rm_sparse_cont

Remove the dependent variables that are below the threshold of
sparsity when the data type is count data in longdat_cont()

This tool takes longitudinal dataset as input and analyzes if there is significant
change of the features over time (a proxy for treatments), while detects and controls
for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input,
including count, proportion, binary, ordinal and continuous data. The output table contains
p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.

Chia-Yu Chen

LongDat

A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
'omics' Data

Sofia Forslund

rm_sparse_cont function

<dl><dt>values</dt>
<dd>Internal function argument.</dd>
<dt>data</dt>
<dd>Internal function argument.</dd>
<dt>nonzero_count_cutoff1</dt>
<dd>Internal function argument.</dd>
<dt>nonzero_count_cutoff2</dt>
<dd>Internal function argument.</dd>
<dt>theta_cutoff</dt>
<dd>Internal function argument.</dd>
<dt>Ps_null_model</dt>
<dd>Internal function argument.</dd>
<dt>prevalence</dt>
<dd>Internal function argument.</dd>
<dt>absolute_sparsity</dt>
<dd>Internal function argument.</dd>
<dt>mean_abundance</dt>
<dd>Internal function argument.</dd>
<dt>p_poho</dt>
<dd>Internal function argument.</dd>
<dt>assoc</dt>
<dd>Internal function argument.</dd></dl>

Arguments

Remove the dependent variables that are below the threshold of
sparsity when the data type is count data in longdat_cont() — rm_sparse_cont

<dl>

<dt>values</dt>
<dd>Internal function argument.</dd>


<dt>data</dt>
<dd>Internal function argument.</dd>


<dt>nonzero_count_cutoff1</dt>
<dd>Internal function argument.</dd>


<dt>nonzero_count_cutoff2</dt>
<dd>Internal function argument.</dd>


<dt>theta_cutoff</dt>
<dd>Internal function argument.</dd>


<dt>Ps_null_model</dt>
<dd>Internal function argument.</dd>


<dt>prevalence</dt>
<dd>Internal function argument.</dd>


<dt>absolute_sparsity</dt>
<dd>Internal function argument.</dd>


<dt>mean_abundance</dt>
<dd>Internal function argument.</dd>


<dt>p_poho</dt>
<dd>Internal function argument.</dd>


<dt>assoc</dt>
<dd>Internal function argument.</dd>

</dl>

rm_sparse_cont: Remove the dependent variables that are below the threshold of sparsity when the data type is count data in longdat_cont()

Description

Arguments