第 44 章 tidyverse中的purrr之美1
44.1 接、化、发
向马保国老师的武术精髓致敬。
f <- list(
body_mass_g ~ bill_length_mm,
body_mass_g ~ bill_length_mm + bill_depth_mm,
body_mass_g ~ bill_length_mm + bill_depth_mm + flipper_length_mm
)
f %>%
set_names(paste("model", 1:3)) %>% # 接
map( ~ tidy(lm(.x, data = penguins)) ) %>% # 化
list_rbind(names_to = "model") # 发
也可以不用broom::tidy()
, 而使用gtsummary::tbl_regression()
library(gtsummary)
f %>%
set_names() %>% # 接
map(~ tbl_regression(lm(.x, data = penguins)) ) %>% # 化
tbl_merge(tab_spanner = paste("model", 1:3)) # 发
Characteristic |
model 1
|
model 2
|
model 3
|
||||||
---|---|---|---|---|---|---|---|---|---|
Beta | 95% CI1 | p-value | Beta | 95% CI1 | p-value | Beta | 95% CI1 | p-value | |
bill_length_mm | 87 | 74, 100 | <0.001 | 75 | 63, 87 | <0.001 | 3.3 | -7.3, 14 | 0.5 |
bill_depth_mm | -146 | -179, -112 | <0.001 | 18 | -9.4, 45 | 0.2 | |||
flipper_length_mm | 51 | 46, 56 | <0.001 | ||||||
1 CI = Confidence Interval |