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This repository was archived by the owner on Jan 31, 2025. It is now read-only.
More Purrr for GGPlot2 #1
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Thanks to http://r4ds.had.co.nz/ I can riff on your idea and point out that the "do" function doesn't play well with other columns. A little more purrr and some tidyr and you can work with many list columns.
library(ggpmisc) # for annotation
library(tidyr) # for nest
plots <- small_pwt %>%
mutate( country = as.character( country ) ) %>%
group_by(country) %>%
nest %>%
mutate( avhlm = map( data
, function( DF ) {
lm( avh ~ year, data = DF )
}
)
) %>%
mutate( plot = pmap( .
, function( country, data, avhlm ) {
ggplot( data, aes( y = avh, x = year ) ) +
theme_tufte() +
geom_line() +
geom_smooth( method = "lm" ) +
stat_poly_eq( formula = y ~ x
, aes( label = paste( ..eq.label..
, ..rr.label..
, sep = "*\",\"~~~"
)
)
, label.y.npc = "bottom"
, parse = TRUE
) +
ggtitle( country ) +
ylab( "Year") +
xlab( "Average annual hours worked by persons engaged")
}
)
)
# RStudio keeps a history you can surf through
walk( plots$plot, print )
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