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df_test <-
structure(list(pc.col = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), .Label =
Hello,
One of my colleagues sent me a csv file with 12 columns and a lot of rows.
Column1 to Column10 are factors with 2 to 6 levels. Column11 and Column12 are
experimental results.I'm a bit lost with all these data.
I would like- to determine which factors have the most impact, and in which
way
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