df_to_ts: Convert a data.frame into a time series (ts)

In trendseries: Extract Trends from Time Series

Convert a data.frame into a time series (ts)

Description

Converts a series, stored in a data.frame or tibble, into a ts object.

A ts positions observations by period rather than by date, so the input must cover a complete run of periods. Rows are sorted before conversion, and a missing or duplicated period is rejected rather than silently shifting every later observation onto the wrong date. Missing values are kept in place, which leaves the series correctly dated.

Usage

df_to_ts(x, date_col = "date", value_col = "value", frequency = 12)

Arguments

x	A data.frame, tibble or data.table.
date_col	Name of the date column. Defaults to 'date'. Must be of class Date.
value_col	Name of the value column. Defaults to 'value'. Must be numeric.
frequency	The frequency of the series. Can be a shortened string (e.g. "M" for monthly) or a number (e.g. 12).

Value

A ts object

Examples

ibc <- df_to_ts(ibcbr, value_col = "index", frequency = "M")
class(ibc)
plot(ibc)

trendseries documentation built on Oct. 1, 2026, 5:10 p.m.