cumdy: Function to detect year transitions and calculate cumulative...

Description Usage Arguments Value References Examples

View source: R/cumdy.r

Description

Takes the result of iterative growth modeling and transforms data from Julian Day (0 - 365) to cumulative day of the shell age by detecting where transitions from one year to the next occur and adding full years (365 days) to simulations in later years.

Usage

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cumdy(resultarray, threshold = 5, plotyearmarkers = TRUE)

Arguments

resultarray

Array containing the full results of the optimized growth model

threshold

Artificial threshold value used to recognize peaks in occurrences of year transitions (default = 5)

plotyearmarkers

Should the location of identified year transitions be plotted? TRUE/FALSE

Value

A new version of the resultarray with Julian Day model estimates replaced by estimates of cumulative age of the record in days.

References

package dependencies: zoo 1.8.7

Examples

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testarray <- array(NA, dim = c(20, 16, 9)) # Create empty array
# with correct third dimension
windowfill <- seq(50, 500, 50) # Create dummy simulation data 
# (ages) to copy through the array
for(i in 6:length(testarray[1, , 1])){
    testarray[, i, 3] <- c(windowfill, rep(NA, length(testarray[, 1, 3]) -
        length(windowfill)))
    windowfill <- c(NA, (windowfill + 51) %% 365)
}
testarray[, 1, 3] <- seq(1, length(testarray[, 1, 3]), 1) # Add
# dummy /code{D} column.
testarray2 <- cumdy(testarray, 3, FALSE) # Apply function on array

ShellChron documentation built on July 5, 2021, 5:06 p.m.