error in fit_SurfaceExposure() if data contains NAs

[mcol]

The following generates unexpected warnings:

data("ExampleData.SurfaceExposure", envir = environment())
fit_SurfaceExposure(rbind(ExampleData.SurfaceExposure$sample_1, NA))

# Warning messages:
# 1: NA values in 'data' were removed. 
# 2: In plot_settings$x[, 2] - error :
#   longer object length is not a multiple of shorter object length
# 3: In plot_settings$x[, 2] + error :
#   longer object length is not a multiple of shorter object length

Warning 1 is fine as we raise it when we remove the NAs. However the other two are signalling a bug. Indeed, the following is incorrect:

Luminescence/R/fit_SurfaceExposure.R

Lines 292 to 307 in 759a114

	# extract errors into seperate variable
	if (ncol(data) >= 3 && !global_fit)
	error <- data[ ,3]
	else
	error <- NULL
	## Take only the first to columns (depth, signal)
	if (ncol(data) > 2 && !global_fit)
	data <- data[ ,1:2]
	## remove rows with NA
	if (any(is.na(data))) {
	data <- data[complete.cases(data), ]
	if (settings$verbose)
	warning("NA values in 'data' were removed.", call. = FALSE)
	}

What happens, is that we first save column 3 of our data into the error variable, then a few lines below, we remove all NAs. At this point error has length 102, but data has length 101, and the additional warnings are thrown here because of this mismatch.