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name: Documentation | |
on: | |
push: | |
branches: | |
- main | |
- master | |
tags: '*' | |
pull_request: |
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# packages | |
# install.packages(c("data.table", "remotes", "EpiNow2")) | |
library(data.table) | |
library(EpiNow2) | |
library(covidregionaldata) | |
# target country (must be present in ECDC data) | |
country <- "france" | |
# set number of cores to use fitting the model |
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A=140,E=11,E&F=28,C=57,C&F=179,C&F&A=259,C&F&A&E=69,C&F&E=54,S&F=10,S&F&C=22,S&F&C&A=26,S&F&C&A&D=18,S&F&C&A&E=17,S&F&C&A&E&D=23,S&F&C&E=11,S&F&C&E&D=8,S&F&C&D=7,C&S=1,S=5,F&D=43,F&D&A=64,F&D&A&C=41,F&D&A&C&E=50,F&D&A&E=17,F&D&C&E=17,F&D&E=12,F&C&D=31,C&D=7,D=12,A&F=281,E&F&A=46,F=198 |
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import copy | |
import networkx | |
import matplotlib.pyplot as plt | |
# Generate a graph. | |
# Here I chose an ER graph. | |
g = nx.erdos_renyi_graph(20, 0.3) | |
# Get positions. | |
# Here I use the spectral layout and add a little bit of noise. |
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