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lines changed Original file line number Diff line number Diff line change @@ -47,7 +47,7 @@ plot(epi_contacts)
4747secondary_cases <- epicontacts :: # <À COMPLETER>
4848
4949# Tracer l'histogramme des cas secondaires
50- individual_reproduction_num <- secondary_cases %> %
50+ secondary_cases %> %
5151 enframe() %> %
5252 ggplot(aes(value )) +
5353 geom_histogram(binwidth = 1 ) +
@@ -56,9 +56,6 @@ individual_reproduction_num <- secondary_cases %>%
5656 y = " Fréquence"
5757 )
5858
59- # voir un aperçu du graphe
60- individual_reproduction_num
61-
6259
6360# Ajuster une distribution binomiale négative -----------------------------------
6461# étape : Utilisez le vecteur avec le nombre de cas secondaires engendrés par
Original file line number Diff line number Diff line change @@ -46,7 +46,7 @@ plot(epi_contacts)
4646secondary_cases <- epicontacts :: # <COMPLETE>
4747
4848# Plot the histogram of secondary cases
49- individual_reproduction_num <- secondary_cases %> %
49+ secondary_cases %> %
5050 enframe() %> %
5151 ggplot(aes(value )) +
5252 geom_histogram(binwidth = 1 ) +
@@ -55,9 +55,6 @@ individual_reproduction_num <- secondary_cases %>%
5555 y = " Frequency"
5656 )
5757
58- # Print output
59- individual_reproduction_num
60-
6158
6259# Fit a negative binomial distribution -----------------------------------
6360# step: Use the vector with the number of secondary cases per infector case
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