to_m

Transforms Time Series Column of the dataframe to the matrix with specified number of columns.
Number of rows will be automatically found. Eventually not complete last row will be discarded.
<a href="https://lifecycle.r-lib.org/articles/stages.html#superseded"><img src="figures/lifecycle-superseded.svg?package=lazytrade&version=0.5.4" alt="[Superseded]"></a>

Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading.
Main goal is to process information within "Decision Support System" to come up with analysis or predictions.
There are several utilities such as dynamic and adaptive risk management using reinforcement learning
and even functions to generate predictions of price changes using pattern recognition deep regression learning.
Summary of Methods used: Awesome H2O tutorials: <https://github.com/h2oai/awesome-h2o>,
Market Type research of Van Tharp Institute: <https://vantharp.com/>,
Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.

Vladimir Zhbanko

lazytrade

Learn Computer and Data Science using Algorithmic Trading

to_m function

<dl><dt>x</dt>
<dd><ul>
<li>dataframe with one column</li>
</ul></dd>
<dt>n_cols</dt>
<dd><ul>
<li>number of columns in the matrix</li>
</ul></dd></dl>

Arguments

Transforms Time Series Column of the dataframe to the matrix with specified number of columns.
Number of rows will be automatically found. Eventually not complete last row will be discarded.
<a href='https://lifecycle.r-lib.org/articles/stages.html#superseded'><img src='figures/lifecycle-superseded.svg' alt='[Superseded]' /></a>

Convert time series data to matrix with defined number of columns — to_m

<dl>

<dt>x</dt>
<dd><ul>
<li>dataframe with one column</li>
</ul></dd>


<dt>n_cols</dt>
<dd><ul>
<li>number of columns in the matrix</li>
</ul></dd>

</dl>

to_m: Convert time series data to matrix with defined number of columns

Description

Usage

Value

Arguments

Examples