[R] How can I solve this prediction problem?

[Bert Gunter]

This looks like homework, and there is a no homework policy on this list.

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Apr 9, 2019 at 5:51 AM Coder 634 <coder634 using gmail.com> wrote:

> Hi, I'm new at R programming and I need help to solve this problem.
>
>
> The objective is to predict the change of the value of the Close variable:
> D(t) =Close(t) – Close(t-1) for a given day t, using the known data until
> t-1 to generate the prediction model.
>
> We can use univariate and multivariate models of temporal series as well as
> machine Learning/data mining.
>
> All the data are available in the cotton2.csv (future prices of cotton) .
>
> Date – day of the values
>
> Open – value at market opening
>
> High – highest value from that day
>
> Low – lowest value from that day
>
> Close – value at market closing time
>
> Volume – total number of exchanges made (sale/trade) of cotton during that
> day
>
> Prices are in indian rupees (INR) for every cotton bale.
>
> The many numerical variables can be assumed to be daily temporal series.
>
> Cotton2.csv
> <
> https://drive.google.com/file/d/1kksxDVqraLxMkJ4PcvHsZUfUx0imDne4/view?usp=sharing
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

	[[alternative HTML version deleted]]