Plot a multi-panel plot of a smooth predictor across multiple QGAMs in a MQGAM

facet_smooth_plot creates a multi-panel plot of smooth term plots with confidence intervals using ggplot2.

facet_smooth_plot(
  qgam,
  pred,
  ncol = 1,
  xlab = NULL,
  ylab = "fit",
  scales = "free",
  size = 0.5,
  fill = "steelblue2",
  color = "black",
  alpha = 1)

Arguments

qgam: An mqgam object created with qgam::mqgam.
pred: The predictor term to plot. Note: This is no longer identical to the pred argument specified for itsadug::plot_parametric.
ncol: The number of columns of the multi-panel plot.
xlab: The x-axis label.
ylab: The y-axis label.
scales: Should scales be free ("free", the default) or fixed ("fixed")?
size: Size argument for the ggplot object; specifies the size of the line.
fill: Color argument for the ggplot object; specifies the color of the confidence interval.
color: Color argument for the ggplot object; specifies the color of the line.
alpha: Alpha argument for the ggplot object; specifies the transparency of the confidence interval.

Value

A ggplot object.

References

Fasiolo M., Goude Y., Nedellec R., & Wood S. N. (2017). Fast calibrated additive quantile regression. URL: https://arxiv.org/abs/1707.03307

van Rij J, Wieling M, Baayen R, & van Rijn H (2020). itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs. R package version 2.4.

Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.

Author

D. Schmitz

Examples


# basic example
facet_smooth_plot(qgam = mtqgam_mqgam,
  pred = "numeric_2")
#> i Plotting multi-panel plot for smooth term numeric_2.


# combining facet_smooth_plot with ggplot2
facet_smooth_plot(qgam = mtqgam_mqgam,
  pred = "numeric_2") +
  theme_void() +
  labs(subtitle = "This is a subtitle")
#> i Plotting multi-panel plot for smooth term numeric_2.