Description Usage Arguments Value Examples

View source: R/calculate_precision.R

Calculate the precision of a list of interactions at each point in the list, given a set of labels.

1 |

`labels` |
a vector of zeroes (FPs) and ones (TPs) |

a vector of the same length giving the precision at each point in the input vector

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
## calculate features
data(scott)
data(scott_gaussians)
subset <- scott[seq_len(500), ] ## limit to first 500 proteins
gauss <- scott_gaussians[names(scott_gaussians) %in% rownames(subset)]
features <- calculate_features(subset, gauss)
## make training labels
data(gold_standard)
ref <- adjacency_matrix_from_list(gold_standard)
labels <- make_labels(ref, features)
## predict interactions with naive Bayes classifier
ppi <- predict_ensemble(features, labels, classifier = "NB", cv_folds = 3,
models = 1)
## tag precision of each interaction
ppi$precision <- calculate_precision(ppi$label)
``` |

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