variation_plot: set XTickLabelRotation 0 after xticklabels('auto') so many-day
windows (e.g. unmerge_d0_10, 11 ticks) no longer auto-rotate to vertical; nudge
the y-axis label left for breathing room from the tick numbers. Regenerated all
learning-curve figures.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
variation_plot: for the count metric set YTick to every 5 units (spanning the
data); grid on for both metrics (rate keeps auto 0.2 ticks). Regenerated all
learning-curve figures.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Port the unmerge_d0_5 fix (b6dc69c) into variation_plot.m: tight centred plot
box (Position [0.2 0.30 0.60 0.60]), TickDir out, and xticklabels('auto') --
which keeps x labels horizontal when they fit (<=~10 days) and auto-rotates
them when crowded (e.g. 14-day windows). Replaces the manual rotated-text hack.
Regenerated all learning-curve figures; removed the stray plotcurve.asv and
gitignored *.asv.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
exportgraphics on headless invisible figures ignores XTickLabelRotation/
xtickangle, so the labels stayed horizontal. Draw the tick labels as rotated
text objects (Rotation 90) instead, add bottom margin, and drop the 'training
day' axis label below them. Regenerated all learning-curve figures.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
xtickangle(90) did not apply in headless export; set XTickLabelRotation=90
directly and drawnow before exportgraphics. Regenerated all learning_curve
.png / learning_curve_rate.png.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Refactor variation_{analyze,power,logpower,plot}.m to run both count and rate
metrics; plot x-axis labels vertical (xtickangle 90). SUMMARY.csv gains
interaction_p_rate / interaction_p_rs_rate.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add variation_plot.m + make_variation_plot.m, dropping plotcurve.m +
learning_curve.png into all 28 variation folders. Each figure plots mean +/-
SEM successful reaches per training day for the anodal/treatment group (red)
vs control (blue), in the style of the paper ("Lines indicate mean (and SEM)
across animals in the anodal (red) and control (blue) groups"). Per-group N is
read from the data and shown in the legend; training day is 1-indexed (our day
0 = paper Day 1). Headless via exportgraphics. prev_f_full reproduces the
paper's own figure (anodal N=12 vs control N=12).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Experiments DB Dev