README.md

In perlatex/tidyESI: A package to tidy ESI data

tidyESI

ESI (Essential Science Indicators) is widely used in the evaluation of scientific research competitiveness. The goal of tidyESI is to make discipline statistics more easy and more tidyverse.

Installation

You can install the development version of tidyESI with:

devtools::install_github("perlatex/tidyESI")

How to use

There are manuals and documents here, but only Chinese at present.

Example

This is a basic example which shows you how to solve a common problem:

library(tidyESI)
esi_discipline

add_esi_threshold

library(tidyverse)

dt <- tibble(x = c("Agricultural Sciences", "Chemistry"))
dt
dt %>% add_esi_threshold(x)
dt %>% add_esi_threshold(x, date = "all")
dt %>% add_esi_threshold(x, date = "ALL")
dt %>% add_esi_threshold(x, date = c("20200326"))
dt %>% add_esi_threshold(x, date = c("20200326", "20200514"))

esi_discipline %>% add_esi_threshold(discipline, date = "last")
esi_discipline %>% add_esi_threshold(discipline, date = "all")

add_high_cited

sicnu <- read_highcited(here::here("data", "highly20200514.xlsx"))
sicnu

df <- tibble(
  u = "Sichuan Normal University",
  d = c("Chemistry")
)

df %>%
  add_high_cited(u, d, source = sicnu, scope = "all year")

perlatex/tidyESI documentation built on Nov. 25, 2022, 11:14 p.m.