Long COVID
Bhanu Sharma & Team
2023-10-06
PMCSMS
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | pmcsms | 97 | 10.4 | 40 | 26 | 19.0 | 29.0 | 10.0 | 7.710 | 24.513 | 6.465 | 0.656 | 1.303 |
| 2 | pmcsms | 98 | 10.4 | 40 | 24 | 20.8 | 28.0 | 7.2 | 5.930 | 24.261 | 5.646 | 0.570 | 1.132 |
| 3 | pmcsms | 30 | 15.0 | 31 | 22 | 20.0 | 26.5 | 6.5 | 3.706 | 22.900 | 4.428 | 0.809 | 1.654 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | pmcsms | 100 | 10.4 | 40 | 22.0 | 19.00 | 27.4 | 8.40 | 5.634 | 23.030 | 5.766 | 0.577 | 1.144 |
| 2 | pmcsms | 67 | 12.0 | 34 | 25.0 | 20.90 | 29.0 | 8.10 | 5.930 | 24.442 | 5.523 | 0.675 | 1.347 |
| 3 | pmcsms | 58 | 14.0 | 37 | 27.5 | 20.25 | 30.0 | 9.75 | 6.079 | 25.893 | 6.100 | 0.801 | 1.604 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | pmcsms | 152 | 10.4 | 40 | 24 | 20.8 | 29 | 8.2 | 5.930 | 24.562 | 5.685 | 0.461 | 0.911 |
| 2 | pmcsms | 73 | 11.0 | 37 | 24 | 18.0 | 28 | 10.0 | 7.413 | 23.411 | 6.222 | 0.728 | 1.452 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | pmcsms | 43 | 10.4 | 40 | 22.0 | 19.00 | 28.40 | 9.40 | 7.710 | 23.530 | 6.383 | 0.973 | 1.965 |
| 1 | 2 | pmcsms | 28 | 12.0 | 33 | 26.0 | 18.75 | 29.50 | 10.75 | 7.561 | 24.550 | 6.570 | 1.242 | 2.548 |
| 1 | 3 | pmcsms | 26 | 14.0 | 37 | 28.5 | 20.50 | 30.00 | 9.50 | 5.337 | 26.100 | 6.412 | 1.258 | 2.590 |
| 2 | 1 | pmcsms | 42 | 10.4 | 40 | 21.8 | 19.00 | 25.00 | 6.00 | 4.744 | 22.505 | 5.762 | 0.889 | 1.796 |
| 2 | 2 | pmcsms | 31 | 18.0 | 34 | 25.0 | 22.00 | 28.00 | 6.00 | 4.448 | 24.910 | 4.392 | 0.789 | 1.611 |
| 2 | 3 | pmcsms | 25 | 16.0 | 37 | 25.0 | 22.00 | 31.00 | 9.00 | 7.413 | 26.408 | 6.103 | 1.221 | 2.519 |
| 3 | 1 | pmcsms | 15 | 18.0 | 31 | 23.0 | 20.50 | 24.50 | 4.00 | 2.965 | 23.067 | 3.751 | 0.968 | 2.077 |
| 3 | 2 | pmcsms | 8 | 15.0 | 31 | 21.5 | 19.00 | 25.25 | 6.25 | 5.930 | 22.250 | 5.651 | 1.998 | 4.724 |
| 3 | 3 | pmcsms | 7 | 17.0 | 29 | 21.0 | 20.00 | 28.00 | 8.00 | 5.930 | 23.286 | 4.889 | 1.848 | 4.522 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between PMCSMS scores at each timepoint
Correlation between PMCSMS scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
DASS - Total
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | dass_total | 97 | 2 | 114 | 42 | 22.0 | 60.0 | 38.0 | 29.652 | 44.598 | 27.361 | 2.778 | 5.514 |
| 2 | dass_total | 98 | 8 | 124 | 40 | 30.0 | 57.5 | 27.5 | 20.756 | 45.755 | 23.150 | 2.339 | 4.641 |
| 3 | dass_total | 30 | 20 | 106 | 59 | 38.5 | 71.5 | 33.0 | 26.687 | 56.933 | 22.820 | 4.166 | 8.521 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | dass_total | 100 | 6 | 124 | 46 | 33.5 | 72.0 | 38.5 | 25.204 | 51.880 | 25.973 | 2.597 | 5.154 |
| 2 | dass_total | 67 | 8 | 118 | 38 | 23.0 | 64.0 | 41.0 | 26.687 | 43.970 | 24.140 | 2.949 | 5.888 |
