# Random Walk.
# Build CV model.
# Report fit in terms of r-squared.
library(tidyverse)
fil <- "input/181015_10mg-kgAMPH_50mM Nimo_2_1_stim.csv"
sample_rate <- 100
dat <- read_experiment_csv(fil, sr = sample_rate)
vmax_min <- 0.1
vmax_max <- 4.1
vmax_by <- 1
km_min <- 0.5
km_max <- 1.0
km_by <- 0.2
release_min <- 2.5
release_max <- 3.5
release_by <- .5
pulses <- 30
pulse_freq <- 50
bin_size <- 2.0
electrode_distance <- 1000
dead_space_distance <- 4
diffusion_coefficient <- 2.7 * 10^-6
convert_current = TRUE
calibration_current = 7500.0
calibration_concentration = 5.0
arg_df <- create_arg_df(vmax_min, vmax_max, vmax_by, km_min,
km_max, km_by,
pulses, pulse_freq,
release_min, release_max, release_by, bin_size,
electrode_distance, dead_space_distance, diffusion_coefficient,
convert_current, calibration_current, calibration_concentration)
arg_df
fit <- calc_fit_multi(dat, arg_df)
fit
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