Locations of folders and files

It is important to understand where rbacon goes to look for files and will place new files. The first time rbacon is running in a new working directory, it will look for an ‘umbrella’ folder called Bacon_runs (or Cores), and if it doesn’t find this, it will ask if it may make one. Either accept the suggestion, or provide an alternative folder by specifying coredir:

mydir <- tempdir()
Bacon(coredir=mydir)

Within this umbrella folder are folders for each individual core. For example, if you’ve run the default core, there will be a folder MSB2K, and similarly for RLGH3. Within each core folder there will be the file with the dates, starting with the core name and ending with the .csv extension, e.g., MSB2K.csv. So, if your core is named MyLakeCore, then Bacon will look for a folder called MyLakeCore, and then within that folder looks for a file MyLakeCore.csv. Take care with capitalisation, and it’s also best not to use spaces in the names.

Your file should contain headers as below, and the fields should be separated by commas. In a spreadsheet program such as MS-Excel or Libreoffice’s Calc, you can save your file as .csv. It’s often a good idea to then open your .csv file in a plain-text editor such as Wordpad or Notepad, to check that everything looks clean (e.g., no lines filled with just commas, or lots of quotation marks).

What it looks like in a spreadsheet program:

And in a plain-text editor (with spaces added for enhanced readability):

lab ID, Age, Error, Depth, cc
UBA-28881, 2200, 20, 5, 1
UBA-28882, 2400, 20, 10, 1
UBA-28883, 3550, 30, 20, 1
UBA-28884, 4200, 35, 25, 1

Some users have reported problems with writing access to some of their folders, owing to permission limitations set by the computer’s administrator. Perhaps you might have access to an external disk drive, e.g., D:\. Then run Bacon as Bacon("MyCore", coredir="D:\"). Then Bacon will look for a folder MyCore in D:\.

If you have dates with age offsets, such as marine dates from a region with a known delta.R and delta.STD, then this can be specified, either as option (e.g., Bacon(delta.R=130, delta.STD=30)), or, recommended, as extra columns in your core’s csv file. Add them as columns 6 and 7 (in this example, the second date is terrestrial and has no assumed age offset):

By default, Bacon uses the student-t distribution¹ to model the dates, rather than the more usual normal distribution (default: Bacon(normal=FALSE)). With the default parameters t.a=3 and t.b=4, this distribution looks very much like the normal distribution, but it has wider tails. This makes for a very robust model, because it handles scatter and outliers very well. In many cases, Bacon will be able to find its way through most dates while bypassing outlying dates.

In some cases, some dates could be more reliable than others (e.g., some would consist of very reliable charcoal particles, while others would be based on bulk sediment). Then such dates can be given student-t values which resemble the normal distribution (e.g., t.a=33, t.b=34), either as option in the Bacon command or within the .csv file:

If you want to provide t.a and t.b values in your .csv file, they should always be in columns 8 and 9 (and similarly, cc should be in column 5, delta.R in column 6 and delta.STD in column 7). Just provide 0s for delta.R and delta.STD if they don’t need to be adapted.

Bacon(suggest=FALSE)
Bacon(accept.suggestions=TRUE)

allcores <- list.files("Bacon_runs")
for(i in allcores)
  try(Bacon(i, accept.suggestions=TRUE))