Analyse an R script and determine which package the functions are likely to be from

analyse_packages.R

library(dplyr)
library(ggplot2)

find_functions <- function(file) {
  getParseData(parse(file = file)) %>% 
    filter(token == "SYMBOL_FUNCTION_CALL") %>% 
    distinct(text) %>%
    use_series(text)
}

identify_packages <- function(functionNames) {
  db <- hsearch_db()
  db$Aliases %>% 
    filter(Alias %in% functionNames) %>% 
    mutate(pkgString = paste0(Package, "::", Alias)) %>% 
    group_by(Alias) %>% 
    mutate(ambiguity = n()) %>% 
    arrange(Alias, Package) %>% 
    select(-ID) %>% 
    ungroup()
}

find_functions("~/somefile.R") %>% 
  identify_packages() %>% 
  head()
#> # A tibble: 6 x 4
#>          Alias Package          pkgString ambiguity
#>          <chr>   <chr>              <chr>     <int>
#> 1          aes ggplot2       ggplot2::aes         1
#> 2          AIC   stats         stats::AIC         2
#> 3          AIC    VGAM          VGAM::AIC         2
#> 4      arrange   dplyr     dplyr::arrange         2
#> 5      arrange    plyr      plyr::arrange         2
#> 6 as.character    base base::as.character         1

find_functions("~/somefile.R") %>% 
  identify_packages() %>% 
  filter(ambiguity == 1) %>% 
  group_by(Package) %>% 
  summarise(nCalls = n()) %>% 
  ungroup() %>%
  ggplot() + 
  geom_col(aes(x="", fill=Package, y=nCalls), width=1) +
  coord_polar(theta = "y") +
  scale_x_discrete("") +
  theme_void()

Function calls in ~/somefile.R which are unambiguously available within available (installed) packages (those found via hsearch_db()).

Determining which namespace overwrites would require a much more careful investigation of the environment/search path/namespaces at run-time.

Suggestion for improvement: Determine available namespaces prior to running, and whittle down the list of packages to just those. Should reduce the ambiguity significantly.

Reminder: http://stackoverflow.com/questions/6429180/how-do-you-you-determine-the-namespace-of-a-function