fludta: Sample dataset for examples. Derived from CDC 122 cities...
In kmcconeghy/flumodelr: An R Package for Estimating Attributable Influenza Morbidity and Mortality
Description
Usage
Format
Source
Description
The dataset is a simple year-week dataset of influenza deaths.
Usage
1
Format
A data frame with 2847 rows and 4 variables:
- year
observation year, integer
- week
observation week, integer
- fludeaths
No. of deaths attributed to Pneumonia / Influenza
- alldeaths
No. of deaths due to any cause
- perc_fludeaths
fludeaths / alldeaths * 100
- yrweek_dt
year-week-day of rate, Date
- fluyr
Influenza season, Starts from June until May of next year
- prop_flupos
No. of influenza positive isolates / total no. tested, from NREVSS data, see ?nrevss, the data was linked with the cdc122 data with a 2 week lead to account for delays in reporting
- week_in_order
A ordered count of weeks from beginning to end of dataset
- epi
A logical vector indicating epidemic seasons
Source
https://data.cdc.gov/dataset/Deaths-in-122-U-S-cities-1962-2016-122-Cities-Mort/mr8w-325u
kmcconeghy/flumodelr documentation built on June 7, 2019, 8:47 p.m.
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Description Usage Format Source
Description
The dataset is a simple year-week dataset of influenza deaths.
Usage
1 |
Format
A data frame with 2847 rows and 4 variables:
- year
observation year, integer
- week
observation week, integer
- fludeaths
No. of deaths attributed to Pneumonia / Influenza
- alldeaths
No. of deaths due to any cause
- perc_fludeaths
fludeaths / alldeaths * 100
- yrweek_dt
year-week-day of rate, Date
- fluyr
Influenza season, Starts from June until May of next year
- prop_flupos
No. of influenza positive isolates / total no. tested, from NREVSS data, see ?nrevss, the data was linked with the cdc122 data with a 2 week lead to account for delays in reporting
- week_in_order
A ordered count of weeks from beginning to end of dataset
- epi
A logical vector indicating epidemic seasons
Source
https://data.cdc.gov/dataset/Deaths-in-122-U-S-cities-1962-2016-122-Cities-Mort/mr8w-325u
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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