Phyloseq preview

                

Update & select variables



info-light Select, rename and convert variables in table above, then apply changes by clicking button below.

Long-format CSV with three columns: variable , modality , color .

  • variable — metadata variable name (factor file) or taxonomic rank name (taxa file). The special value __numeric__ marks a row that assigns a continuous palette to a numeric metadata variable.
  • modality — the modality of a categorical variable, the taxon name for a rank, or (when variable = __numeric__ ) the name of the numeric variable.
  • color — 7-character hex code #RRGGBB for categorical / taxa rows, or a package::palette string for __numeric__ rows (only viridis and ggthemes continuous palettes are accepted).

Example:

variable,modality,color
treatment,control,#1f77b4
treatment,case,#ff7f0e
Phylum,Firmicutes,#2ca02c
Phylum,Bacteroidetes,#d62728
__numeric__,age,viridis::viridis

Validation: rows with unknown variables, unknown modalities or invalid color codes are dropped silently and reported in the log below each file input. Missing modalities are auto-filled from a deterministic palette.

Round-trip: use Download CSV file buttons to obtain a template seeded with the current color assignments, then edit and re-upload.

Download CSV file

                          
Download CSV file

                          
Filtered object

                            
Normalized object

                            
Pipeline log

                            

About PERMANOVA

PERMANOVA (Permutational Multivariate Analysis of Variance) tests whether groups of samples differ in their multivariate composition. It partitions the variation of a dissimilarity matrix among explanatory factors and assesses significance via permutations. The formula below uses the factors selected for colors and shapes in the sidebar as explanatory variables, with sequencing depth included as a covariate.


Adonis formula:


                      

Adonis results:


Pairwise Adonis results:

Dispersion Analysis

Multivariate homogeneity of group dispersions (variances) computed with vegan::betadisper(). Boxplots show the distance of each sample to its group centroid; ANOVA and TukeyHSD test for differences in dispersion among groups.


Boxplots — Distance to centroid
ANOVA on dispersion
TukeyHSD on dispersion

Click on a feature below to generate the plot:

Click on a row in the Table tab to generate the boxplot for that taxon.