| rwl.report | R Documentation |
This function generates a small report on a rwl object
that gives the user some basic information on the data including the number of
series, the span of the data, the mean interseries correlation, the number of
missing rings (zeros), internal NA values, and rings that are very small,
or very large.
rwl.report(rwl,small.thresh=NA,big.thresh=NA)
rwl |
an |
small.thresh |
a |
big.thresh |
a |
This generates information about a rwl object including the number of series, the mean length of all the series, the first year, last year, the mean first-order autocorrelation (via summary.rwl), the mean interseries correlation (via interseries.cor), the years where a series has a missing ring (zero), internal NA, very small ring, very large rings, etc.
This output of this function is not typically meant for the user to access but has a print method for the user.
When the object still carries the record read.tucson attaches
to what it returns, the printed report opens with a short header naming the
file, the site and species from the ITRDB header, the precision the
file declares, and the span the header claims, which is worth seeing beside
the span the measurements actually cover. It also notes when the reader
renamed a series, so the ids in the report are not the file's, and when
interior gaps were filled. An object with no such record – one built by
hand, read by read.tucson.legacy, or subsetted by column –
is reported exactly as before. Use rwl.check to have any of
this reported as findings rather than as context.
A list with elements containing descriptive information on the rwl object. Specifically:
small.thresh |
a |
big.thresh |
a |
nSeries |
a |
n |
a |
meanSegLength |
a |
firstYear |
a |
lastYear |
a |
meanAR1 |
a |
sdAR1 |
a |
unconnected |
a |
unconnectedYrs |
a |
nZeros |
a |
zeros |
a |
allZeroYears |
a |
consecutiveZeros |
a |
meanInterSeriesCor |
a |
sdInterSeriesCor |
a |
internalNAs |
a |
provenance |
a |
smallRings |
a |
bigRings |
a |
Andy Bunn. Patched and improved by Mikko Korpela.
read.rwl, summary.rwl,
interseries.cor
data("gp.rwl")
rwl.report(rwl = gp.rwl)
# list very small (smallest 1pct) of rings as well
one.pct <- quantile(gp.rwl[gp.rwl != 0], na.rm=TRUE, probs=0.01)
rwl.report(rwl = gp.rwl, small.thresh = one.pct)
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