library(dplyr)
library(stringr)
plt <- function(stim_low, stim_high, max_sec, gt) {
dat <- stim_df %>%
filter(between(stimulus, stim_low, stim_high),
between(stim_time_sec, 0, max_sec),
include == TRUE,
genotype == gt)
dat$animal <- factor(dat$animal)
dat$stimulus <- factor(dat$stimulus)
dat$genotype <- factor(dat$genotype)
ggplot(dat) +
geom_line(aes(x = stim_time_sec, y = electrode_concentration,
color = animal)) +
labs(title = str_c(toupper(gt), " by Stimulus")) +
facet_wrap(. ~ stimulus)
}
plt(1, 3, 5, "wt")
plt(4, 5, 15, "wt")
plt(6, 10, 15, "wt")
plt(11, 15, 15, "wt")
plt(16, 20, 20, "wt")
plt(21, 25, 25, "wt")
plt(26, 30, 25, "wt")
plt(1, 3, 5, "ko")
plt(4, 5, 15, "ko")
plt(6, 10, 15, "ko")
plt(11, 15, 15, "ko")
plt(16, 20, 20, "ko")
plt(21, 25, 25, "ko")
plt(26, 30, 25, "ko")
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