visualize the etiology estimates for each discrete levels
Source:R/plot-etiology-regression.R
plot_etiology_strat.Rd
This function visualizes the etiology estimates against one discrete covariate, e.g., age groups.
Usage
plot_etiology_strat(
DIR_NPLCM,
strata_weights = "empirical",
truth = NULL,
RES_NPLCM = NULL,
show_levels = 0,
is_plot = TRUE,
VERBOSE = TRUE
)
Arguments
- DIR_NPLCM
File path to the folder containing posterior samples
- strata_weights
a vector of weights that sum to one; for each pathogen the weights specify how the j-th etiology fraction should be combined across all levels of the discrete predictors in the data; default is
"empirical"
to use empirical weights (observed fractions of subjects across strata).- truth
a list of true values, e.g.,
truth=list(allEti = <a list of etiology fractions, each of identical length - the # of strata; >)
; if available, will be shown in thicker red solid vertical lines.- RES_NPLCM
pre-read
res_nplcm
; default toNULL
.- show_levels
a vector of integers less than or equal to the total number of levels of strata; default to
0
for overall.- is_plot
default to TRUE, plotting the figures; if
FALSE
only returning summaries- VERBOSE
default to
TRUE
, print actual meanings of the levels
See also
Other visualization functions:
plot.nplcm()
,
plot_BrS_panel()
,
plot_SS_panel()
,
plot_check_common_pattern()
,
plot_check_pairwise_SLORD()
,
plot_etiology_regression()
,
plot_panels()
,
plot_pie_panel()
,
plot_subwt_regression()