Example dataset from the Standardized Monitoring and Assessment of Relief and Transitions (SMART) capacity building toolbox found at <http://smartmethodology.org/survey-planning-tools/smart-capacity-building-toolbox/>. The dataset has been restructured into a less wide format compared to the original wide format.
Format
A data frame with 8 columns and 110 rows:
| **Variable** | **Description** | | :--- | :--- | | *subject* | Unique identifier of subjects who were measured | | *observer* | Unique identifier for those who performed the measurements | | *weight1* | First weight measurement. Units in kilograms | | *weight2* | Second weight measurement. Units in kilograms | | *height1* | First height measurement. Units in centimetres | | *height2* | Second height measurement. Units in centimetres | | *muac1* | First mid-upper arm circumference measurement. Units in millimetres | | *muac* | Second mid-upper arm circumference measurement. Units in millimetres |
Source
Standardized Monitoring and Assessment of Relief and Transitions (SMART) capacity building toolbox found at <http://smartmethodology.org/survey-planning-tools/smart-capacity-building-toolbox/>.
Examples
smartStd
#> subject observer weight1 weight2 height1 height2 muac1 muac2
#> 1 1 0 15.9 16.0 102.0 102.3 170 170
#> 2 2 0 14.2 14.3 94.8 94.3 160 158
#> 3 3 0 16.7 16.7 97.2 97.2 184 173
#> 4 4 0 14.1 14.2 93.1 93.2 174 164
#> 5 5 0 14.8 14.6 99.6 99.1 155 160
#> 6 6 0 16.2 16.1 98.9 98.3 173 170
#> 7 7 0 10.5 10.5 83.5 83.5 145 145
#> 8 8 0 16.5 16.4 98.0 98.0 170 171
#> 9 9 0 14.1 14.3 95.1 92.9 163 160
#> 10 10 0 13.5 13.5 94.7 94.2 162 160
#> 11 1 1 16.1 15.9 101.3 101.8 167 163
#> 12 2 1 14.1 14.2 94.4 94.3 152 154
#> 13 3 1 16.7 16.1 96.5 96.8 172 176
#> 14 4 1 13.7 13.4 92.4 93.0 154 154
#> 15 5 1 14.0 14.6 99.3 99.4 146 154
#> 16 6 1 16.0 15.8 98.1 19.2 168 169
#> 17 7 1 10.9 10.1 83.9 14.1 140 140
#> 18 8 1 16.3 15.5 98.0 97.8 168 169
#> 19 9 1 14.0 14.1 94.4 94.4 157 161
#> 20 10 1 13.2 13.5 94.4 93.9 154 154
#> 21 1 2 16.0 15.9 101.5 101.1 164 164
#> 22 2 2 14.2 14.2 94.6 93.6 145 143
#> 23 3 2 16.3 16.6 97.3 95.9 181 174
#> 24 4 2 14.1 14.0 93.2 92.8 157 151
#> 25 5 2 14.5 14.6 100.1 99.3 153 149
#> 26 6 2 15.9 16.2 97.8 98.2 164 163
#> 27 7 2 10.4 10.5 83.7 134.0 134 141
#> 28 8 2 16.3 16.2 97.6 97.2 165 165
#> 29 9 2 14.1 14.2 94.5 93.8 152 150
#> 30 10 2 13.4 13.6 93.9 94.2 152 152
#> 31 1 3 16.0 15.8 101.6 102.5 171 174
#> 32 2 3 14.3 14.2 94.2 94.3 153 155
#> 33 3 3 16.6 16.6 97.1 97.1 179 184
#> 34 4 3 14.2 14.1 92.6 93.1 155 154
#> 35 5 3 14.5 14.5 100.0 100.0 147 15
#> 36 6 3 16.0 16.1 98.9 98.6 172 170
#> 37 7 3 10.5 10.5 83.5 84.1 137 146
#> 38 8 3 16.3 16.3 98.1 98.2 170 170
#> 39 9 3 14.1 14.0 94.0 94.2 156 153
