added code from paper as test with seaborn code to backcheck

Author: markur4

tests/_paper_test.py

@@ -0,0 +1,35 @@
+### IMPORT PLOTASTIC
+import plotastic as plst
+
+# IMPORT EXAMPLE DATA
+DF, _dims = plst.load_dataset("fmri", verbose=False)
+# EXPLICITLY DEFINE DIMENSIONS TO FACET BY
+dims = dict(
+    y="signal",  # y-axis, dependent variable
+    x="timepoint",  # x-axis, independent variable (within-subject factor)
+    hue="event",  # color, independent variable (within-subject factor)
+    col="region",  # axes, grouping variable
+)
+# INITIALIZE DATAANALYSIS OBJECT
+DA = plst.DataAnalysis(
+    data=DF,  # Dataframe, long format
+    dims=dims,  # Dictionary with y, x, hue, col, row
+    subject="subject",  # Datapoints are paired by subject (optional)
+    verbose=False,  # Print out info about the Data (optional)
+)
+# STATISTICAL TESTS
+DA.check_normality()  # Check Normality
+DA.check_sphericity()  # Check Sphericity
+DA.omnibus_rm_anova()  # Perform RM-ANOVA
+DA.test_pairwise()  # Perform Posthoc Analysis
+# PLOTTING
+(
+    DA.plot_box_strip().annotate_pairwise(  # Pre-built plotting function initializes plot  # Annotate results from DA.test_pairwise()
+        include="__HUE"  # Use only significant pairs across each hue
+    )
+)
+
+
+### BACK-CHECK
+import seaborn as sns
+sns.catplot(data=DF, **_dims)