chng_pnt_algo: chng_pnt_algo
View source: R/chng_pnt_algo.R
| chng_pnt_algo | R Documentation |
chng_pnt_algo
Description
chng_pnt_algo
Usage
chng_pnt_algo(
v,
dat,
namX = "X",
namY = "Y",
col_pt = rgb(0, 0, 0, 0.125),
col_app = "red",
col_op = "blue",
gr_app = T,
gr_op = T,
gr_leg = T
)
Arguments
v |
The vector which is the concatenation of the (approximate/estimated/initial guess)breakpoints and the (estimated/initial guess)plateau heights vectors |
dat |
The two column dataframe over which you want to optimize the (plateau/slope) curve. The first column is the x-axis, while the second column is the y-axis |
namX |
The X-axis label of the output graph(default to 'X') |
namY |
The Y-axis label of the output graph(default to 'Y') |
col_pt |
The datapoints colour of the output scatter plot(recommended to use rgb(R,G,B,Tr)) of your raw data |
col_app |
The colour of the approximated (estimated/initial guess) lines/curve overlayed on your raw data plot(dat), generated using your input vector(v) |
col_op |
The colour of the calculated/optimized(calculated/optimized by the chng_pnt_algo) line/curve overlayed over your raw data(dat) |
gr_app |
A binary bit(default set to T) asking whether the user wants to see the approximated/estimated/initial guess curve, derived from vector v, overlayed on the raw data(dat) |
gr_op |
A binary bit(default set to T) asking whether the user wants to see the optimized/calculated line/curve overlayed on the raw data plot(data) |
Value
Returns a list L, containing information about the optimization calculation with the new optimized vector v , new breakpoints Bp and the new heights H.
