repatedTrain object, writes
results to disk and generates a report in html format.
"reportHTML"(object, filename, extension = "html", directory = getwd(), Title, binSize = 0.025, method = c("gsspsth0", "gsspsth", "gampsth"), stimTimeCourse = NULL, colCI = 2, doTimeTransformation = TRUE, k = 100, bs = "tp", doGamCheck = FALSE, ...)repeatedTrain object.R data files which will be
generated. See also HTMLInitFile.HTMLInitFile.HTMLInitFile.HTMLInitFile. If missing a default
value baed on filename is provided.plot.repeatedTrain and
plot.gsspsth, plot.gsspsth0, plot.gampsth.gam.check be used on the inhomogenous Poisson fit
performed to obtain the smooth PSTH if method was set to gampsth?gampsth.R variables generated during
the analysis.
plot.transformedTrain) with a smooth PSTH
(gsspsth, gsspsth0,
gampsth.)
superposed. The summary of the inhomogenous Poisson fit leading the
smooth PSTH is added next together with a short summary describing
how accurate the hypothesis of constant intensity/rate made during the
pre-processing of the repeatedTrain was in view of the
estimated rate. Check gsspsth, gsspsth0,
gampsth for details. A plot of the
smooth PSTH with 95% CI (approximate in the case of
gampsth) is added. If doGamCheck is
set to TRUE and if method is set to gampsth a
diagnostic plot for the fitted inhomogenous
Poisson model is added. If doTimeTransformation is set to
TRUE the estimated integrated intensity is used to perform a
time transformation and Ogata's test plots are generated. A R data file (filename.rda) is also generated with the
following objects:
PoissonF: the gssanova,
gssanova0 or gamObject object containing
the result of the gssanova,
gssanova0 or gam fit with the inhomogenous
Poisson model.
Lambda: the integrated intensity of repeatedTrain
under the inhomogenous Poisson model hypothesis. If
doTimeTransformation was set to TRUE.
fct: the matched call.
as.repeatedTrain,
plot.repeatedTrain,
summary.repeatedTrain,
gsspsth,
gsspsth0,
gampsth,
transformedTrain,
plot.transformedTrain,
summary.transformedTrain,
gssanova,
gssanova0,
gam,
gam.check,
frt
## Not run:
# ## load e070528citronellal data set
# data(e070528citronellal)
# ## make a standard analysis on the first neuron
# reportHTML(e070528citronellal[["neuron 1"]],"e070528citronellalN1",stim=c(6.14,6.64))
# ## End(Not run)
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