| 3 | dass_total | 58 | 2 | 106 | 38 | 24.0 | 52.5 | 28.5 | 20.756 | 41.103 | 23.830 | 3.129 | 6.266 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | dass_total | 152 | 6 | 124 | 42 | 27.5 | 62 | 34.5 | 25.204 | 46.50 | 24.539 | 1.990 | 3.933 |
| 2 | dass_total | 73 | 2 | 114 | 40 | 26.0 | 64 | 38.0 | 23.722 | 47.26 | 26.784 | 3.135 | 6.249 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | dass_total | 43 | 6 | 114 | 46 | 31.0 | 70.0 | 39.0 | 26.687 | 52.000 | 27.509 | 4.195 | 8.466 |
| 1 | 2 | dass_total | 28 | 8 | 86 | 32 | 20.0 | 53.5 | 33.5 | 23.722 | 39.286 | 24.587 | 4.646 | 9.534 |
| 1 | 3 | dass_total | 26 | 2 | 106 | 36 | 18.5 | 46.0 | 27.5 | 22.239 | 38.077 | 27.934 | 5.478 | 11.283 |
| 2 | 1 | dass_total | 42 | 8 | 124 | 44 | 32.5 | 73.5 | 41.0 | 22.239 | 50.667 | 26.169 | 4.038 | 8.155 |
| 2 | 2 | dass_total | 31 | 16 | 118 | 38 | 26.0 | 56.0 | 30.0 | 20.756 | 44.194 | 23.429 | 4.208 | 8.594 |
| 2 | 3 | dass_total | 25 | 14 | 70 | 38 | 32.0 | 48.0 | 16.0 | 14.826 | 39.440 | 14.939 | 2.988 | 6.167 |
| 3 | 1 | dass_total | 15 | 20 | 106 | 56 | 39.0 | 69.0 | 30.0 | 23.722 | 54.933 | 21.907 | 5.656 | 12.132 |
| 3 | 2 | dass_total | 8 | 20 | 84 | 66 | 54.0 | 71.0 | 17.0 | 10.378 | 59.500 | 21.132 | 7.471 | 17.667 |
| 3 | 3 | dass_total | 7 | 24 | 96 | 58 | 33.0 | 82.0 | 49.0 | 41.513 | 58.286 | 29.244 | 11.053 | 27.047 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between DASS Total scores at each timepoint
Correlation between DASS_Total scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
QOL - Total
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | qol | 96 | 20 | 66 | 42 | 35 | 50.00 | 15.00 | 10.378 | 42.625 | 9.763 | 0.996 | 1.978 |
| 2 | qol | 98 | 22 | 55 | 40 | 35 | 46.75 | 11.75 | 8.896 | 40.327 | 7.500 | 0.758 | 1.504 |
| 3 | qol | 30 | 21 | 54 | 38 | 35 | 41.75 | 6.75 | 4.448 | 38.333 | 6.354 | 1.160 | 2.372 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | qol | 100 | 22 | 66 | 39 | 34 | 44 | 10 | 7.413 | 39.460 | 7.979 | 0.798 | 1.583 |
| 2 | qol | 67 | 27 | 63 | 42 | 36 | 48 | 12 | 8.896 | 42.164 | 8.216 | 1.004 | 2.004 |
| 3 | qol | 57 | 20 | 60 | 41 | 37 | 51 | 14 | 11.861 | 42.509 | 9.427 | 1.249 | 2.501 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | qol | 151 | 20 | 59 | 40 | 35 | 46 | 11 | 7.413 | 40.801 | 7.882 | 0.641 | 1.267 |
| 2 | qol | 73 | 22 | 66 | 40 | 35 | 49 | 14 | 10.378 | 41.548 | 9.750 | 1.141 | 2.275 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | qol | 43 | 23 | 66 | 38.0 | 34.00 | 47.50 | 13.50 | 8.896 | 40.721 | 9.625 | 1.468 | 2.962 |
| 1 | 2 | qol | 28 | 29 | 63 | 42.5 | 38.50 | 51.25 | 12.75 | 9.637 | 44.357 | 8.702 | 1.644 | 3.374 |
| 1 | 3 | qol | 25 | 20 | 60 | 45.0 | 36.00 | 53.00 | 17.00 | 13.343 | 43.960 | 10.868 | 2.174 | 4.486 |
| 2 | 1 | qol | 42 | 22 | 51 | 39.0 | 34.00 | 44.00 | 10.00 | 7.413 | 38.286 | 7.175 | 1.107 | 2.236 |
