Since dynEGA computes the derivatives of the time series, all values (even categorical) will be continuous.
It is possible for there to be 7 or fewer continuous values resulting in "auto" and "cor_auto" to default to categorical correlations (polychoric/tetrachoric/polyserial/biserial). For "auto", a range error will be thrown in polychoric.matrix if derivative values are less than 0
A workaround for now is to use corr = "pearson" or corr = "spearman"
Once fixed, only "pearson" and "spearman" will be available by default
Since
dynEGA
computes the derivatives of the time series, all values (even categorical) will be continuous.It is possible for there to be 7 or fewer continuous values resulting in
"auto"
and"cor_auto"
to default to categorical correlations (polychoric/tetrachoric/polyserial/biserial). For"auto"
, a range error will be thrown inpolychoric.matrix
if derivative values are less than 0A workaround for now is to use
corr = "pearson"
orcorr = "spearman"
Once fixed, only
"pearson"
and"spearman"
will be available by default