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Relative difference of results

Source: R/AllGenerics.R, R/resultsDiff-methods.R
resultsDiff.Rd

Relative difference of results

Usage

resultsDiff(x, y, ...)

# S4 method for class 'DESeqAnalysis,missingOrNULL'
resultsDiff(x, y = NULL, i, j, ...)

# S4 method for class 'DESeqResults,DESeqResults'
resultsDiff(
  x,
  y,
  col = c("log2FoldChange", "stat"),
  deg = c("no", "intersect", "union"),
  direction = c("both", "up", "down"),
  alphaThreshold = NULL,
  baseMeanThreshold = NULL,
  lfcThreshold = NULL
)

Arguments

x

Object.

y

Object.

i

Indices specifying elements to extract or replace. Indices are numeric or character vectors, empty (missing), or NULL.

For more information:

help(topic = "Extract", package = "base")

j

Indices specifying elements to extract or replace. Indices are numeric or character vectors, empty (missing), or NULL.

For more information:

help(topic = "Extract", package = "base")

...

Additional arguments.

col

character(1). Column to use for difference calculation (subtraction). Note that x/i represents A and y/j B in A - B calculation.

deg

character(1).

  • "no": Return all genes, corresponding to original row names order.

  • "intersect": Return only genes called as DE in both contrasts.

  • "union": Return genes called as DE in either contrast.

direction

character(1). Include "both", "up", or "down" directions.

alphaThreshold

numeric(1) or NULL. Adjusted P value ("alpha") cutoff. If left NULL, will use the cutoff defined in the object.

baseMeanThreshold

numeric(1) or NULL. Base mean (i.e. average expression across all samples) threshold. If left NULL, will use the cutoff defined in the object. Applies in general to DESeq2 RNA-seq differential expression output.

lfcThreshold

numeric(1) or NULL. Log (base 2) fold change ratio cutoff threshold. If left NULL, will use the cutoff defined in the object.

Value

Named numeric. Names correspond to the features (i.e. genes) analyzed.

Functions

  • resultsDiff(x = DESeqAnalysis, y = missingOrNULL): Passes arguments to DESeqResults method.

Note

Updated 2020-08-05.

Examples

data(deseq)

## DESeqAnalysis ====
diff <- resultsDiff(deseq, i = 1L, j = 2L)
#> → Calculating relative difference of `log2FoldChange`.
head(diff)
#>       gene1       gene2       gene3       gene4       gene5       gene6 
#> -0.22523355 -4.10567179 -0.35517938 -0.25288843  0.07558222  0.92974622