Hi everyone.
I like to run a longitudinal analysis but cannot seem to make it work. My journey onto the plugin is start with the Pairwise difference comparisons.
I want to know how different are my sample throughout their age (weeks, mice).
What modification should I make to my metadata file? Also, in near future, I want to do all the available q2-longitudinal method and wish to have thus robust metadata file for every analysis.
This is my failed sample code.
qiime longitudinal pairwise-differences \
--m-metadata-file metadata.tsv \
--m-metadata-file core-metrics-results/shannon_vector.qza \
--p-metric shannon_entropy \
--p-group-column genotype \
--p-state-column age \
--p-state-1 8 \
--p-state-2 15 \
--p-individual-id-column batch \
--p-replicate-handling random \
--o-visualization pairwise-differences.qzv
My bits of metadata
SampleID | subject | group | genotype | age | batch | subjectwhen |
---|---|---|---|---|---|---|
#q2:types | categorical | categorical | categorical | categorical | categorical | categorical |
W01E08 | W01 | Wt08 | Wildtype | 8 | 1 | W01Age8 |
W02E08 | W02 | Wt08 | Wildtype | 8 | 1 | W02Age8 |
W03E08 | W03 | Wt08 | Wildtype | 8 | 1 | W03Age8 |
W04E15 | W04 | Wt15 | Wildtype | 15 | 1 | W04Age15 |
W05E15 | W05 | Wt15 | Wildtype | 15 | 1 | W05Age15 |
W06E15 | W06 | Wt15 | Wildtype | 15 | 1 | W06Age15 |
W01E16 | W01 | Wt16 | Wildtype | 16 | 2 | W01Age16 |
W02E16 | W02 | Wt16 | Wildtype | 16 | 2 | W02Age16 |
W03E16 | W03 | Wt16 | Wildtype | 16 | 2 | W03Age16 |
W04E23 | W04 | Wt23 | Wildtype | 23 | 2 | W04Age23 |
W05E23 | W05 | Wt23 | Wildtype | 23 | 2 | W05Age23 |
W06E23 | W06 | Wt23 | Wildtype | 23 | 2 | W06Age23 |
T01E08 | T01 | Tg08 | Transgenic | 8 | 4 | T01Age8 |
T02E08 | T02 | Tg08 | Transgenic | 8 | 4 | T02Age8 |
T03E08 | T03 | Tg08 | Transgenic | 8 | 4 | T03Age8 |
T04E15 | T04 | Tg15 | Transgenic | 15 | 1 | T04Age15 |
T05E15 | T05 | Tg15 | Transgenic | 15 | 1 | T05Age15 |
T06E15 | T06 | Tg15 | Transgenic | 15 | 1 | T06Age15 |
T01E16 | T01 | Tg16 | Transgenic | 16 | 2 | T01Age16 |
T02E16 | T02 | Tg16 | Transgenic | 16 | 2 | T02Age16 |
T03E16 | T03 | Tg16 | Transgenic | 16 | 2 | T03Age16 |
T04E23 | T04 | Tg23 | Transgenic | 23 | 2 | T04Age23 |
T05E23 | T05 | Tg23 | Transgenic | 23 | 2 | T05Age23 |
T06E23 | T06 | Tg23 | Transgenic | 23 | 2 | T06Age23 |
T07E70 | T07 | Tg70 | Transgenic | 70 | 2 | T07Age70 |
T08E70 | T08 | Tg70 | Transgenic | 70 | 2 | T08Age70 |
T09E70 | T09 | Tg70 | Transgenic | 70 | 2 | T09Age70 |
T10E70 | T10 | Tg70 | Transgenic | 70 | 2 | T10Age70 |
T11E70 | T11 | Tg70 | Transgenic | 70 | 2 | T11Age70 |
T12E70 | T12 | Tg70 | Transgenic | 70 | 2 | T12Age70 |
Thank you everyone