Logistic curve fitting in epidemiology: Difference between revisions

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(R)
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nls.out =<- nls.lm(par=parStart, fn=residFun, observed=observed, xx = x)
 
cat("The r for the model is: ", coef(nls.out), "\n")
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Therefore, R0 is approximately: 3.848279
</pre>
 
 
=={{header|Wren}}==
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