extract_features efficiently extracts various features
such as the pattern sinuosity indices, coefficient of variation, and max-min width
from the output of
extract_features efficiently extracts common features from the continuous dorsal pattern of a female brown anole lizard, Anolis sagrei,
such as the pattern sinuosity indices, coefficient of variation, and max-min width.
The input data should either be a
data.frame object with the columns indicating the xy-coordinates and the location of the pixels.
data.table object with the following columns:
left/right pattern sinuosity index (PSI), computed as
average pattern sinuosity index (PSI), (
rs_ind) / 2
left/right pattern coefficient of variation (PCV), computed by dividing the standard deviation of the distance values between mid-dorsal axis and left/right pattern by the average distance.
average pattern coefficient of variation (PCV), (
rt_pcv) / 2
the maximum and the minimum width between the left and the right pattern
average width between the left and the right pattern
pattern max-min width (PMM), (
pattern asymmetry index (PASY), computed by first subtracting the distance between mid-dorsal axis and left pattern from the corresponding distance between mid-dorsal axis and right pattern and then taking the average of the resulting differences; the closer to zero it is, the more symmetric the dorsal pattern is on average
the length (the count of pixels) of the left pattern, the right pattern, and the mid-dorsal axis, respectively
Seong Hyun Hwang, Rachel Myoung Moon
1 2 3 4 5
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.