std_exposure {eesim} | R Documentation |
Simulate exposure data using default methods
Description
Simulates binary or continuous exposure data with or without seasonal trends using default functions.
Usage
std_exposure(n, central, sd = NULL, trend = "no trend",
exposure_type = "binary", slope, amp, start.date = "2000-01-01", ...)
Arguments
n |
A non-negative integer specifying the number of days to simulate. |
central |
A numeric value specifying the mean probability of exposure (for binary data) or the mean exposure value (for continuous data). |
sd |
A numeric value giving the standard deviation of the exposure values from the exposure trend line. |
trend |
A character string that specifies the desired trend function. Options are:
See the package vignette for examples of the shapes of these trends. |
exposure_type |
A character string specifying the type of exposure. Choices are "binary" or "continuous". |
slope |
A numeric value specifying the slope of the trend, to be used
with |
amp |
A numeric value specifying the amplitude of the seasonal trend. Must be between -1 and 1. |
start.date |
A date of the format "yyyy-mm-dd" from which to begin simulating daily exposures |
... |
Optional arguments to a custom trend function |
Value
A data frame with two columns: date (date
) and simulated
exposure values (x
).
Examples
std_exposure(n = 5, central = .1, trend = "cos1", amp = .02)
std_exposure(n = 5, central = 50, sd = 5, trend = "cos3", amp = .6,
exposure_type = "continuous", start.date = "2001-04-01")
std_exposure(n=50, central=.1, amp=.05,cust_expdraw=rnbinom,
cust_expdraw_args=list(size=10))