| 2 | 2 | qol | 31 | 27 | 55 | 42.0 | 34.50 | 47.00 | 12.50 | 8.896 | 41.194 | 7.631 | 1.371 | 2.799 |
| 2 | 3 | qol | 25 | 31 | 54 | 41.0 | 38.00 | 49.00 | 11.00 | 10.378 | 42.680 | 7.250 | 1.450 | 2.993 |
| 3 | 1 | qol | 15 | 34 | 46 | 40.0 | 36.50 | 41.50 | 5.00 | 2.965 | 39.133 | 3.523 | 0.910 | 1.951 |
| 3 | 2 | qol | 8 | 27 | 52 | 37.0 | 34.75 | 42.00 | 7.25 | 5.930 | 38.250 | 7.344 | 2.596 | 6.139 |
| 3 | 3 | qol | 7 | 21 | 54 | 37.0 | 33.50 | 39.00 | 5.50 | 4.448 | 36.714 | 9.928 | 3.753 | 9.182 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between QOL Total scores at each timepoint
Correlation between QOL scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
AIIR outcomes
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | aiir | 97 | 13 | 85 | 56.0 | 40.00 | 67.0 | 27.00 | 19.274 | 53.485 | 18.208 | 1.849 | 3.670 |
| 2 | aiir | 101 | 13 | 91 | 52.0 | 40.00 | 65.0 | 25.00 | 19.274 | 51.931 | 15.497 | 1.542 | 3.059 |
| 3 | aiir | 30 | 36 | 85 | 54.5 | 45.25 | 62.5 | 17.25 | 13.343 | 55.467 | 12.547 | 2.291 | 4.685 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | aiir | 101 | 13 | 91 | 56 | 41 | 67.0 | 26.0 | 20.756 | 54.069 | 17.471 | 1.738 | 3.449 |
| 2 | aiir | 70 | 21 | 86 | 55 | 42 | 64.5 | 22.5 | 14.826 | 52.757 | 15.496 | 1.852 | 3.695 |
| 3 | aiir | 57 | 16 | 83 | 53 | 41 | 65.0 | 24.0 | 17.791 | 51.632 | 15.474 | 2.050 | 4.106 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | aiir | 151 | 13 | 86 | 56 | 42 | 66 | 24 | 16.309 | 53.828 | 16.078 | 1.308 | 2.585 |
| 2 | aiir | 77 | 13 | 91 | 52 | 40 | 61 | 21 | 16.309 | 51.545 | 16.891 | 1.925 | 3.834 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | aiir | 44 | 13 | 84 | 57.0 | 41.75 | 70.75 | 29.00 | 22.980 | 56.341 | 18.200 | 2.744 | 5.533 |
| 1 | 2 | aiir | 28 | 21 | 85 | 54.5 | 41.00 | 67.00 | 26.00 | 18.532 | 52.107 | 18.160 | 3.432 | 7.042 |
| 1 | 3 | aiir | 25 | 16 | 83 | 55.0 | 35.00 | 64.00 | 29.00 | 20.756 | 50.000 | 18.214 | 3.643 | 7.518 |
| 2 | 1 | aiir | 42 | 13 | 91 | 52.5 | 39.25 | 66.00 | 26.75 | 20.015 | 52.381 | 18.381 | 2.836 | 5.728 |
| 2 | 2 | aiir | 34 | 27 | 86 | 50.5 | 39.50 | 62.50 | 23.00 | 17.050 | 51.941 | 13.740 | 2.356 | 4.794 |
| 2 | 3 | aiir | 25 | 23 | 70 | 52.0 | 42.00 | 60.00 | 18.00 | 14.826 | 51.160 | 12.763 | 2.553 | 5.268 |
| 3 | 1 | aiir | 15 | 36 | 73 | 52.0 | 43.50 | 59.50 | 16.00 | 14.826 | 52.133 | 12.023 | 3.104 | 6.658 |
| 3 | 2 | aiir | 8 | 39 | 85 | 57.5 | 54.50 | 60.25 | 5.75 | 4.448 | 58.500 | 12.739 | 4.504 | 10.650 |
| 3 | 3 | aiir | 7 | 46 | 81 | 53.0 | 49.00 | 68.00 | 19.00 | 10.378 | 59.143 | 13.359 | 5.049 | 12.355 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between AIIR Total scores at each timepoint
Correlation between AIIR scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
LOTR
