plot.rf.data.frame: Create a fan_plot of a rf.data.frame object

In graphPAF: Estimating and Displaying Population Attributable Fractions

Create a fan_plot of a rf.data.frame object

Description

Create a fan plot displaying approximate PAF, risk factor prevalence and risk ratios

Usage

## S3 method for class 'rf.data.frame'
plot(
  x,
  type = "f",
  rf_prevmarks = c(0.02, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.7, 0.9),
  ormarks = c(1.05, 1.1, 1.2, 1.5, 2, 3),
  fan.label.size = 8,
  fan.point.size = 8,
  fan.legend.text.size = 30,
  fan.legend.title.size = 30,
  fan.axis.text.size = 30,
  fan.axis.title.size = 30,
  nomogram.label.size = 6,
  nomogram.axis.text.size = 6,
  nomogram.legend.text.size = 6,
  nomogram.legend.title.size = 6,
  ...
)

Arguments

x	A rf.data.frame object
type	A character representing the type of plot. "f" for a fan_plot, "n" for a PAF nomogram and "rn" for a reverse PAF nomogram. See Ferguson et al.. "Graphical comparisons of relative disease burden across multiple risk factors." BMC medical research methodology 19, no. 1 (2019): 1-9 for more details
rf_prevmarks	Axis marks for risk factor prevalence (only used for type="n" and type = "rn") Default c(0.02, 0.05,0.1,0.2,0.3,0.4,0.5,0.7,0.9)
ormarks	Axis marks for odds ratios (only used for type="n" and type = "rn") Default c(1.05,1.1,1.4,1.7,2.0,3.0)
fan.label.size	label size for fan plot (default 8)
fan.point.size	point size for fan plot (default 8)
fan.legend.text.size	legend text size for fan plot (default 30)
fan.legend.title.size	legend title size for fan plot (default 30)
fan.axis.text.size	axis text size for fan plot (default 30)
fan.axis.title.size	axis title size for fan plot (default 30)
nomogram.label.size	label size for a nomogram (default 6)
nomogram.axis.text.size	axis title size for nomogram (default 6)
nomogram.legend.text.size	legend text size for nomogram (default 6)
nomogram.legend.title.size	legend title size for nomogram (default 6)
...	Other arguments that can be passed to the plotting routine

Value

fanplot or PAF nomogram (each is a ggplot2 object)

References

Ferguson, J., O’Leary, N., Maturo, F., Yusuf, S. and O’Donnell, M., 2019. Graphical comparisons of relative disease burden across multiple risk factors. BMC medical research methodology, 19(1), pp.1-9.

Examples

library(ggplot2)
rfs <- rf_summary(rf_names=c('Hypertension','Inactivity','ApoB/ApoA',
'Diet','WHR','Smoking','Cardiac causes','Alcohol','Global Stress','Diabetes'),
rf_prev=c(.474,.837,.669,.67,.67,.224,.049,.277,.144,.129),
risk=c(1.093,0.501,0.428,0.378,0.294,0.513,1.156,0.186,0.301,0.148),log=TRUE)
# fanplot
plot(rfs,fan.point.size=4,fan.label.size=4,
fan.legend.text.size=10,fan.legend.title.size=10,
fan.axis.text.size=10,fan.axis.title.size=10)
# nomogram
plot(rfs,nomogram.label.size=4, nomogram.axis.text.size=4,
 nomogram.legend.text.size=8,nomogram.legend.title.size=8,
 type="rn")
# reverse nomogram
plot(rfs,nomogram.label.size=4, nomogram.axis.text.size=4,
nomogram.legend.text.size=8,nomogram.legend.title.size=8,
type="rn")

graphPAF documentation built on May 29, 2024, 10:21 a.m.