updated -- seeing if shifting heading fixes formatting

openjournals/joss-reviews#1279

paper/paper.md

@@ -54,6 +54,15 @@ By design, `tsfeaturex` is able to cope with missing data (in R, of class `NA`),
 ## Feature Roadmap
 The current expectation is that over time, `tsfeaturex`, will allow for two-levels of feature extraction from almost any data form (e.g., text, audio, images): (1) extracting time-series descriptive features from numerical data (already implemented); (2) extracting numerical features from non-numerical data (e.g., number of exclamation points in Twitter data; coming soon).
 
+# Figures
+Figure 1 depicts example `wide`(top) and `long`(bottom) data structures for a dataset containing two (2) measurements from two (2) individuals.  Notice that there is one row for each individual in the `wide` format, and two (2) rows for each individual in the `long` format, one for each column.
+
+![Figure 1. Flexible data structure output -- request `long` or `wide` format](datashape.PNG "Figure 1. Flexible data structure output -- request `long` or `wide` format")
+
+Figure 2 depicts sample time series data from two participants, both with mean value of 5. You will notice, although they have identical means, the shape of the time series, and locations of peaks is different. `tsfeaturex` calculates features to better characterize differences such as these.
+
+![Figure 2. The mean doesn't tell the whole story](figure.png "Figure 2. The mean does not fully describe the time-series.")
+
 # Mentions of Ongoing Projects
 `tsfeaturex` is currently being used in analysis of experience sampling and multi-trial performance data in a variety of projects at the interface of data science and psychological science, including:
 
@@ -66,15 +75,6 @@ The current expectation is that over time, `tsfeaturex`, will allow for two-leve
   * Effects of Stress on Cognitive Aging, Physiology, and Emotion (ESCAPE)
     * [Learn More About This Project](https://sliwinskilab.weebly.com/research-projects.html)
 
-# Figures
-Figure 1 depicts example `wide`(top) and `long`(bottom) data structures for a dataset containing two (2) measurements from two (2) individuals.  Notice that there is one row for each individual in the `wide` format, and two (2) rows for each individual in the `long` format, one for each column.
-
-![Figure 1. Flexible data structure output -- request `long` or `wide` format](datashape.PNG "Figure 1. Flexible data structure output -- request `long` or `wide` format")
-
-Figure 2 depicts sample time series data from two participants, both with mean value of 5. You will notice, although they have identical means, the shape of the time series, and locations of peaks is different. `tsfeaturex` calculates features to better characterize differences such as these.
-
-![Figure 2. The mean doesn't tell the whole story](figure.png "Figure 2. The mean does not fully describe the time-series.")
-
 # Acknowledgements
 Nelson A. Roque was supported by National Institute on Aging Grant T32 AG049676 to The Pennsylvania State University.