Description Usage Arguments Value References
View source: R/bangdiwala_chart.R
A function for creating a Bangdiwala Chart. Constructed using "The agreement chart" by Shrikant I Bangdiwala. To learn more about Bangdiwala Chart, see http://www.stat.ncsu.edu/information/library/mimeo.archive/ISMS_1988_1859.pdf, and book: http://www.utdallas.edu/~pkc022000/agreement_book/ chapter 12: Categorical Data.
1 2 3 4 5 6 | bangdiwala_chart(x, main = "", xlab = names(dimnames(x))[2],
ylab = names(dimnames(x))[1], cat.label = colnames(x), las = TRUE,
add.legend = TRUE, location.legend = "bottomright",
add.B.hat = TRUE, location.B.hat = "topleft", add.x.margin = TRUE,
add.y.margin = TRUE, ordinal.data = TRUE, col.line = "grey",
lwd.line = 2, lty.line = 1)
|
x |
data as a table object in R.
note: columns of x will turn into x-axis,
rows of x will turn into y-axis,
to reverse, use |
main |
title of plot. |
xlab |
title of x-axis (default: extracted from x). |
ylab |
title of y-axis (default: extracted from x). |
cat.label |
category labels (default: extracted from x). |
las |
y-axis category labels rotated. |
add.legend |
'TRUE/FALSE', add a legend to the plot. |
location.legend |
either 'bottomright' or 'topleft' (only relevant if 'add.legend=TRUE'). |
add.B.hat |
'TRUE/FALSE', add Bangdiwala agreement measure to plot, (otherwise it is only given as the function's output), (agreement measure without weights). |
location.B.hat |
either 'bottomright' or 'topleft' (only relevant if 'add.B.hat=TRUE'). |
add.x.margin |
'TRUE/FALSE', add marginal values for columns (x) to plot. |
add.y.margin |
'TRUE/FALSE', add marginal values for columns (y) to plot. |
ordinal.data |
'TRUE/FALSE', if 'TRUE', partial agreement squares are added. |
col.line |
color of line (default: 'firebrick'). |
lwd.line |
width of line (default: '2'). |
lty.line |
type of line ('solid', 'dotted', etc.; default: 'solid'). |
A chart, and Bangdiwala agreement measure
Bangdiwala, S. I. (1988). The Agreement Chart. Department of Biostatistics, University of North Carolina at Chapel Hill, Institute of Statistics Mimeo Series No. 1859, http://www.stat.ncsu.edu/information/library/mimeo.archive/ISMS_1988_1859.pdf
David Meyer, Achim Zeileis, and Kurt Hornik (2017). vcd: Visualizing Categorical Data. R package version 1.4-4.
Choudhary, P. K. and Nagaraja, H. N. (2017). Measuring Agreement: Models, Methods, and Applications, Wiley.
Westlund, K. B. and Kurland, L. T. (1953). Studies on multiple sclerosis in Winnipeg, Manitoba, and New Orleans, Louisiana I. Prevalence; comparison between the patient groups in Winnipeg and New Orleans. American Journal of Hygiene 57, 380–396.
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