tidyverse_pipeline.r
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df %>%↵
mutate(across(where(is.numeric), ~scale(.x)[,1])) %>%↵
group_by(category) %>%↵
summarise(across(starts_with("val"), list(mean = mean, sd = sd))) %>%↵
pivot_longer(-category, names_to = c(".value", "stat"), names_sep = "_")
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