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## ----rsetup-knitr,eval=TRUE,include=FALSE-----------------
require(knitr)
options(width=60)
opts_chunk$set(cache=TRUE)
## ---------------------------------------------------------
require(meaRtools)
## ---------------------------------------------------------
poisson_train <- function(n = 1000, rate = 1, beg = 0) {
## Generate a Poisson spike train with N spikes and firing rate RATE.
## BEG is time of start of recording
## Check that the histogram looks exponentially distributed.
## hist( diff(poisson_train()))
x <- runif(n)
isi <- log(x) / rate
spikes <- beg - cumsum(isi)
spikes
}
a = poisson_train()
b = sort(a + runif(length(a), -0.1, 0.1))
c = b + 0.8
allspikes = list(a=a, b=b, c=c)
## ---------------------------------------------------------
range = range(unlist(allspikes))
beg = range[1]
end = range[2]
sttc(a, b, dt=0.01, rec_time = c(beg, end))
## ---------------------------------------------------------
sttc_allspikes1(allspikes, 0.01, beg, end)
## ---- fig.width = 6, fig.height=6-------------------------
par(mfrow=c(2,2), las=1)
dt = 1.0; plot(sttcp(a, b, dt = dt, beg = beg, end = end), main=sprintf("a x b: dt = %.3f",dt))
dt = 0.5; plot(sttcp(a, c, dt = dt, beg = beg, end = end), main=sprintf("a x c: dt = %.3f",dt))
dt = 0.1; plot(sttcp(a, c, dt = dt, beg = beg, end = end), main=sprintf("a x c: dt = %.3f",dt))
dt = 0.05; plot(sttcp(a, c, dt = dt, beg = beg, end = end), main=sprintf("a x c: dt = %.3f",dt))
## ---------------------------------------------------------
demas_platelayout = list(n_well = 6,
wells = paste0("w", 1:6),
n_well_r = 2,
n_well_c = 3,
layout = c(3, 2),
n_elec_r = 8,
n_elec_c = 8,
xlim = c(-100, 7200),
ylim = c(0, 6000),
spacing = 200,
corr_breaks = 0
)
add_plateinfo("demas-6well", demas_platelayout)
times = system.file("extdata/textreader/demas.times", package="meaRtools")
pos = system.file("extdata/textreader/demas.pos", package="meaRtools")
s = read_spikelist_text(times, pos, array="demas-6well")
## ---------------------------------------------------------
sttc_results = compute_sttc_by_well(s)
head(sttc_results)
## ----fig.width = 6, fig.height=6--------------------------
require(lattice)
xyplot(STTC ~ Distance | Well, data = sttc_results,
main = "STTC by well",
pch=20, xlab = "Distance (um)")
## ---------------------------------------------------------
sttc_file = tempfile(fileext=".csv")
write.csv(sttc_results, file=sttc_file, row.names=FALSE)
## ---------------------------------------------------------
cat(readLines(sttc_file, 10), sep='\n')
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