Hi! I’m Joscelin Rocha-Hidalgo, Ph.D.

I created this site to tell you a little bit about me, my scientific career, & other data-science projects. I have a passion for education, neuroscience, & child development research.

I currently am an Assistant Research Professor working with Dr. Koraly Perez-Edgar at the CAT Lab at Penn State University.

Profile picture from Joscelin sitting at a courtyard smiling

Welcome to my online home!

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Scatterplot grid of penguins. Rows show species: Adelie (red), Chinstrap (green), Gentoo (blue). Columns show islands: Biscoe, Dream, Torgersen. X-axis is flipper length in millimeters, y-axis is body mass in grams. Each dot is one penguin. Y-axis scales differ by row.

Ragged facets in ggplot2 with {ggragged}

Faceted plots in ggplot2 are powerful but sometimes too rigid. In this blog post, we’ll use the palmerpenguins dataset to explore how the {ggragged} package makes it easy to…

Dr. Joscelin Rocha-Hidalgo
Sep 29, 2025

Five examples of figures for a corralation table. In the top left, we see a heat map overlaid with a dendrogram. The heat map employs shades of red to indicate varying degrees of positive correlation among several variables, with lighter shades indicating stronger relationships. The dendrogram, a tree-like diagram, depicts the clustering of variables based on the strength of their correlations. The top right quadrant features scatter plots matrix (sometimes called a pairs plot) for various variable combinations. Each scatter plot shows the relationship between two different variables, with a Pearson correlation coefficient displayed prominently. Additionally, histograms along the diagonal show the distribution of each individual variable.The bottom left image presents a circular layout where variables are arranged around a circle, with curved lines connecting them. The thickness and color of the lines indicate the strength and nature of the correlation (positive or negative), and alongside each line, the corresponding correlation coefficient is displayed. The center image features a somple heat map . The heat map employs shades of red to indicate the varying degrees of positive correlation and purple shades for negative correlations. The more solid the color is, the closer to one or negative one. Finally, the bottom right section contains a classic correlation matrix, with squares colored on a gradient from blue (negative correlation) to red (positive correlation). A scale on the right side indicates the range of correlation values, and the matrix is symmetrical about the diagonal, which is left blank, emphasizing the redundancy of mirroring values.

Visualizing Correlations Using the corrplot package

Creating various types of correlation tables to explore relationships between variables is a crucial part of data analysis. In this blog post, we’ll use the palmerpenguins…

Dr. Joscelin Rocha-Hidalgo
Mar 22, 2024

Five examples of figures for a corralation table. In the top left, we see a heat map overlaid with a dendrogram. The heat map employs shades of red to indicate varying degrees of positive correlation among several variables, with lighter shades indicating stronger relationships. The dendrogram, a tree-like diagram, depicts the clustering of variables based on the strength of their correlations. The top right quadrant features scatter plots matrix (sometimes called a pairs plot) for various variable combinations. Each scatter plot shows the relationship between two different variables, with a Pearson correlation coefficient displayed prominently. Additionally, histograms along the diagonal show the distribution of each individual variable.The bottom left image presents a circular layout where variables are arranged around a circle, with curved lines connecting them. The thickness and color of the lines indicate the strength and nature of the correlation (positive or negative), and alongside each line, the corresponding correlation coefficient is displayed. The center image features a somple heat map . The heat map employs shades of red to indicate the varying degrees of positive correlation and purple shades for negative correlations. The more solid the color is, the closer to one or negative one. Finally, the bottom right section contains a classic correlation matrix, with squares colored on a gradient from blue (negative correlation) to red (positive correlation). A scale on the right side indicates the range of correlation values, and the matrix is symmetrical about the diagonal, which is left blank, emphasizing the redundancy of mirroring values.

Correlation Tables and Figures

Creating various types of correlation tables to explore relationships between variables is a crucial part of data analysis. In this blog post, we’ll use the palmerpenguins…

Dr. Joscelin Rocha-Hidalgo
Mar 8, 2024
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This was a super helpful list of resources when someone in my lab suggested I lead my first ever #rstats workshop this week. Big wins included several folks downloading and opening R for the first time, importing a csv, and looking at some amazing cat tracking data 🥳

Katie Valentine (@kavalen22) shared about the database

Learn more abour the R resouRces database

R Skills Portfolio

@JoscelinRocha was the first R for the Rest of Us intern in 2022. She helped out on a number of projects, including the Pneumonia & Diarrhea Progress Report Card and behind-the-scenes work to get the Package Development with R course out the door.

R for the Rest of Us about Joscelin as their 2022 Intern

Look at a report she worked on

Research Portfolio

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Teaching

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