ts_plot: Time series decomposition and plot

In UBC-MDS/ggexpress: Express exploratory data analysis with ggplots

Description

Convert a dataframe into a time series object, decompose it into trend, seasonality/cyclicity and noise/remainder/error and plot the raw data and the decomposed components. If the time series can't be decomposed, the function will just return the line chart of the raw data.

Usage

ts_plot(data, col, frequency)

Arguments

data	dataframe: should be data.frame or tibble
col	str: the column to be analyzed
frequency	int: should choose from 1, 4, 12, 52

Value

ggplot Object

Examples

time <- c("1950 Q1", "1950 Q2", "1950 Q3", "1950 Q4",
          "1951 Q1", "1951 Q2", "1951 Q3", "1951 Q4")
earnings <- c(0.71, 0.63, 0.82, 0.91, 0.71, 0.63, 0.82, 0.91)
ts_data <- tibble::tibble(time, earnings)
ts_plot(data=ts_data, col="earnings", frequency=4)

UBC-MDS/ggexpress documentation built on March 29, 2020, 9:13 p.m.