[R] polynomial regression

Jeff Newmiller jdnewm|| @end|ng |rom dcn@d@v|@@c@@u@
Fri Feb 21 18:16:26 CET 2020

This looks like homework. There is a clearly-stated no-homework policy in the Posting Guide.

Some hints though (typing a question mark before a function name in the console shows the help file for that function):

- Generate some x values (?seq)
- Calculate y values using x
- plot x against y (?plot)
- fitting can be done many ways, but the most common is using the ?lm function to fit and the ?predict.lm function to obtain points on the fitted equation.

On February 21, 2020 7:18:23 AM PST, Subhashini Rao Beerisetty <subhashbeerisetty using gmail.com> wrote:
>[ Please keep me in CC as I'm not subscribed to the list]
>Hi all,
>I’m new to R programming.
>Can someone help me , how to plot the “y” for the following equations
>in “R”?
>𝑦= 𝑒−5(𝑥−0.3)2+0.5 𝑒−100(𝑥−0.5)2+0.5 𝑒−100(𝑥−0.75)2
>Also, I want to extract 50 random points from the function and add
>normally distributed noise to the data points to get “noisy data”,
>𝑦̂.  How to achieve this?
>Is there a function to fit polynomial of degree 5 to the noisy data?
>R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>PLEASE do read the posting guide
>and provide commented, minimal, self-contained, reproducible code.

Sent from my phone. Please excuse my brevity.

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