TABLE 1.
Photoreceptor | β(RW) | se | p Value | β(GW) | se | p Value | β(BW) | se | p Value | R2 | Mean error | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Daylight illuminants | ||||||||||||
Our Actiwatch | S-cone | 1.707 | 0.124 | <0.001 | −9.126 | 0.351 | <0.001 | 27.947 | 0.288 | <0.001 | 1.000 | 0.0022 |
L-cone | 1.732 | 0.003 | <0.001 | 5.789 | 0.010 | <0.001 | 0.249 | 0.008 | <0.001 | 1.000 | 0.0001 | |
Rod | 0.962 | 0.049 | <0.001 | 4.114 | 0.138 | <0.001 | 10.822 | 0.114 | <0.001 | 1.000 | 0.0008 | |
ipRGC | 0.930 | 0.066 | <0.001 | 1.563 | 0.189 | <0.001 | 14.692 | 0.155 | <0.001 | 1.000 | 0.0011 | |
Price et al.’s Typical Actiwatch | S-cone | 2.364 | 0.191 | <0.001 | −12.029 | 0.501 | <0.001 | 33.148 | 0.483 | <0.001 | 1.000 | 0.0031 |
L-cone | 1.738 | 0.009 | <0.001 | 5.890 | 0.025 | <0.001 | 0.022 | 0.024 | 0.359 | 0.999 | 0.0001 | |
Rod | 1.160 | 0.067 | <0.001 | 2.815 | 0.176 | <0.001 | 12.616 | 0.170 | <0.001 | 1.000 | 0.0010 | |
ipRGC | 1.221 | 0.095 | <0.001 | −0.147 | 0.250 | 0.563 | 17.258 | 0.241 | <0.001 | 1.000 | 0.0014 | |
Fluorescent illuminants | ||||||||||||
Our Actiwatch | S-cone | −0.133 | 0.064 | 0.837 | −2.930 | 2.223 | 0.200 | 20.465 | 2.875 | <0.001 | 0.873 | 0.0437 |
L-cone | 1.676 | 0.064 | <0.001 | 6.496 | 0.223 | <0.001 | −0.555 | 0.289 | 0.066 | 0.796 | 0.0040 | |
Rod | 0.983 | 0.870 | 0.270 | −0.294 | 3.036 | 0.924 | 15.051 | 3.925 | 0.001 | 0.611 | 0.0607 | |
ipRGC | 0.902 | 1.036 | 0.393 | −3.344 | 3.614 | 0.364 | 19.242 | 4.673 | <0.001 | 0.630 | 0.0649 | |
Price et al.’s Typical Actiwatch | S-cone | −1.044 | 0.965 | 0.290 | −1.350 | 3.928 | 0.734 | 18.616 | 5.372 | 0.002 | 0.800 | 0.0545 |
L-cone | 1.858 | 0.099 | <0.001 | 5.924 | 0.405 | <0.001 | 0.084 | 0.554 | 0.881 | 0.664 | 0.0053 | |
Rod | −1.071 | 1.180 | 0.373 | 7.497 | 4.804 | 0.132 | 4.701 | 6.570 | 0.481 | 0.508 | 0.0607 | |
ipRGC | −1.662 | 1.445 | 0.261 | 6.271 | 5.882 | 0.297 | 6.596 | 8.046 | 0.420 | 0.504 | 0.0845 |
R2 is calculated by the square of the correlation between the observed and predicted values, a conservative statistic for describing the fitting quality of regression through the origin model. The error is computed by |log (Ŷ/Y)|, where Y and Ŷ are observed and predicted values, respectively.