Defines functions slopeEveryN

Documented in slopeEveryN

#' @export
slopeEveryN <-
function(x, n=2, lag=round(n/2)) {
  # only to be applied to a vector (x) of data 
  # will first convert vector to a matrix of n rows by length/n columns
  # thus allowing for apply to be invoked across a specific column of values
  # if each column is n samples in size
  # added lag to allow the slope calculation to be centred around 
  # the sample period appropriately
  if(n==1) y<-1; z<-1
  if (n>1)
    t<-seq(0,length(x)-1,1) # create a 'false time index' going from 0 to length of vector
    lagx<-x[lag:length(x)]    # re-sample vector x, going from sample (N)/2:  will alow to centre calculations for slope
    rem<-len/n-trunc(len/n)   # check if vector is evenly divisible by # samples
    lagt<-t[lag:length(t)]    # create corresponding time vector according to the lag
    final.x<-rep(NA,newlen)       # create new vector (xxx) that is an evenly divisible length filled with NA
    final.t<-rep(NA,newlen)       # create new vector (ttt) that is an evenly divisible length filled with NA
    #lagx<-replace(xx,1:newlen,x) # fill xx with the values from x, leaving final NA values if exist
    resam<-matrix(matrix(final.x), nrow=n) # convert vector to matrix to allow the BY column calculation
    retim<-matrix(matrix(final.t), nrow=n) # convert 

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Thermimage documentation built on Nov. 6, 2018, 1:03 a.m.