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | lotr | 96 | 6 | 30 | 22 | 16.00 | 26.00 | 10.0 | 7.413 | 20.354 | 6.601 | 0.674 | 1.338 |
| 2 | lotr | 100 | 11 | 30 | 19 | 16.00 | 23.00 | 7.0 | 4.448 | 19.740 | 4.552 | 0.455 | 0.903 |
| 3 | lotr | 30 | 6 | 29 | 19 | 13.25 | 24.75 | 11.5 | 8.896 | 18.700 | 7.202 | 1.315 | 2.689 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | lotr | 100 | 6 | 30 | 19.5 | 16 | 25 | 9 | 5.930 | 19.450 | 5.861 | 0.586 | 1.163 |
| 2 | lotr | 70 | 7 | 30 | 20.5 | 16 | 25 | 9 | 6.672 | 20.086 | 5.965 | 0.713 | 1.422 |
| 3 | lotr | 56 | 7 | 30 | 20.0 | 17 | 24 | 7 | 5.930 | 20.321 | 5.834 | 0.780 | 1.562 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | lotr | 151 | 6 | 30 | 19 | 15 | 24 | 9 | 7.413 | 19.06 | 6.049 | 0.492 | 0.973 |
| 2 | lotr | 75 | 6 | 30 | 21 | 18 | 26 | 8 | 5.930 | 21.48 | 5.171 | 0.597 | 1.190 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | lotr | 43 | 6 | 29 | 21.0 | 16.00 | 25.00 | 9.00 | 7.413 | 19.884 | 6.430 | 0.981 | 1.979 |
| 1 | 2 | lotr | 28 | 9 | 30 | 22.5 | 16.00 | 26.00 | 10.00 | 8.154 | 20.893 | 6.757 | 1.277 | 2.620 |
| 1 | 3 | lotr | 25 | 8 | 30 | 22.0 | 16.00 | 27.00 | 11.00 | 7.413 | 20.560 | 6.929 | 1.386 | 2.860 |
| 2 | 1 | lotr | 42 | 11 | 30 | 19.0 | 16.00 | 22.00 | 6.00 | 4.448 | 19.452 | 4.527 | 0.699 | 1.411 |
| 2 | 2 | lotr | 34 | 11 | 29 | 19.0 | 16.00 | 23.75 | 7.75 | 5.189 | 19.824 | 4.988 | 0.855 | 1.740 |
| 2 | 3 | lotr | 24 | 12 | 28 | 20.0 | 18.00 | 22.00 | 4.00 | 2.965 | 20.125 | 4.079 | 0.833 | 1.722 |
| 3 | 1 | lotr | 15 | 6 | 27 | 18.0 | 12.50 | 26.00 | 13.50 | 10.378 | 18.200 | 7.523 | 1.943 | 4.166 |
| 3 | 2 | lotr | 8 | 7 | 28 | 20.0 | 12.75 | 23.25 | 10.50 | 8.154 | 18.375 | 7.150 | 2.528 | 5.978 |
| 3 | 3 | lotr | 7 | 7 | 29 | 22.0 | 17.00 | 24.50 | 7.50 | 5.930 | 20.143 | 7.471 | 2.824 | 6.909 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between LOTR Total scores at each timepoint
Correlation between LOTR scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
SSS
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sss | 96 | 3 | 29 | 13.5 | 9.75 | 18.25 | 8.50 | 6.672 | 14.083 | 6.389 | 0.652 | 1.294 |
| 2 | sss | 100 | 0 | 31 | 16.5 | 14.00 | 20.25 | 6.25 | 5.189 | 17.000 | 5.339 | 0.534 | 1.059 |
| 3 | sss | 30 | 6 | 25 | 18.0 | 16.25 | 21.00 | 4.75 | 4.448 | 17.767 | 4.651 | 0.849 | 1.737 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sss | 100 | 0 | 31 | 16.0 | 12 | 20.00 | 8.00 | 5.930 | 16.080 | 6.091 | 0.609 | 1.209 |
| 2 | sss | 70 | 3 | 25 | 15.0 | 12 | 18.75 | 6.75 | 4.448 | 15.143 | 5.414 | 0.647 | 1.291 |
| 3 | sss | 56 | 3 | 30 | 16.5 | 12 | 21.00 | 9.00 | 6.672 | 16.375 | 6.204 | 0.829 | 1.662 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sss | 151 | 0 | 31 | 16 | 13 | 20.0 | 7.0 | 5.93 | 16.238 | 5.861 | 0.477 | 0.942 |
