scrub_unmarked_dataframe: hidden function used to clean-up an unmarked data.frame...
In PLJV/OpenIMBCR: OpenIMBCR
Description
hidden function used to clean-up an unmarked data.frame (umdf) by dropping
any NA columns attributed by scrub_imbcr_df(), mean-center (scale) our site
covariates (but not sampling effort!), and do some optional quantile filtering
that drops covariates with low variance, which is a useful 'significance
pruning' precursor for principal components analysis. Prefer dropping the NA
bin here (rather than in scrub_imbcr_df), so that we still have an accurate
account of total sampling effort to attribute in scrub_unmarked_dataframe().
Usage
1
2
scrub_unmarked_dataframe(x = NULL, normalize = T,
prune_cutoff = NULL)
PLJV/OpenIMBCR documentation built on June 3, 2019, 7:01 a.m.
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Description
hidden function used to clean-up an unmarked data.frame (umdf) by dropping any NA columns attributed by scrub_imbcr_df(), mean-center (scale) our site covariates (but not sampling effort!), and do some optional quantile filtering that drops covariates with low variance, which is a useful 'significance pruning' precursor for principal components analysis. Prefer dropping the NA bin here (rather than in scrub_imbcr_df), so that we still have an accurate account of total sampling effort to attribute in scrub_unmarked_dataframe().
Usage
1 2 | scrub_unmarked_dataframe(x = NULL, normalize = T,
prune_cutoff = NULL)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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