Description Usage Arguments Value Author(s) See Also Examples
This function initiates the Monte Carlo DALY calculation process, based on the entered data, and returns the simulated results.
1 |
button.call |
Gives information on the origin of the call
(i.e., through the GUI button ( |
aw |
Logical flag, indicating if age weighting should be applied;
if |
dr |
Time discount rate (numeric value between 0 and 1);
if |
getDALY returns an object of class 'DALY',
which inherits from class 'list'.
The generic functions print and summary may be used to
obtain and print the DALY calculation results.
The generic function aggregate extracts from the 'DALY' object
results by outcome, age/sex class, or both.
An object of class 'DALY' is a list containing the following elements:
i |
For each outcome |
pop |
Population |
name |
Name of the disease |
For each outcome i, DALY[[i]] is a list
containing the following elements:
DALY |
Vector of simulated DALYs |
YLD |
Vector of simulated YLDs |
YLL |
Vector of simulated YLLs |
INC |
Vector of simulated incident cases |
MRT |
Vector of simulated deaths |
name |
Name of the health outcome |
The vectors containing simulated DALYs, YLDs, YLLs, incident cases and deaths each have three dimensions:
1 |
Iterations |
2 |
Age groups |
3 |
Sex |
The numerical output methods for 'DALY': print.DALY, summary.DALY
The graphical output method for 'DALY': hist.DALY
The aggregator method for 'DALY': aggregate.DALY
DALY sensitivity analysis : sensitivity
DALYcalculator
(for a brief description of the DALY Calculator)
DALYmanual
(for a more comprehensive overview)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | ## Not run:
##= load the NCC example ==================================
setDALYexample(1)
##= perform DALY calculation =============================
##= without age weighting and time discounting ============
getDALY(aw = FALSE, dr = 0)
##= perform DALY calculation, store results in 'x' ========
##= (with age weighting and a 3% time discount rate) ======
x <- getDALY(aw = TRUE, dr = 0.03)
##= view the structure of 'x' =============================
str(x)
##= view the DALY calculation results =====================
print(x) # absolute, total ==============
print(x, relative = TRUE) # relative (ie, per 1000 pop) ==
print(x, outcomes = TRUE) # outcome-wise =================
##= obtain minimum & maximum simulated DALY ===============
min(x[[1]]$DALY)
max(x[[1]]$DALY)
##= standardized DALY histogram ===========================
hist(x)
##= DALY sensitivity analysis =============================
sensitivity(x)
## End(Not run)
|
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