.05
## 4 4 0.0184 0.0219 -0.0035 0.72
## 5 5 0.0197 0.0220 -0.0023 0.66
## 6 6 0.0440 0.0400 0.0040 0.46
## 7 7 0.0683 0.0202 0.0481 0.00
## 8 8 0.0541 NaN NaN NA
## 9 9 0.0207 NaN NaN NA
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.0598 0.0503 0.0094 0.15
## 2 0.0778 0.0772 0.0006 0.57
## 3 0.2722 0.2203 0.0518 0.37
## 4 0.0385 0.5895 -0.5510 1.00
## 5 1.9025 0.5895 1.3130 0.25
## 6 0.4773 0.7234 -0.2461 0.87
## 7 0.2460 0.2161 0.0300 0.48
## 8 0.5493 0.0551 0.4942 0.00
## 9 0.4218 0.0962 0.3256 0.00
res.peaks_clean_mean_auc[[6]]
## $p
## p.client p.staff
## 0.908242214 0.001574279
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.0219 0.0219 -0.0001 0.51
## 2 2 NaN 0.1122 NaN NA
## 3 3 NaN 0.0372 NaN NA
## 4 4 0.2053 0.0528 0.1525 0.00
## 5 5 0.0537 0.0404 0.0133 0.22
## 6 6 0.0262 0.1518 -0.1256 0.99
## 7 7 0.0387 0.1122 -0.0734 0.98
## 8 8 0.0219 0.0528 -0.0309 0.91
## 9 9 0.0310 0.0268 0.0041 0.05
## 10 10 0.0133 0.1553 -0.1420 1.00
## 11 11 0.0176 0.0720 -0.0544 1.00
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.5013 0.7752 -0.2738 1.00
## 2 0.3511 0.5660 -0.2149 1.00
## 3 0.4406 0.2153 0.2253 0.00
## 4 0.3866 0.0926 0.2940 0.00
## 5 0.8477 0.3530 0.4947 0.05
## 6 1.4313 0.5930 0.8383 0.00
## 7 0.5367 0.5660 -0.0293 0.47
## 8 0.1430 0.0926 0.0504 0.13
## 9 0.3135 0.0251 0.2884 0.00
## 10 0.2568 0.1732 0.0836 0.09
## 11 0.3175 0.1236 0.1939 0.01
res.peaks_clean_mean_auc[[7]]
## $p
## p.client p.staff
## 0.9260979 0.1747719
##
## $p.inc
## Incident Mean Incident Client Mean Control Client Diff. Client p Client
## 1 1 0.1965 0.1888 0.0077 0.55
## 2 2 0.0367 0.0432 -0.0065 0.81
## 3 3 0.1083 0.0258 0.0825 0.00
## 4 4 0.1726 0.0254 0.1471 0.00
## 5 5 0.0198 0.3576 -0.3378 1.00
## 6 6 0.1302 0.5076 -0.3774 1.00
## 7 7 0.1302 0.4679 -0.3377 1.00
## 8 8 0.0966 0.2734 -0.1768 1.00
## 9 9 0.3452 0.2016 0.1435 0.40
## Mean Incident Staff Mean Control Staff Diff. Staff p Staff
## 1 0.2555 0.0353 0.2201 0.00
## 2 0.0472 0.1563 -0.1091 1.00
## 3 0.4540 0.2223 0.2317 0.00
## 4 0.4849 0.3125 0.1724 0.00
## 5 0.2579 0.0677 0.1902 0.07
## 6 0.2934 0.0676 0.2258 0.00
## 7 0.0353 0.0954 -0.0602 1.00
## 8 0.0257 0.1561 -0.1304 1.00
## 9 0.1717 0.1951 -0.0234 0.61
boxplot(res.peaks_clean_mean_auc)