Using One Sample Kolmogorov Smirnov Test in R for in-group Variation Distribution

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In order to compare the voice characteristics "Low.Frequency," "High Frequency," etc. among the parasitic and non-parasitic groups of my data, I'm trying to identify the in-group variance for each group. Here is the dataset's structure because my dataset is quite large.

> str(mydata) 'data.frame': 1065 observations across 7 variables
African Cuckoo (Cuculus gularis) $ Cuckoo.Sp. : Factor with 79 levels "": 74 1 1 1 1 1 57 1 1 1...
Factor with two levels of "Non-Parasitic" Parasitism: 2 2 2 2 2 2 2 2 2...
Low.Frequency: 2256, 2071, 2223, 2052, 2227.
Nume: 3802 3930 3752 3874 3869, High.Frequency: $...
# 1546 1860 1529 1822 1642; $ Delta.Frequency...
num $ Delta.Time: 0.486, 0.445, 0.422, 0.451, 0.538, 0.474, 0.678, 0.76, 0.747, 0.752
Peak.Frequency: 3000, 28, 42, 29, 50, 28, 42, 3165, $