Table 2 tRigon runtime based on data frame size and computational setting
From: tRigon: an R package and Shiny App for integrative (path-)omics data analysis
Task | Setting A | Setting B |
|---|---|---|
Processing data | ||
Small | – | – |
Medium | 39,280 ms | 20,190 ms |
Large | 283,870 ms | 114,790 ms |
Loading data | ||
Small | 1520 ms | 1290 ms |
Medium | 5370 ms | 4460 ms |
Large | 47,550 ms | 29,740 ms |
Summary statistics (1 feature) | ||
Small | 650 ms | 230 ms |
Medium | 1320 ms | 1200 ms |
Large | 13,590 ms | 4020 ms |
Distribution plots (1 feature, violin plot, no log-scale) | ||
Small | 2410 ms | 1290 ms |
Medium | 1980 ms | 1220 ms |
Large | 5780 ms | 3280 ms |
Statistical tests (1 feature, pairwise-Wilcoxon test) | ||
Small | 170 ms | 70 ms |
Medium | 290 ms | 80 ms |
Large | 1180 ms | 570 ms |
k-means clustering (6 features, 4 cluster, no groups) | ||
Small | 1450 ms | 840 ms |
Medium | 2970 ms | 730 ms |
Large | 5590 ms | 1930 ms |
Feature importance (classification, 6 features, random forest) | ||
Small | 2000 ms | 1040 ms |
Medium | 6090 ms | 2990 ms |
Large | 43,980 ms | 22,870 ms |
Correlation matrix (multiple corr., 6 features, no subgroups) | ||
Small | 1220 ms | 510 ms |
Medium | 1460 ms | 460 ms |
Large | 1570 ms | 710 ms |