In dtkaplan/statPREPpackage: Calculations to support the statPREP tutorials

knitr::opts_chunk$set(echo = TRUE)

These data were scrapped a long time ago by Danny Kaplan and used as the basis for this chapter Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, editors Deborah Nolan and Duncan Temple Lang, Chapman and Hall/CRC 2015, Pages 45–103

More data is now available from the Cherry Blossom web site. We need a volunteer to scrape it.

Cherry_race_longitudinal <- read_csv("Cherry-Blossom-Longitudinal.csv")
Runner_ID <- Cherry_race_longitudinal %>% 
  group_by(name.yob) %>%
  summarise(dummy = NA) %>% # just grab the grouping variable
  mutate(ID = paste0("R", row_number())) %>%
  select( - dummy)
Cherry_race_longitudinal <- 
  Cherry_race_longitudinal %>%
  left_join(Runner_ID) %>%
  select(-name.yob)
save(Cherry_race_longitudinal, file = "../../data/Cherry_race_longitudinal.rda")

dtkaplan/statPREPpackage documentation built on May 15, 2019, 5:22 p.m.