View source: R/de_varpart.R View source: R/de_limma.R
make_limma_tables | R Documentation |
However, this will do a couple of things to make one's life easier: 1. Make a list of the output, one element for each comparison of the contrast matrix 2. Write out the toptable() output in separate .csv files and/or sheets in excel 3. Since I have been using qvalues a lot for other stuff, add a column for them.
However, this will do a couple of things to make one's life easier: 1. Make a list of the output, one element for each comparison of the contrast matrix 2. Write out the toptable() output in separate .csv files and/or sheets in excel 3. Since I have been using qvalues a lot for other stuff, add a column for them.
make_limma_tables(
fit = NULL,
adjust = "BH",
n = 0,
coef = NULL,
annot_df = NULL,
intercept = FALSE
)
make_limma_tables(
fit = NULL,
adjust = "BH",
n = 0,
coef = NULL,
annot_df = NULL,
intercept = FALSE
)
fit |
Result from lmFit()/eBayes() |
adjust |
Pvalue adjustment chosen. |
n |
Number of entries to report, 0 says do them all. |
coef |
Which coefficients/contrasts to report, NULL says do them all. |
annot_df |
Optional data frame including annotation information to include with the tables. |
intercept |
Intercept model? |
List of data frames comprising the toptable output for each coefficient, I also added a qvalue entry to these toptable() outputs.
List of data frames comprising the toptable output for each coefficient, I also added a qvalue entry to these toptable() outputs.
[limma] [write_xlsx()]
[limma] [write_xlsx()]
## Not run:
finished_comparison = eBayes(limma_output)
table = make_limma_tables(finished_comparison, adjust = "fdr")
## End(Not run)
## Not run:
finished_comparison = eBayes(limma_output)
table = make_limma_tables(finished_comparison, adjust = "fdr")
## End(Not run)
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