Figure 5.

Pairwise relationship of dataset. We plotted (from left to right and top to bottom) sex, age, visual acuity (VA, logarithm of the minimum angle of resolution [logMAR]), total retinal thickness (μm), full-field stimulus testing (FST) (decibels, white light stimulation), pupil diameter before light stimulation ($Pupi{l}_{before}$, mm), pupil change to cone1 stimuli ($Pupi{l}_{cone1}$, mm), pupil change to mela1 stimuli ($Pupi{l}_{mela1},mm$), and pupil change to mela2 stimuli ($Pupi{l}_{mela2}$, mm). The diagonal shows distribution of each variable (bar chart for categorical data and histogram for continuous data). Lower triangular panels show the pairwise relationship of features. The blue rectangle highlights the relationship of VA (logMAR) to other measurements. Upper triangular panels show the estimated correlation coefficient, estimated from a multivariate model, with density plots showing the distribution of estimated correlation coefficients. Red indicates negative correlation (P < 0), and blue indicates positive correlation (P > 0). The mean (black point) and 95% confidence interval (black bar) are indicated on the bottom of the density plot. Numbers on top indicate the mean, and the dotted line denotes the zero line. The orange rectangle highlights the correlation coefficients of features with VA.