Previously, dplyr used a rather ad-hoc approach which tried to guess when a new subquery was needed. Try the code below:.
Differential expression was done by DESeq2. Asur 1,845 1 10 19. If you give distinct a list of variables, it now only keeps those variables instead of, as previously, keeping the first value from the other variables. In the short-term, this is likely to lead to some minor performance decreases as the generated SQL is more complex , but the dplyr is much more likely to generate correct SQL.
Please update your question by posting reproducible errors sample data , so that it anyone can easily respond.
Hi, liupfskygre, It's hard to know exactly what the issue is without a reproducible example, but perhaps the assignment of values to variable names, which are also base R functions, could be a problem. I am using goseq to correct for RNA-seq length bias. Similarly, all code related to the data table dplyr backend code has been separated out in to a new dtplyr package.
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