create.disProg {surveillance} | R Documentation |
Creating an object of class disProg
Description
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.
Usage
create.disProg(week, observed, state, start=c(2001,1), freq=52,
neighbourhood=NULL, populationFrac=NULL)
Arguments
week |
number of week |
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 |
Value
disProg |
object of class disProg
|
Author(s)
M. Paul
Examples
# create an univariate disProg object for the salmonella.agona data
data(salmonella.agona)
week <- 1:length(salmonella.agona$observed)
salmonellaDisProg <- create.disProg(week=week, observed=salmonella.agona$observed,
state=salmonella.agona$state)
# plot salmonella cases
title <- "Salmonella Agona cases in the UK"
plot(salmonellaDisProg, title = title, xaxis.years=TRUE, legend.opts=NULL,
startyear = 1990, firstweek = 1)
[Package
surveillance version 1.0-3
Index]