| 2 | sss | 75 | 3 | 28 | 15 | 11 | 19.5 | 8.5 | 5.93 | 15.107 | 5.986 | 0.691 | 1.377 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | sss | 43 | 3 | 28 | 14.0 | 10.00 | 19.00 | 9.00 | 7.413 | 14.581 | 6.751 | 1.030 | 2.078 |
| 1 | 2 | sss | 28 | 4 | 25 | 13.0 | 9.50 | 15.25 | 5.75 | 4.448 | 13.000 | 5.416 | 1.024 | 2.100 |
| 1 | 3 | sss | 25 | 3 | 29 | 14.0 | 9.00 | 17.00 | 8.00 | 7.413 | 14.440 | 6.844 | 1.369 | 2.825 |
| 2 | 1 | sss | 42 | 0 | 31 | 16.5 | 14.00 | 20.00 | 6.00 | 5.189 | 17.119 | 5.684 | 0.877 | 1.771 |
| 2 | 2 | sss | 34 | 3 | 25 | 16.0 | 13.00 | 20.75 | 7.75 | 5.189 | 16.471 | 4.980 | 0.854 | 1.738 |
| 2 | 3 | sss | 24 | 7 | 30 | 17.5 | 14.75 | 21.25 | 6.50 | 5.189 | 17.542 | 5.365 | 1.095 | 2.265 |
| 3 | 1 | sss | 15 | 10 | 25 | 18.0 | 14.50 | 20.50 | 6.00 | 4.448 | 17.467 | 4.340 | 1.121 | 2.404 |
| 3 | 2 | sss | 8 | 6 | 25 | 17.0 | 16.75 | 18.50 | 1.75 | 1.483 | 17.000 | 5.292 | 1.871 | 4.424 |
| 3 | 3 | sss | 7 | 10 | 25 | 21.0 | 17.50 | 22.00 | 4.50 | 4.448 | 19.286 | 4.923 | 1.861 | 4.553 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between SSS Total scores at each timepoint
Correlation between sss scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
COPE-POS
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | cope_pos | 96 | 19 | 52 | 37 | 32.0 | 43.00 | 11.00 | 7.413 | 37.365 | 7.531 | 0.769 | 1.526 |
| 2 | cope_pos | 99 | 21 | 58 | 42 | 33.5 | 46.00 | 12.50 | 8.896 | 39.657 | 8.505 | 0.855 | 1.696 |
| 3 | cope_pos | 30 | 22 | 55 | 39 | 34.0 | 43.75 | 9.75 | 7.413 | 38.967 | 7.252 | 1.324 | 2.708 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | cope_pos | 99 | 19 | 55 | 38 | 33.00 | 44.00 | 11.0 | 8.896 | 37.889 | 8.068 | 0.811 | 1.609 |
| 2 | cope_pos | 70 | 25 | 55 | 39 | 32.25 | 44.75 | 12.5 | 9.637 | 39.186 | 7.626 | 0.911 | 1.818 |
| 3 | cope_pos | 56 | 22 | 58 | 39 | 32.00 | 46.00 | 14.0 | 10.378 | 39.071 | 8.294 | 1.108 | 2.221 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | cope_pos | 150 | 19 | 58 | 39 | 33 | 46 | 13 | 10.378 | 39.247 | 8.133 | 0.664 | 1.312 |
| 2 | cope_pos | 75 | 21 | 51 | 37 | 32 | 44 | 12 | 8.896 | 37.267 | 7.543 | 0.871 | 1.736 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | cope_pos | 43 | 19 | 52 | 38.0 | 32.50 | 43.50 | 11.00 | 8.896 | 37.372 | 7.925 | 1.209 | 2.439 |
| 1 | 2 | cope_pos | 28 | 25 | 51 | 38.0 | 33.50 | 43.25 | 9.75 | 8.154 | 38.429 | 7.131 | 1.348 | 2.765 |
| 1 | 3 | cope_pos | 25 | 25 | 51 | 33.0 | 32.00 | 43.00 | 11.00 | 4.448 | 36.160 | 7.386 | 1.477 | 3.049 |
| 2 | 1 | cope_pos | 41 | 21 | 52 | 38.0 | 32.00 | 46.00 | 14.00 | 11.861 | 38.268 | 8.582 | 1.340 | 2.709 |
| 2 | 2 | cope_pos | 34 | 25 | 55 | 41.0 | 32.25 | 46.00 | 13.75 | 10.378 | 39.676 | 8.466 | 1.452 | 2.954 |
| 2 | 3 | cope_pos | 24 | 22 | 58 | 43.0 | 36.75 | 46.25 | 9.50 | 7.413 | 42.000 | 8.251 | 1.684 | 3.484 |
| 3 | 1 | cope_pos | 15 | 22 | 55 | 39.0 | 34.50 | 40.50 | 6.00 | 5.930 | 38.333 | 7.442 | 1.921 | 4.121 |
