jpscatter: Create a scatter plot using journal and paper percentile...

In BibPlots: Plot Functions for Use in Bibliometrics

Description

Provide journal and paper percentile values in a data frame, e.g. df, and the function call jpscatter(df) creates the scatter plot. The function jpscatter takes some optional arguments to modify its behaviour, see arguments and details.

Usage

jpscatter(df, off_set = 0, print_stats = TRUE, do_plot = TRUE, digits = 1, ...)

Arguments

df	data frame with journal and paper percentiles
off_set	determines the location of additional plotted information (number of points in each quadrant), values between 0 and 40 might be useful (optional parameter). The default value is 0.
print_stats	boolean variable (optional parameter) which determines if the additional statistical values are printed to the R console (T: yes print, F: no do not print). The default value is T.
do_plot	boolean variable (optional parameter) which determines if the scatter plot is actually produced (T: yes plot, F: no do not plot). The default value is T.
digits	integer value to determine the number of desired digits after the decimal point for statistical values (optional parameter). The default value is 1.
...	additional arguments to pass to the plot function

Details

jpscatter(df=data_frame, off_set=numeric_value, print_stats=boolean, do_plot=boolean, digits=integer) Only the argument df is necessary. All other aruments are optional.

Literature:

- Bornmann, L., & Haunschild, R. (2017). Plots for visualizing paper impact and journal impact of single researchers in a single graph, DOI: 10.1007/s11192-018-2658-1, preprint: https://arxiv.org/abs/1707.04050

An example data frame is provided as example_researcher in the package. It can be used to create a scatter plot using default values.

Examples

data(example_researcher)

jpscatter(example_researcher)

BibPlots documentation built on Oct. 12, 2021, 5:08 p.m.