summary.FDX | R Documentation |
summary
method for class FDX
## S3 method for class 'FDX'
summary(object, ...)
## S3 method for class 'summary.FDX'
print(x, max = NULL, ...)
object |
object of class " |
... |
further arguments passed to or from other methods. |
x |
object of class " |
max |
numeric or |
summary.FDX
objects include all data of an FDX
class
object, but also include an additional table which includes the raw p-values,
their indices, the respective critical values (if present), the adjusted
p-values (if present) and a logical column to indicate rejection. The table
is sorted in ascending order by the raw p-values.
print.summary.FDX
simply prints the same output as
print.FDX
, but also prints the p-value table.
summary.FDX
computes and returns a list that includes all the
data of an input FDX
, plus
Table |
a |
print.summary.FDX
returns that object invisibly.
X1 <- c(4, 2, 2, 14, 6, 9, 4, 0, 1)
X2 <- c(0, 0, 1, 3, 2, 1, 2, 2, 2)
N1 <- rep(148, 9)
N2 <- rep(132, 9)
Y1 <- N1 - X1
Y2 <- N2 - X2
df <- data.frame(X1, Y1, X2, Y2)
df
# Construction of the p-values and their supports with Fisher's exact test
library(DiscreteTests) # for Fisher's exact test
test.results <- fisher_test_pv(df)
raw.pvalues <- test.results$get_pvalues()
pCDFlist <- test.results$get_pvalue_supports()
# DGR with critical values; using test results object
DGR.crit <- DGR(test.results, critical.values = TRUE)
# create summary
DGR.crit.summary <- summary(DGR.crit)
# print summary
print(DGR.crit.summary)
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