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In this exercise we assume that we obtained the measurements of the height and the distance of the movement of a projectile by means of an experiment.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
We define the vectors “Height” and “Distance” that have our physical measurements.
We fit a second-order model “lmr”.
We defined a scale of heights “nh” to evaluate the motion equation.
With the coefficients of the adjusted model we define the motion equation “fit” and finally we plot.
Height = c(100, 200, 300, 450, 600, 800, 1000)
Distance = c(253, 337, 395, 451, 495, 535, 576)
lmr = lm(Distance ~ Height + I(Height^2))
lmr
nh = seq(100, 1000, 10)
fit = lmr$coefficients[1]+ lmr$coefficients[2]*nh +
lmr$coefficients[3]*nh^2
fit
plot(Height, Distance, col = “red”, main=”Parabolic Shot Experiment”)
lines(nh, fit, lty=1, col = “blue”)
Get the example in:
https://github.com/pakinja
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