| 3 | 2 | cope_pos | 8 | 32 | 49 | 40.5 | 35.75 | 43.25 | 7.50 | 5.189 | 39.750 | 5.946 | 2.102 | 4.971 |
| 3 | 3 | cope_pos | 7 | 27 | 51 | 40.0 | 32.50 | 46.50 | 14.00 | 10.378 | 39.429 | 9.034 | 3.415 | 8.355 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between cope_pos Total scores at each timepoint
Correlation between cope_pos scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
Negative Coping
Descriptive tables
| intervention | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | cope_neg | 96 | 13 | 46 | 21.0 | 18 | 23.0 | 5.0 | 4.448 | 21.469 | 5.970 | 0.609 | 1.210 |
| 2 | cope_neg | 99 | 12 | 31 | 21.0 | 18 | 24.5 | 6.5 | 4.448 | 21.202 | 4.389 | 0.441 | 0.875 |
| 3 | cope_neg | 30 | 16 | 38 | 22.5 | 20 | 25.0 | 5.0 | 3.706 | 22.833 | 4.654 | 0.850 | 1.738 |
| time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | cope_neg | 99 | 12 | 39 | 21 | 18.00 | 25.00 | 7.0 | 5.930 | 21.869 | 5.300 | 0.533 | 1.057 |
| 2 | cope_neg | 70 | 12 | 41 | 21 | 18.25 | 23.75 | 5.5 | 4.448 | 21.214 | 4.517 | 0.540 | 1.077 |
| 3 | cope_neg | 56 | 12 | 46 | 21 | 18.00 | 24.00 | 6.0 | 4.448 | 21.339 | 5.693 | 0.761 | 1.525 |
| delivery_c | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | cope_neg | 150 | 13 | 38 | 21 | 18 | 24.0 | 6.0 | 4.448 | 21.36 | 4.528 | 0.370 | 0.731 |
| 2 | cope_neg | 75 | 12 | 46 | 21 | 18 | 24.5 | 6.5 | 4.448 | 21.88 | 6.256 | 0.722 | 1.439 |
| intervention | time | variable | n | min | max | median | q1 | q3 | iqr | mad | mean | sd | se | ci |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | cope_neg | 43 | 13 | 39 | 21.0 | 18.00 | 25.50 | 7.50 | 5.930 | 21.721 | 5.654 | 0.862 | 1.740 |
| 1 | 2 | cope_neg | 28 | 15 | 41 | 21.0 | 18.75 | 23.00 | 4.25 | 2.965 | 21.714 | 5.643 | 1.066 | 2.188 |
| 1 | 3 | cope_neg | 25 | 13 | 46 | 20.0 | 17.00 | 22.00 | 5.00 | 2.965 | 20.760 | 6.972 | 1.394 | 2.878 |
| 2 | 1 | cope_neg | 41 | 12 | 31 | 21.0 | 18.00 | 25.00 | 7.00 | 5.930 | 21.902 | 5.044 | 0.788 | 1.592 |
| 2 | 2 | cope_neg | 34 | 12 | 27 | 20.5 | 18.00 | 23.00 | 5.00 | 3.706 | 20.559 | 3.670 | 0.629 | 1.280 |
| 2 | 3 | cope_neg | 24 | 12 | 27 | 21.5 | 18.75 | 24.00 | 5.25 | 3.706 | 20.917 | 4.117 | 0.840 | 1.738 |
| 3 | 1 | cope_neg | 15 | 16 | 38 | 22.0 | 19.00 | 24.00 | 5.00 | 4.448 | 22.200 | 5.281 | 1.363 | 2.924 |
| 3 | 2 | cope_neg | 8 | 16 | 26 | 23.0 | 20.75 | 24.25 | 3.50 | 2.965 | 22.250 | 3.240 | 1.146 | 2.709 |
| 3 | 3 | cope_neg | 7 | 17 | 30 | 24.0 | 23.00 | 28.50 | 5.50 | 4.448 | 24.857 | 4.598 | 1.738 | 4.253 |
Boxplots
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
Correlation of responses
Correlation between cope_neg Total scores at each timepoint
Correlation between cope_pos scores at each time point, layered with intervention
Group trajectories
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'