In seabbs/trendsinpapers: Loads, Cleans and Analyses .RES Files of Academic Publications

knitr::opts_chunk$set(echo = TRUE)

library(tidyverse)
library(plotly)
library(visdat)

Cleaning variables: - date contains no additonal information over year - convert variables from a list that only have a single row per entry - drop additional entries for abstract and convert to variable n

tb_models <- tb_models %>% 
  select(-date) %>% 
  mutate_at(.vars = vars(ris.type, type, id, title.primary, year), .funs = funs(unlist)) %>% 
    mutate(abstract = abstract %>% first)

vis_dat(tb_models)

seabbs/trendsinpapers documentation built on May 4, 2019, 4:22 p.m.