Easy visualization, wrangling, and feature engineering of time series data for
forecasting and machine learning prediction. Consolidates and extends time series functionality
from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.

A Tool Kit for Working with Time Series in R

package-ubuntu-20.04-r-4.0.5#cran#timetk-2.6.1

<p>Check if an object is a date class
</p>

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
<p>A vector to check</p>
</td>
</tr></table>

library(dplyr)

tk_make_timeseries("2011") %>% is_date_class()

letters %>% is_date_class()

package-ubuntu-20.04-r-4.0.5#cran#timetk-2.6.1#docs#is_date_class

is_date_class

Description

Usage

Arguments

Value

Examples

timetk

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