6.6 Glue Pipelines

20180729 We can use glue::glue_data() within pipes and operate over the rows of the data that is piped into the operator.

weatherAUS %>%
  sample_n(6) %>%
  glue_data("Observation",
            " {rownames(.) %>% as.integer() %>% comma() %>% sprintf('%7s', .)}",
            " location {Location %>% sprintf('%-14s', .)}",
            " max temp {MaxTemp %>% sprintf('%5.1f', .)}")

## Observation       1 location Nuriootpa      max temp  19.4
## Observation       2 location Portland       max temp  13.7
## Observation       3 location Ballarat       max temp  14.8
## Observation       4 location Sale           max temp  28.5
## Observation       5 location Katherine      max temp  39.5
## Observation       6 location Sydney         max temp  17.2

It can also be useful with the tidy verse work flow.

weatherAUS %>%
  sample_n(6) %>%
  mutate(TempRange = glue("{MinTemp}-{MaxTemp}")) %>%
  glue_data("Observed temperature range at {Location} of {TempRange}")

## Observed temperature range at CoffsHarbour of 8.3-12.9
## Observed temperature range at Tuggeranong of 0.6-13.1
## Observed temperature range at Hobart of 19-34.7
## Observed temperature range at Williamtown of 17.7-28.9
## Observed temperature range at Hobart of 10-23.1
## Observed temperature range at Mildura of 7.4-22.7

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