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.