Description Usage Arguments Value References See Also Examples
View source: R/plot-etiology-regression.R
This function visualizes the etiology regression against one continuous covariates, e.g., enrollment date. (NB: dealing with NoA, multiple-pathogen causes, other continuous covariates?)
1 2 | plot_etiology_regression(DIR_NPLCM, stratum_bool, plot_basis = FALSE,
truth = NULL)
|
DIR_NPLCM |
File path to the folder containing posterior samples |
stratum_bool |
a vector of TRUE/FALSE with TRUE indicating the rows of subjects to include |
plot_basis |
TRUE for plotting basis functions; Default to FALSE |
truth |
a list of truths computed from true parameters in simulations; elements: Eti, FPR, PR
which are matrices of # of rows = # of subjects, # columns: |
A figure of etiology regression curves and some marginal positive rate assessment of model fit; See example for the legends.
See example figures: https://github.com/zhenkewu/baker/blob/master/inst/figs/visualize_etiology_regression_SITE=1.pdf and its legends: https://github.com/zhenkewu/baker/blob/master/inst/figs/legends_visualize_etiology_regression.png
Other visualization functions: plot_BrS_panel
,
plot_SS_panel
,
plot_check_common_pattern
,
plot_check_pairwise_SLORD
,
plot_etiology_side_by_side
,
plot_etiology_strat
,
plot_group_etiology
,
plot_panels
, plot_pie_panel
,
plot_selected_etiology
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ## Not run:
# legend.text = c("[UPPER FIGURES]",
"observed prevalence: cases",
"observed prevalence: controls",
"fitted prevalence: cases",
"fitted prevalence: controls",
"true positive rate: mean",
"true positive rate: 95%CI",
"[BOTTOM FIGURES]",
"etiology curve: mean",
"overall etiology: mean",
"overall etiology: 95%CI","","","")
legend.col=c("white","black","dodgerblue2","black","dodgerblue2","red","red",
"white","springgreen4","orange","orange","white","white","white")
legend.lty=c(1,2,2,1,1,1,2,1,1,1,2)
legend.lwd=c(2,2,2,2,2,2,2,2,2,2,2,2,2,2)
legend("topleft",legend=legend.text,
lty=legend.lty,lwd=legend.lwd,
col=legend.col,ncol=2,
y.intersp=1.5,cex=1.6,box.col=NA)
## End(Not run)
|
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