as.data.frame-method {FLEDA} | R Documentation |
Implements the cor
method for class "FLQuant"
.
quant
is).FLQuant
between ages (or whatever quant
is).
The cor
method for one "FLQuant"
can be computed between the complete vector of observed values-at-quant or can be computed between the cohort adjusted vector. The choice is made by the argument use
. The first method (defined by use="all.obs"
) uses all observations of each two quant rows to compute cor
. The second (use="complete.obs"
, the default) uses only the observations of each two quant rows that have a matching cohort.
This kind of analysis is trying to give a measure of the data consistency along cohorts and if the observations that have no matching cohort are left in, the correlation coeficient is contaminated by them and is no longer a good indicator.
data(ple4) c1 <- cor(catch.n(ple4), use="complete.obs", method="spearman") round(c1,2) c2 <- cor(catch.n(ple4), use="all.obs", method="spearman") round(c2,2) all.equal(c1,c2)