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nevrome / covid19germany

R package - Load, visualise and analyse daily updated data on the COVID-19 outbreak in Germany
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function to estimate the real number of infected based on the number of deaths #15

Closed nevrome closed 4 years ago

nevrome commented 4 years ago

Bitte einmal kurz auf Korrektheit prüfen. Auch über Variablennamen kann man streiten. "Dunkelziffer" ist ein mutiges Wort. Vielleicht hat jemand von euch Lust etwas deskriptiven Text für diese Funktion zu schreiben.

Die Methode hat schon ein paar interessante Effekte. Da in Böblingen noch niemand gestorben ist, gibt es dort auch keine Epidemie: 

estimatepast_RKI_timeseries(rki_timeseries, Landkreis) %>% dplyr::filter(Landkreis == "LK Böblingen")
codecov-io commented 4 years ago

Codecov Report

Merging #15 into master will not change coverage by %. The diff coverage is 0.00%.

Impacted file tree graph

@@          Coverage Diff           @@
##           master     #15   +/-   ##
======================================
  Coverage    0.00%   0.00%           
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  Files           5       6    +1     
  Lines         114     128   +14     
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- Misses        114     128   +14
Impacted Files Coverage Δ
R/estimatepast_RKI_timeseries.R 0.00% <0.00%> (ø)
R/group_RKI_timeseries.R 0.00% <ø> (ø)

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