Nothing
context('plot condensation')
test_that('plot condensation'
,{
df = mtcars %>%
mutate( cyl = as.factor(cyl)
, gear = as.factor(gear)
, vs = as.factor(vs)
, am = as.factor(am))
p = plot_condensation(df)
expect_doppelganger('cond', p)
p = plot_condensation(df, first = 'disp')
expect_doppelganger('cond_with_first', p)
p = plot_condensation(ggplot2::diamonds, first = 'price')
expect_doppelganger('cond_price_first', p)
# compare values from alluvial_wide and plot_condensation
values = p$data %>%
mutate( test1 = map_lgl(comb, function(x) all( c('price', 'carat', 'x', 'y', 'z', 'depth', 'cut') %in% x ) )
, test2 = map_lgl(comb, function(x) all( x %in% c('price', 'carat', 'x', 'y', 'z', 'depth', 'cut') ) )) %>%
filter( test1 & test2 ) %>%
select( value, key ) %>%
spread( value = value, key = key )
n_flows_p = values$`number of flows`
condens_p = round( values$`percent condensation` * 100, 1 )
p_alluv = alluvial_wide( select(ggplot2::diamonds, price, carat, x, y, z, depth, cut) )
caption = p_alluv$labels$caption %>%
stringr::str_split('\n')
n_flows_alluv = as.double( stringr::str_extract( caption[[1]][1], '[0-9.]+' ) )
condens_alluv = as.double( stringr::str_extract( caption[[1]][2], '[0-9.]+' ) )
expect_equal( n_flows_p, n_flows_alluv )
expect_equal( condens_p, condens_alluv )
# test unquoted expression
p = plot_condensation(ggplot2::diamonds, first = price)
})
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