LongDat_cont_feature_table

<p>Example feature data frame for longdat_cont(). This is a dummy data
which contains features (dependent variables).</p>

datasets

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

LongDat_cont_feature_table function

<p>An object of class <code>data.frame</code> with 20 rows and 4 columns.</p>

LongDat_cont_feature_table: data/LongDat_cont_feature_table.RData documentation

Description

Usage

Arguments

Format

Examples