mem (version 2.5)

full.series.graph: Creates the historical series graph of the datasets

Description

Function full.series.graph creates a graph with the whole data.

Usage

full.series.graph(i.data, i.range.x = NA, i.range.y = NA, i.output = ".",
  i.graph.title = "", i.graph.subtitle = "", i.graph.file = T,
  i.graph.file.name = "", i.plot.timing = F, i.plot.intensity = F,
  i.alternative.thresholds = NA, i.color.pattern = c("#C0C0C0", "#606060",
  "#000000", "#808080", "#000000", "#001933", "#00C000", "#800080", "#FFB401",
  "#8c6bb1", "#88419d", "#810f7c", "#4d004b"), ...)

Arguments

i.data

Historical data series.

i.range.x

Range x (surveillance weeks) of graph.

i.range.y

Range y of graph.

i.output

Directory where graph is saved.

i.graph.title

Title of the graph.

i.graph.subtitle

Subtitle of the graph.

i.graph.file

Graph to a file.

i.graph.file.name

Name of the graph.

i.plot.timing

Plot the timing of epidemics.

i.plot.intensity

Plot the intensity levels.

i.alternative.thresholds

Use alternative thresholds, instead of the ones modelled by the input data (epidemic + 3 intensity thresholds)

i.color.pattern

colors to use in the graph.

...

other parameters passed to memmodel.

Value

full.series.graph writes a tiff graph of the full series of the dataset.

Color codes: 1: Axis. 2: Tickmarks. 3: Axis labels. 4: Series line. 5: Series dots (default). 6: Title and subtitle. 7: Series dots (pre-epidemic). 8: Series dots (epidemic). 9: Series dots (post-epidemic). 10: Epidemic threshold. 11: Medium threshold. 12: High threshold. 13: Very high threshold.

Details

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

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
full.series.graph(flucyl)