petermr
commented
4 years ago Antioxidant DPPH
| Concentration μg/ml | % inhibition by T. bovei essential oil ± SD | % of inhibition by Trolox ± SD |
|---|---|---|
| 1 | 38.65 ± 1.08 | 40.6 ± 0.91 |
| 2 | 47.55 ± 1.34 | 48.7 ± 1.32 |
| 3 | 52.09 ± 1.05 | 56.09 ± 0.83 |
| 5 | 64.19 ± 1.32 | 60.12 ± 1.98 |
| 7 | 64.19 ± 1.83 | 80.12 ± 1.06 |
| 10 | 69.38 ± 1.33 | 87.95 ± 1.66 |
| 20 | 76.29 ± 2.12 | 88.71 ± 1.47 |
| 30 | 81.23 ± 1.43 | 91.55 ± 2.71 |
| 40 | 92.1 ± 1.65 | 91.56 ± 1.93 |
| 50 | 95.95 ± 1.40 | 99.45 ± 2.79 |
| 80 | 97.82 ± 1.87 | 99.55 ± 1.87 |
| 100 | 98.12 ± 1.58 | 99.55 ± 2.64 |
Activity tables have variable numbers of columns and may have parameters (e.g. concentrations). Ideally we should transform to denormalised (e.g tidytables) but that comes later.
Here we try to abstract the different types of tables.
Start by collecting into different activity types, one issue per type. We denote the types here in a single comment and the ne create an issue;