summary.DiscreteFWER {DiscreteFWER} | R Documentation |
Summarizing Discrete FWER Results
Description
summary
method for class DiscreteFWER
.
Usage
## S3 method for class 'DiscreteFWER'
summary(object, ...)
## S3 method for class 'summary.DiscreteFWER'
print(x, max = NULL, ...)
Arguments
object |
an object of class |
... |
further arguments passed to or from other methods. |
x |
an object of class |
max |
numeric or |
Details
summary.DiscreteFWER
objects contain all data of an DiscreteFWER
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.DiscreteFWER
simply prints the same output as
print.DiscreteFWER
, but also prints the p-value table.
Value
summary.DiscreteFWER
computes and returns a list that includes all the
data of an input DiscreteFWER
object, plus
Table |
|
Examples
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
# Computation of 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()
# d-Holm procedure without critical values; using test results object
DFWER_dep_sd_fast <- discrete_FWER(test_results)
summary(DFWER_dep_sd_fast)
# d-Bonferroni procedure with critical values; using test results object
DFWER_dep_crit <- discrete_FWER(test_results, single_step = TRUE,
critical_values = TRUE)
summary(DFWER_dep_crit)