graphPAF (version 2.0.0)

plot.rf.data.frame: 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 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,
  ...
)

Value

fanplot or PAF nomogram (each is a ggplot2 object)

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

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")