siie (version 0.4.0)

p_sie: Get data for p-SIE curve

Description

Calculate data for p-SIE curve.

Usage

p_sie(df, group, index, p = 1:100, to_compare)

Value

A data.table with 3 columns, with the group, p and the according SIE.

Arguments

df

A data.frame containing at least two columns (namely the group and the index of each individual).

group

The group avariable. In the context of our paper, this could be the name or ISSN of a journal.

index

The indicator of individuals. In the context of our paper, this could be citation index of papers.

p

A group of p (Cutoff of superior). Defaults to integers from 1 to 100.

to_compare

Which groups to compare with.

References

Huang, TY., Yang, L. Superior identification index: Quantifying the capability of academic journals to recognize good research. Scientometrics 127, 4023–4043 (2022). https://doi.org/10.1007/s11192-022-04372-z

Examples

library(ggplot2)
library(tidyfst)

set.seed(19960822)
nr_of_rows = 1e4
data.frame(
  Id = 1:1e4,
  Journal = sample(LETTERS,nr_of_rows,replace = TRUE),
  CiteCount = sample(1:100,nr_of_rows,replace = TRUE)
) -> journal_table

p_sie(journal_table,group = "Journal",
      index = "CiteCount",to_compare = c("A","B","C")) -> p_sie_df

p_sie_df

p_sie_df %>%
  ggplot(aes(p/100,sie,color = Journal)) +
  geom_point() +
  geom_line() +
  geom_abline(slope = 1,linetype = "dashed") +
  scale_x_continuous(labels = tidyfst::percent) +
  scale_y_continuous(labels = tidyfst::percent) +
  labs(x = "p",y = "SIE") +
  theme_bw()