diff --git a/articles/alphadiv.html b/articles/alphadiv.html index c2a1e63..f6cc175 100644 --- a/articles/alphadiv.html +++ b/articles/alphadiv.html @@ -166,11 +166,11 @@
## top 8 taxa by median relative abundance across all samples
rankedAbund <- rankedAbundance(HMP_MGX_species, method = "median", cutoff = 8)
#>
-#> 2024-05-29 19:16:39.400432 Received df table with 741 samples and 731 taxa.
+#> 2024-05-29 19:46:03.121664 Received df table with 741 samples and 731 taxa.
#>
-#> 2024-05-29 19:16:39.422565 Finished ranking taxa
+#> 2024-05-29 19:46:03.144673 Finished ranking taxa
#>
-#> 2024-05-29 19:16:39.431385 Ranked abundance computation completed with parameters recordIdColumn= Metagenomic_sequencing_assay_Id , method = median , cutoff = 8 , naToZero = TRUE , verbose = TRUE
## top 20 taxa by third quartile relative abundance across all samples
rankedAbund <- rankedAbundance(HMP_MGX_species, method = "q3", cutoff = 20)
#>
-#> 2024-05-29 19:16:39.460068 Received df table with 741 samples and 731 taxa.
+#> 2024-05-29 19:46:03.182232 Received df table with 741 samples and 731 taxa.
#>
-#> 2024-05-29 19:16:39.569929 Finished ranking taxa
+#> 2024-05-29 19:46:03.300048 Finished ranking taxa
#>
-#> 2024-05-29 19:16:39.576298 Ranked abundance computation completed with parameters recordIdColumn= Metagenomic_sequencing_assay_Id , method = q3 , cutoff = 20 , naToZero = TRUE , verbose = TRUE
## top 10 taxa by greatest variance in relative abundance across all samples
rankedAbund <- rankedAbundance(HMP_MGX_species, method = "variance", cutoff = 10)
#>
-#> 2024-05-29 19:16:39.594134 Received df table with 741 samples and 731 taxa.
+#> 2024-05-29 19:46:03.324066 Received df table with 741 samples and 731 taxa.
#>
-#> 2024-05-29 19:16:39.626253 Finished ranking taxa
+#> 2024-05-29 19:46:03.361709 Finished ranking taxa
#>
-#> 2024-05-29 19:16:39.631461 Ranked abundance computation completed with parameters recordIdColumn= Metagenomic_sequencing_assay_Id , method = variance , cutoff = 10 , naToZero = TRUE , verbose = TRUE
## get a self correlation ComputeResult
## methods spearman and pearson are options here as well, for data known to not be compositional
selfCorrelation_metabolomics <- selfCorrelation(farmm_metabolomics, method='spearman')
#>
-#> 2024-05-29 19:16:54.821399 Completed correlation with method=spearman. Formatting results.
+#> 2024-05-29 19:46:18.657134 Completed correlation with method=spearman. Formatting results.
#>
-#> 2024-05-29 19:16:54.943483 Received df table with 150 samples and 479 features with abundances.
+#> 2024-05-29 19:46:18.784305 Received df table with 150 samples and 479 features with abundances.
#>
-#> 2024-05-29 19:16:54.947876 Correlation computation completed with parameters recordIdColumn= Mass_spectrometry_assay_Id , method = spearman
An R package containing all of the data from MicrobiomeDB.org, and tools for analyzing and visualizing the same.
+A suite of R packages containing all of the data from MicrobiomeDB.org, and tools for analyzing and visualizing the same.