I am attempting to do a One-way ANOVA on some biological array (not DNA microarray though) data. The part of the data table with numeric scoring is 384 (targets or "spots") x 88 (probes). The current arrangement of the table has the probes as columns and the targets as rows; there is one additional column called "spot" that has only the spot number of each row in it.
I have attached a screenshot of part of this table. When I connect it to One-way ANOVA and set it use the "spot" column for grouping (with it excluded from testing) and a confidence interval of 95%, I run it and the response in KNIME is
"Execute failed: degrees of freedom (-177)"
As seen in the image I have quite a few missing values. I tried to use the Missing Value transformation as well - replacing missing values with the number 0 - and the output of that when run through the same ANOVA node instead returns
"Execute failed: degrees of freedom (0)"
Can someone help me with this? I'm not sure what I'm doing wrong here. My goal is to remove the rows that have the least variance.
thank you