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#' @title Get mean activity change within a trial
#'
#' @description `within_trial_change` finds the change in mean values between beginning and end of entered time range.
#'
#' @importFrom dplyr case_when
#' @param Dataframe a GCalcium-format data frame or matrix
#' @param Trial a single trial number
#' @param Beg.period time frame of period 1 to be compared to period 2
#' @param End.period time frame of period 2 to be compared to period 1
#' @return vector with AUC for each curve in a trial
#' @examples
#' # In trial 1, how much did the mean value change between -2s and 0s, and 0 and 2s?
#' df.new <- format_data(data = GCaMP)
#' within_trial_change(Dataframe = df.new, Trial = 1, Beg.period = c(-2, 0), End.period = c(0, 2))
#' @export
within_trial_change <- function(Dataframe, Trial, Beg.period = FALSE, End.period = FALSE){
#
trialind <- Trial + 1
### Default of first second and last second
case_when(
Beg.period == FALSE ~ c(min(Dataframe[1]), min(Dataframe[1]) + 1),
Beg.period == TRUE ~ Beg.period
)
case_when(
End.period == FALSE ~ c(max(Dataframe[1]) - 1, max(Dataframe[1])),
End.period == TRUE ~ End.period
)
### Extract time period values
beg.start <- Beg.period[1]
beg.stop <- Beg.period[2]
end.start <- End.period[1]
end.stop <- End.period[2]
### Beginning period subset
beg1 <- Dataframe[Dataframe[1] >= beg.start & Dataframe[1] <= beg.stop,]
beg.mean <- mean(beg1[,trialind])
### Ending period subset
end1 <- Dataframe[Dataframe[1] >= end.start & Dataframe[1] <= end.stop,]
end.mean <- mean(end1[,trialind])
mean.change <- end.mean - beg.mean
return(mean.change)
}
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