plot_ts_pred: Plot time series with predictions

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Plot time series with predictions

Description

Plot original series plus dashed lines for in‑sample adjustment and optional out‑of‑sample predictions.

Usage

plot_ts_pred(
  x = NULL,
  y,
  yadj,
  ypred = NULL,
  label_x = "",
  label_y = "",
  color = "black",
  color_adjust = "blue",
  color_prediction = "green"
)

Arguments

x	time index (numeric vector) or NULL to use 1:length(y)
y	numeric time series
yadj	fitted/adjusted values for the training window
ypred	optional predicted values after the training window
label_x	x‑axis title
label_y	y‑axis title
color	color for the original series
color_adjust	color for the adjusted values (dashed)
color_prediction	color for the predictions (dashed)

Details

yadj length defines the training segment; ypred (if provided) is appended after yadj.

Value

returns a ggplot2::ggplot graphic

Examples

x <- base::seq(0, 10, 0.25)
yvalues <- sin(x) + rnorm(41,0,0.1)
adjust <- sin(x[1:35])
prediction <- sin(x[36:41])
grf <- plot_ts_pred(y=yvalues, yadj=adjust, ypred=prediction)
plot(grf)

daltoolbox documentation built on Nov. 5, 2025, 7:09 p.m.