Skip to content
This repository was archived by the owner on Jan 31, 2025. It is now read-only.
This repository was archived by the owner on Jan 31, 2025. It is now read-only.

More Purrr for GGPlot2 #1

Description

@jdnewmil

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 )

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions