Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup, warning=FALSE-----------------------------------------------------
library(dplyr, warn.conflicts = FALSE)
library(tidyr)
library(gt)
library(table.glue)
## -----------------------------------------------------------------------------
starwars_smry <- na.omit(starwars) %>%
filter(eye_color %in% c('blue', 'brown', 'hazel')) %>%
group_by(sex, eye_color) %>%
summarize(
across(
c(height, mass),
.fns = list(
lwr = ~quantile(.x, probs = 0.25),
est = ~quantile(.x, probs = 0.50),
upr = ~quantile(.x, probs = 0.75)
)
)
)
## -----------------------------------------------------------------------------
rspec <- round_spec() %>%
round_half_even() %>%
round_using_magnitude(breaks = c(1, 10, 100, Inf),
digits = c(2, 1, 1, 0))
names(rspec) <- paste('table.glue', names(rspec), sep = '.')
options(rspec)
starwars_tbl <- starwars_smry %>%
transmute(
sex,
eye_color,
tbv_height = table_glue("{height_est} ({height_lwr} - {height_upr})"),
tbv_mass = table_glue("{mass_est} ({mass_lwr} - {mass_upr})")
)
## -----------------------------------------------------------------------------
starwars_tbl %>%
mutate(
sex = recode(sex,
'female' = 'Female characters',
'male' = 'Male characters'),
eye_color = recode(eye_color,
blue = 'Blue',
brown = 'Brown',
hazel = 'Hazel')
) %>%
gt(groupname_col = 'sex', rowname_col = 'eye_color') %>%
cols_label(tbv_height = 'Height, cm', tbv_mass = 'Mass, kg') %>%
cols_align('center') %>%
tab_stubhead(label = 'Eye color') %>%
tab_spanner(label = 'Median (25th, 75th percentile)',
columns = starts_with('tbv')) %>%
tab_source_note(md('For more on these data, see `?dplyr::starwars`'))
## -----------------------------------------------------------------------------
starwars_inline_female_brown_height <- starwars_tbl %>%
filter(sex == 'female', eye_color == 'brown') %>%
pull(tbv_height)
starwars_inline_female_blue_height <- starwars_tbl %>%
filter(sex == 'female', eye_color == 'blue') %>%
pull(tbv_height)
starwars_inline_female_hazel_height <- starwars_tbl %>%
filter(sex == 'female', eye_color == 'hazel') %>%
pull(tbv_height)
## -----------------------------------------------------------------------------
starwars_inline <- starwars_tbl %>%
as_inline(tbl_variables = c("sex", "eye_color"),
tbl_values = c("tbv_height", "tbv_mass"))
print(starwars_inline)
## -----------------------------------------------------------------------------
other_inline <- starwars_inline
## -----------------------------------------------------------------------------
inline = list(starwars = starwars_inline,
other = other_inline)
# now you can access all your table data in one place. Happy writing!
inline$starwars$female$blue$tbv_height
inline$other$male$blue$tbv_height
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