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Splines in ggplot2

Wed, 20 May 2026 09:00:00 +0800

When visualizing trend data, standard line plots can sometimes look a bit too rigid or jagged. If you want to create a smoother, more aesthetically pleasing curve through your data points, splines are a great solution.

In this post, we’ll look at how to easily replace standard lines with X-splines in ggplot2 using the geom_xspline() function from the ggfun package.

The Jagged Baseline §

First, let’s look at the default behavior. We’ll set up a simple dataset with two groups and plot it using the standard geom_line(). Notice how the lines connect point-to-point with sharp angles.

Shubham Dutta, Ph.D.

Sat, 10 Jan 2026 17:09:00 +0000

¹I am a Senior Research Scientist at Massbiologics Non-Human Primate Reagent Research (NHPRR) group. I lead antibody development in the neotropic NHP part of the group. My work here is to develop validated antibodies that are used in both in vitro and in vivo in preclinical NHP studies.

I completed my Ph.D. in Biomedical Sciences from University of Massachusetts Medical School in 2018. Previously, I did my MS in Biophysics and Molecular Biology and BS in Microbiology from University of Calcutta.

Dose response in R

Sun, 14 Dec 2025 09:00:00 +0800

In this post, I will walk through a complete workflow for dose-response analysis using 4-parameter logistic (4PL) modeling. I will cover importing raw microplate data, fitting 4PL curves to extract EC₅₀ values with the drc package, and finally, demonstrating how to use ggplot2 to visualize dose-response curves.

Setup §

Let’s begin by loading a few packages that we will need:

library(dplyr)
library(ggplot2)
library(tidyplate)
library(drc)
library(ggtext)

We import dose-response data using the tidy_plate function from the tidyplate¹ package.

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