Readers,
Data set:
t,c
0,100
40,78
80,59
120,38
160,25
200,21
240,16
280,12
320,10
360,9
400,7
graphdata<-read.csv('~/tmp/data.csv')
graphmodeld<-lm(log(graphdata[,2])~graphdata[,1])
graphmodelp<-exp(predict(graphmodeld))
plot(graphdata[,2]~graphdata[,1])
lines(graphdata[,1],graphmodelp)
Please what is the function and syntax to obtain gradient values for the model
curve at various requested values, e.g.:
when graphdata[,1] at values = 100, 250, 350 ?
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