Function reference • pataqu

Shakers

to generate new x values

shake_uniform() shake_uniform_within() shake_gaussian() shake_gaussian_within(): Generate new x values

quake(): Generate new datasets with new values

Boil down permutations

to summarize using models or scalar descriptors values of interest on x slices

fit_lm() fit_gam() fit_loess(): Fit each permuations using various regression models

bin(): Bin

cutter_interval() cutter_number() cutter_width() cutter_to_seq(): Discretise numeric x values into categorical

Visualizes trends

using ggplot2 primers

spaghetti() spaghetti0(): Spaghetti plot after permutations

Test for differences

within x slices

test_globally() test_pairwise(): Test differences within temporal slices

wilcox_p() kruskal_p() aov_p(): Comparisons testers

Datasets

to play with pataqu functions

animals: Dataset of archaeological measurements with terminus post and ante quem dating

animals_q: Animals with 20 permutations on 7 temporal slices

df_u: Toy dataset with terminus ante and post quem dating

df_g: Toy dataset with centered/interval dating