compute_rolling_growth_rates: compute rolling growth rates
In mountainMath/CanCovidData: Access Canadian and International COVID-19 Data
compute_rolling_growth_rates R Documentation
compute rolling growth rates
Description
compute rolling growth rates
Usage
compute_rolling_growth_rates(data, window_width)
Arguments
data
data frame with columns 'region', 'total' and 'd' to compute rolling growth rates by region
using the total variable at time steps d
window_width
of window for rolling fit
Value
the original data frame with added columns 'slope' (growth rate), 'slope_e' (standard error of growth rate fit),
'low' and 'high' (the 95
mountainMath/CanCovidData documentation built on July 29, 2022, 1:41 p.m.
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| compute_rolling_growth_rates | R Documentation |
compute rolling growth rates
Description
compute rolling growth rates
Usage
compute_rolling_growth_rates(data, window_width)
Arguments
data |
data frame with columns 'region', 'total' and 'd' to compute rolling growth rates by region using the total variable at time steps d |
window_width |
of window for rolling fit |
Value
the original data frame with added columns 'slope' (growth rate), 'slope_e' (standard error of growth rate fit), 'low' and 'high' (the 95
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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