extract_timeframes: Extract the timeframe from a date column in one or multiple...
In jeanmarcgp/mlStocks: Machine Learning Predictive Analysis for Stocks

Description Usage Arguments Details Value

For each dataframe in the provided list, find the oldest and newest dated row from a specified date column. Report the corresponding timeframe. In addition, the number of rows of each dataframe is counted and reported as a percentage of the total of all dataframe rows. This provides a sense of the size of each dataframe compared to the list provided.

1	extract_timeframes(dflist, cdate, showpct = TRUE, printout = TRUE)

`dflist`	A list of dataframes to be examined. The list should be named, as each name is associated with a row in the dataframe returned by the function. See details.
`cdate`	The name or number specifying the column in the dataframes containing the dates. The dates may be of class Date or char. If char, they will first be converted to class Date.
`showpct`	Logical. If true (default) then a column is included in the returned dataframe showing the size (by number of rows) of the dataframe examined relative to the size of all dataframes in the list provided. This is expressed as a percentage.
`printout`	Logical. Specifies whether to print the returned dataframe to the console or not. Default is TRUE.

The dataframe list may contain one or more xts matrices. In such case, the cdate argument is ignored, and the index of the xts matrix is used to calculate the timeframe.

A dataframe is created with the timeframe information. Each dataframe in the provided list has an associated row with it. The column information includes the following:

jeanmarcgp/mlStocks documentation built on May 19, 2019, 12:38 a.m.