mem (version 2.5)

transformseries: Transformation of series of data

Description

Function transformseries transforms whole datasets.

Usage

transformseries(i.data, i.transformation = 1)

Arguments

i.data

Historical data series.

i.transformation

Transformation to apply to the dataset.

Value

transformseries The transformed dataset.

Details

Input data must be a data.frame with each column a surveillance season and each row a week.

Transformation options:

	[1]	No transformation
[2]	Odd		[3]
Fill missing data		[4]	Loess
	[5]	Two waves (observed)
[6]	Two waves (expected)		[1]

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)
# Data of the last season
transformseries(flucyl,2)