#> 40 10 3 13.5 13.5 94.8 95.2 152 154
#> 41 1 4 16.1 15.9 100.2 102.2 162 170
#> 42 2 4 14.3 13.9 94.3 94.8 157 150
#> 43 3 4 16.7 16.2 96.6 97.1 180 180
#> 44 4 4 14.2 14.1 92.4 93.1 151 157
#> 45 5 4 14.5 14.5 99.3 99.3 148 153
#> 46 6 4 16.0 15.9 98.4 98.4 168 167
#> 47 7 4 10.5 10.5 83.3 83.3 134 141
#> 48 8 4 16.4 16.1 97.4 97.8 170 171
#> 49 9 4 14.1 14.1 95.5 94.2 158 164
#> 50 10 4 13.4 13.5 95.3 93.7 158 155
#> 51 1 5 15.9 15.8 100.2 101.2 173 172
#> 52 2 5 14.4 14.2 92.5 94.1 156 157
#> 53 3 5 16.7 16.7 96.1 95.1 172 177
#> 54 4 5 14.1 14.1 92.2 92.8 155 155
#> 55 5 5 14.5 14.6 99.0 99.2 152 150
#> 56 6 5 10.0 16.2 97.9 97.2 169 167
#> 57 7 5 10.5 10.4 83.3 83.3 140 143
#> 58 8 5 16.3 16.3 97.2 97.6 168 173
#> 59 9 5 14.0 14.1 93.1 93.2 160 157
#> 60 10 5 13.5 13.4 93.5 93.7 157 196
#> 61 1 6 15.9 15.9 101.4 101.5 167 173
#> 62 2 6 14.4 14.4 93.2 93.1 156 151
#> 63 3 6 16.6 16.3 96.6 96.5 171 167
#> 64 4 6 14.3 14.2 92.2 91.7 152 155
#> 65 5 6 14.5 14.6 99.3 99.8 151 155
#> 66 6 6 16.1 16.2 98.4 97.7 168 175
#> 67 7 6 10.5 10.5 83.9 83.9 134 134
#> 68 8 6 16.8 16.3 97.2 97.1 171 176
#> 69 9 6 14.2 14.1 92.1 92.0 151 153
#> 70 10 6 13.6 13.6 93.6 94.1 151 152
#> 71 1 7 16.0 15.9 102.1 101.6 165 160
#> 72 2 7 14.2 14.1 93.7 94.2 148 155
#> 73 3 7 16.3 16.7 96.7 96.9 173 167
#> 74 4 7 14.2 14.3 92.5 93.0 159 151
#> 75 5 7 14.6 14.7 99.3 99.5 152 140
#> 76 6 7 16.1 16.1 98.6 98.0 169 164
#> 77 7 7 10.7 10.7 83.4 83.4 139 139
#> 78 8 7 16.3 16.4 98.5 97.7 170 175
#> 79 9 7 14.3 14.3 93.5 93.7 158 186
#> 80 10 7 13.7 13.7 94.0 93.5 156 152
#> 81 1 8 16.0 15.9 102.1 102.3 170 169
#> 82 2 8 14.3 14.2 94.4 94.3 150 152
#> 83 3 8 17.0 16.6 97.4 97.0 176 173
#> 84 4 8 14.2 14.2 93.1 92.5 151 159
#> 85 5 8 14.5 14.6 99.5 101.0 147 149
#> 86 6 8 16.2 16.1 98.8 98.4 170 165
#> 87 7 8 10.3 10.5 84.5 84.5 141 141
#> 88 8 8 16.4 16.3 98.0 98.0 171 172
#> 89 9 8 14.2 14.2 92.2 93.9 159 158
#> 90 10 8 13.6 13.7 94.0 94.4 166 156
#> 91 1 9 16.0 15.9 102.2 102.4 162 162
#> 92 2 9 14.2 14.2 93.9 93.7 154 159
#> 93 3 9 16.4 16.6 97.1 97.1 166 166
#> 94 4 9 14.2 14.2 92.9 92.6 148 148
#> 95 5 9 14.7 14.6 99.2 99.4 147 147
#> 96 6 9 16.1 16.1 98.6 98.5 162 162
#> 97 7 9 10.5 10.5 94.0 94.1 111 112
#> 98 8 9 16.4 16.3 97.8 97.2 167 176
#> 99 9 9 14.1 14.2 94.7 93.6 181 181
#> 100 10 9 14.1 13.7 94.5 93.6 150 150
#> 101 1 10 15.9 15.0 102.0 102.0 169 165
#> 102 2 10 14.2 14.3 94.1 93.9 154 152
#> 103 3 10 16.7 16.2 96.5 97.1 175 171
#> 104 4 10 14.2 14.1 93.0 93.0 155 153
#> 105 5 10 14.6 14.6 99.5 98.6 150 147
#> 106 6 10 16.1 16.1 97.5 97.8 170 165
#> 107 7 10 10.5 10.5 84.5 84.5 141 141
#> 108 8 10 16.4 16.3 97.5 97.5 169 171
#> 109 9 10 14.2 14.2 93.5 94.4 159 161
#> 110 10 10 14.5 13.7 94.7 94.6 155 156