bhai.barplot: Barplot of cases, deaths and DALYs.

In BHAI: Estimate the Burden of Healthcare-Associated Infections

Description

Barplot of cases, deaths and DALYs.

Usage

bhai.barplot(..., what, infections=NULL, cols1=NULL, cols2=NULL, ylab=NULL, ylim=NULL, 
legend_labs=NULL, main="", names.inf=TRUE, cex.names=1, border=par("fg"), lwd.errors=2)

Arguments

...	Further plotting arguments
what	One of c("Cases", "Deaths", "DALY")
infections	If sepcified only a subset of infections in bhai_summary is plotted.
cols1	Color used to fill the bars.
cols2	Specifies colors of YLDs when plotting DALYs.
ylab	Y-axis labels.
ylim	Limits of y-axis.
legend_labs	Labels of legend.
main	Title of plot
names.inf	Specifying whether names of infections should be plotted.
cex.names	Font size of labels.
border	The color to be used for the border of the bars, default: par("fg").
lwd.errors	Line width of error bars.

See Also

PPS

Examples

data(german_pps_2011_repr)
german_pps_repr = PPS(num_hai_patients = num_hai_patients,
    num_hai_patients_by_stratum = num_hai_patients_by_stratum,
    num_hai_patients_by_stratum_prior = num_hai_patients_by_stratum_prior,
    num_survey_patients = num_survey_patients,
    length_of_stay = length_of_stay,
    loi_pps = loi_pps,
    mccabe_scores_distr = mccabe_scores_distr,
    mccabe_life_exp = mccabe_life_exp,
    hospital_discharges = hospital_discharges,
    population = population,
    country="Germany (representative sample)")
german_pps_repr

set.seed(3)
# The following example is run only for illustratory reasons
# Note that you should never run the function with only 10 Monte-Carlo simulations in practice!
result_ger = bhai(german_pps_repr, nsim=10)

bhai.barplot(result_ger, what="Cases")

BHAI documentation built on Oct. 6, 2019, 5:04 p.m.