mem (version 2.5)

transformdata.back: Data transformation

Description

Function transformdata.back transforms data from week,rate1,...,rateN to year,week,rate format.

Usage

transformdata.back(i.data, i.name = "rates", i.cutoff.original = NA,
  i.range.x.final = NA, i.fun = sum)

Arguments

i.data

Data frame of input data.

i.name

Name of the column that contains the values.

i.cutoff.original

Cutoff point between seasons when they have two years

i.range.x.final

Range of the surveillance period in the output dataset

i.fun

sumarize function

Value

transformdata.back returns a data.frame with three columns, year, week and rate.

Details

Yet to be written

References

Vega Alonso, Tomas, Jose E Lozano Alonso, Raul Ortiz de Lejarazu, and Marisol Gutierrez Perez. 2004. Modelling Influenza Epidemic: Can We Detect the Beginning and Predict the Intensity and Duration? International Congress Series, Options for the Control of Influenza V. Proceedings of the International Conference on Options for the Control of Influenza V, 1263 (June): 281-83. doi:10.1016/j.ics.2004.02.121. Vega, Tomas, Jose Eugenio Lozano, Tamara Meerhoff, Rene Snacken, Joshua Mott, Raul Ortiz de Lejarazu, and Baltazar Nunes. 2013. Influenza Surveillance in Europe: Establishing Epidemic Thresholds by the Moving Epidemic Method. Influenza and Other Respiratory Viruses 7 (4): 546-58. doi:10.1111/j.1750-2659.2012.00422.x. Vega, Tomas, Jose E. Lozano, Tamara Meerhoff, Rene Snacken, Julien Beaute, Pernille Jorgensen, Raul Ortiz de Lejarazu, et al. 2015. Influenza Surveillance in Europe: Comparing Intensity Levels Calculated Using the Moving Epidemic Method. Influenza and Other Respiratory Viruses 9 (5): 234-46. doi:10.1111/irv.12330.

Examples

# Castilla y Leon Influenza Rates data
data(flucyl)
# Transform data
newdata<-transformdata.back(flucyl)$data