Table 3 Computational times for coda_glmnet() function from R package coda4microbiome and functions selbal() and selbal.cv() from R package selbal
From: coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies
Dataset | Number of taxa | Total sample size (N1; N2) | coda4microbime coda_glmnet() | selbal() | selbal.cv() |
|---|---|---|---|---|---|
cdi_schubert | 75 | 237 [84;153] | 0.057 | 0.291 | 7.591 |
ob_goodrich | 117 | 613 [428;185] | 0.112 | 0.752 | 18.841 |
hiv_noguerajulian | 140 | 170 [28;142] | 0.071 | 0.543 | 14.962 |
Ji_WTP_DS | 155 | 59 [30;29] | 0.088 | 0.334 | 9.427 |
Office | 242 | 625 [341;284] | 0.569 | 2.742 | 119.696 |
ArcticFreshwaters | 274 | 1023 [540;483] | 0.781 | 8.156 | 145.931 |
Blueberry | 418 | 63 [24;39] | 0.942 | 2.155 | 68.607 |
sw_sed_detender | 1025 | 78 [60;18] | 27.841 | 13.76 | 463.544 |