I have three data sets of abundances through time for plants, insects and
reptiles.
There are 6 samples over a ten year period (all taxa sampled at the same
time).
I recognise this is a small data set for time series.
I would like to correlate the time series to see if
a) increases in abundance of one taxon are correlated to another, and
b) to see if the correlation between plants:insects is greater than
plants:reptiles.
I thought to use the cross-correlation function in R
e.g. ccf(insects, reptiles)
Currently the data is in one dataframe with time as one column and
abundance of each taxa is the next three columns.
How do I convert the data to a time.series format as given in the R
example?
How can I compare the two ccf outputs?
Thanks
Tania
Tania Bird MSc
*"There is a sufficiency in the world for man's need but not for man's
greed" ~ Mahatma Gandhi*
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