SPOT (version 2.4.2)

plotPrediction: plotPrediction

Description

plot predictions countries/regions by index

Usage

plotPrediction(regionDf, countryIndex = 1, ylog = FALSE)

Arguments

regionDf

A list containing a representation of the data.

countryIndex

num Index

ylog

logical plot log y axis (log = y)

Value

A plot

Details

Data are taken from the regionTrain and regionPopulation data sets that were combined using the preprocessInputData function. regionTrain and regionPopulation are stored in the babsim.data package.

Examples

# NOT RUN {
# require(SPOT)
# data <- preprocessInputData(regionTrain, regionPopulation)
# testData <- preprocessTestData(regionTest)
# # Select the first region:
# testData <- testData[testData$Region==levels(testData$Region)[1], ]
# testData$Region <- droplevels(testData$Region)
# # Very small number of function evaluations:
# n <- 6
# res <- lapply(data[1], tuneRegionModel, pops=NULL, 
#               control=list(funEvals=n, designControl=list(size=5), model = buildLM))
# parsedList <- parseTunedRegionModel(res)
# pred <- generateMCPrediction(testData = testData, models = parsedList$models, write = FALSE)
# quickPredict <- cbind(pred, testData$Date, testData$Region)
# names(quickPredict) <- c("ForecastID", "confirmed", "fatalities", "date", "region")
# p <- plotPrediction(quickPredict, 1)
# }