Description Usage Arguments Details
View source: R/process-redcolobus-data.R
Furthermore, this function conducts pre-network data permutations 'n_permutations' times (0 for no permutations) using the function 'permute_scan_data' For each permutation, 'flips_per_permutation' NNs are flipped. Then, the number of times Individual B was recorded as NN of Individual A is counted ('$n_Ind_NN_together_permuted')
1 2 3 4 5 6 7 8 9 10 11 12 | get_dyadic_observations(
ind_nn_df,
presence_df,
i_obs_min = 5,
max_nn_dist = 5,
n_permutations = 0,
set_seed = 1209,
ind_sex_permutation = c("Male", "Female"),
nn_sex_permutation = c("Male", "Female"),
flips_per_permutation = 1,
...
)
|
ind_nn_df |
Data frame with information on indviduals and nearest neighours from red colobus scan data. Created with 'prep_red_colobus_ind_nn_data()' |
presence_df |
Dataframe created with 'get_presence_rc' |
max_nn_dist |
The maximum distance for which an individual is still considered NN. Default is 5 (m) |
n_permutations |
How many permutations should be conducted? |
ind_sex_permutation |
default 'c("Male", "Female")' |
nn_sex_permutation |
default 'c("Male", "Female")' |
flips_per_permutation |
Number of iterations ('NN flips') per permutation |
Limitations: This function cannot (yet) permute within sex classes only. To achieve that, subset scandata and only include females or males before running the function. Set 'ind_sex_permutation' and 'nn_sex_permutation' to "Male"/"Female" respectively (although this should be working with default arguments)
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