## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(animbook) ## ----------------------------------------------------------------------------- categorized_dbl <- anim_prep(data = dbl_change, id = id, values = values, time = time) ## ----------------------------------------------------------------------------- # rank scaling rank_scaling <- anim_prep(data = dbl_change, id = id, values = values, time = time) # absolute scaling absolute_scaling <- anim_prep(data = dbl_change, id = id, values = values, time = time, scaling = "absolute") # rank scaling by group rank_group_scaling <- anim_prep(data = dbl_change, id = id, values = values, time = time, group_scaling = gp) # absolute scaling by group absolute_group_scaling <- anim_prep(data = dbl_change, id = id, values = values, time = time, group_scaling = gp, scaling = "absolute") rank_scaling ## ----------------------------------------------------------------------------- dbl_categorized <- anim_prep(data = dbl_change, id = id, values = values, time = time, group = gp) # kangaroo plot kangaroo_plot(dbl_categorized) # wallaby plot wallaby_plot(dbl_categorized) # funnel web spider plot funnel_web_plot(dbl_categorized) ## ----eval = FALSE------------------------------------------------------------- # aeles_cat <- anim_prep_cat(data = aeles, id = id, values = party, time = year, group = gender) # # p <- wallaby_plot(aeles_cat) # # p2 <- anim_animate(p) # # gganimate::animate(p2) ## ----echo = FALSE------------------------------------------------------------- knitr::include_graphics("figures/example.gif")