rsvdat: Data on RSV and ambient temperature
In SCCS: The Self-Controlled Case Series Method
rsvdat R Documentation
Data on RSV and ambient temperature
Description
The data are a weekly time series of counts of respiratory syncytial virus (RSV) isolates from England and Wales and average temperatures (in degrees Celsius) in Central England.
Usage
rsvdat
Format
A data frame containing 364 rows and 5 columns. The column names are 'year' (year of report, 1996 to 2003), 'week' (week of the year, numbered 1 to 52), 'win' (4-week window, numbered 1 to 91), 'temp' (average daily temperature for the week prior to the current week), and 'rsv' (count of RSV isolates for the current week). The data are in time series format, for SCCS analysis using generalised linear models.
References
Whitaker, H. J., Hocine, N. and Farrington C. P. (2007). On case-crossover methods for environmental time series data. Environmetrics 18 (2), 157-171.
SCCS documentation built on July 5, 2022, 5:05 p.m.
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| rsvdat | R Documentation |
Data on RSV and ambient temperature
Description
The data are a weekly time series of counts of respiratory syncytial virus (RSV) isolates from England and Wales and average temperatures (in degrees Celsius) in Central England.
Usage
rsvdat
Format
A data frame containing 364 rows and 5 columns. The column names are 'year' (year of report, 1996 to 2003), 'week' (week of the year, numbered 1 to 52), 'win' (4-week window, numbered 1 to 91), 'temp' (average daily temperature for the week prior to the current week), and 'rsv' (count of RSV isolates for the current week). The data are in time series format, for SCCS analysis using generalised linear models.
References
Whitaker, H. J., Hocine, N. and Farrington C. P. (2007). On case-crossover methods for environmental time series data. Environmetrics 18 (2), 157-171.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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