Description Usage Arguments Details Examples
View source: R/Difference-Against-Mean-Bib-plot_base_graphics.R
Provide journal and paper percentile values in a data frame, e.g. df, and the function call DAMBibPlot(df) creates the difference against mean plot. DAMBibPlot takes some optional arguments to modify its behaviour, see arguments and details.
1 2 3 4 5 6 7 8 | DAMBibPlot(
df,
off_set = 0,
print_stats = TRUE,
do_plot = TRUE,
digits = 1,
...
)
|
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 difference against mean 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 |
DAMBibPlot(df=data_frame, off_set=numeric_value, print_stats=boolean, do_plot=boolean) Only the argument df is necessary. All other aruments are optional.
Literature:
- Bland, J. M., & Altman, D. G. (1986). Statistical Methods for Assessing Agreement between Two Methods of Clinical Measurement. Lancet, 1(8476), 307-310, https://www.ncbi.nlm.nih.gov/pubmed/2868172
Cleveland, W. S. (1985). The elements of graphing data. Monterey, CA: Wadsworth Advanced Books and Software.
- 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 difference against mean plot using default values.
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