Figure 2.

Parameter space exploration using linear discriminant analysis (LDA). (a) Probability of each class over all simulation outcomes. Frequencies of each class at the end of 500 time steps - ‘no plasmid’ (red), ‘high co-infection’ (green) or ‘low co-infection’ (blue)—are given for 6100 parameter sets randomly sampled over [0, 0.5] for m_i and [0, 1] for k_i,j (= 2k_i,AB), β_i and c_i. (b) LDA using the three classes shown in (a) (same colour scheme). Arrows show the magnitude and direction of the parameters varied (e.g. the shorter arrow of c_i indicates lower significance of this parameter in class separation, whereas m_i and k_i,j (k_i,AB) are most important in separating high from low co-infection areas).