Description Usage Arguments Value Author(s) Examples
Creates an object of class disProg
from a vector with the weeknumber
(week) and matrices with the observed number of counts (observed) and the
respective state chains (state), where each column represents an individual
time series. The matrices neighbourhood and populationFrac provide
information about neighbouring units and population proportions.
1 2 | create.disProg(week, observed, state, start=c(2001,1), freq=52,
neighbourhood=NULL, populationFrac=NULL, epochAsDate=FALSE)
|
week |
index in the matrix of observations, typically weeks |
observed |
matrix with parallel time series of counts where rows are time points and columns are the individual time series for unit/area i, i=1,…,m |
state |
matrix with corresponding states |
start |
vector of length two denoting the year and the sample number (week, month, etc.) of the first observation |
freq |
sampling frequency per year, i.e. 52 for weekly data, 12 for monthly data, 13 if 52 weeks are aggregated into 4 week blocks. |
neighbourhood |
neighbourhood matrix N of dimension m \times m with elements n_{ij}=1 if units i and j are adjacent and 0 otherwise |
populationFrac |
matrix with corresponding population proportions |
epochAsDate |
interpret the integers in |
disProg |
object of class |
M. Paul
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # create an univariate disProg object
# read in salmonella.agona data
salmonella <- read.table(system.file("extdata/salmonella.agona.txt",
package = "surveillance"), header = TRUE)
# look at data.frame
str(salmonella)
salmonellaDisProg <- create.disProg(week = 1:nrow(salmonella),
observed = salmonella$observed,
state = salmonella$state, start = c(1990, 1))
# look at disProg object
salmonellaDisProg
|
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