Function reference • Morphoscape

All functions

as_fnc_df(): Convert a data frame to a fnc_df

calcGrpWprime() print(<grp_Wprime>): Compute optimally weighted adaptive landscapes

calcPoly() multiPoly(): Calculate polynomial fits over a surface

calcWprimeBy() print(<by_Wprime>) summary(<by_Wprime>) print(<summary.by_Wprime>): Compute optimally weighted adaptive landscapes by subgroup

calc_Ri(): Function for calculating Pareto optimality, using the formula of Deakin et al

calc_all_lscps(): Calculate adaptive landscapes for a matrix of weights

calc_lscp(): Calculate a single weighted adaptive landscape

calc_lscp_Pareto(): calc_lscp_Pareto

generate_weights(): Generate a matrix containing weight combinations

get_grid(): get_grid

krige_surf() krige_new_data(): Interpolate functional characteristics over a grid

lands.grp.test() multi.lands.grp.test() print(<lands.grp.test>) print(<multi.lands.grp.test>): Significance tests between sets of weights

sum_lscps() mult_lscps() sub_lscps() div_lscps(): Simple Operations on Spatial Data

plot(<kriged_surfaces>): Plots Kriged surfaces of functional characteristics

plot(<wtd_lscp>) plot(<grp_Wprime>) plot(<by_Wprime>): Plot Adaptive Landscapes

plot_ggPareto(): plot_ggPareto

plot_ggsurf(): plot_ggsurf

plot_ggtrade(): plot_ggtrade

plot_lscp_Pareto(): Utility functions for calculating Pareto optimality

resample_grid(): Create a full grid from a set of coordinates

sp_vals_from_grid(): sp_vals_from_grid

turtles: Turtle Humeri

turtles_tree: Trutle Phylogeny

warps: Simulated Shape Warps