conc_calc: Summarize data and generate linear regression to fit...
In JaclynSmith/qPCRr: A Set of Functions to Process and Graph qPCR Data

Summarize data and generate linear regression to fit standards, report linear reg variables and the plot of the summarized data

1	conc_calc(data_table, yint, slope, avg_length, dilution_fact, kit)

`data_table`	a tibble with unknown samples, 3 columns: sample_name, target_name, and ct
`yint`	a numeric, the y intercept of the regression line
`slope`	a numeric, the slope of the regression line
`avg_length`	a numeric, the avg length of the molecules in the library
`dilution_fact`	a numeric, the dilution factor used for quantification ie for 1:1000, you put 1000
`kit`	a string either KAPA or NEB