DiscreteFDR (version 1.3-4)

summary.DiscreteFDR: Summarizing Discrete FDR Results

Description

summary method for class "DiscreteFDR"

Usage

# S3 method for DiscreteFDR
summary(object, ...)
# S3 method for summary.DiscreteFDR
print(x, max = NULL, ...)

Arguments

object

an object of class "DiscreteFDR".

...

further arguments passed to or from other methods.

x

an object of class "summary.DiscreteFDR".

max

numeric or NULL, specifying the maximal number of rows of the p-value table to be printed. By default, when NULL, getOption("max.print") is used.

Value

summary.DiscreteFDR computes and returns a list that includes all the data of an input DiscreteFDR, plus

Table

a data.frame, sorted by the raw p-values, that contains the indices, that raw p-values themselves, their respective critical values (if present), their adjusted p-values (if present) and a logical column to indicate rejection.

Details

summary.DiscreteFDR objects include all data of an DiscreteFDR 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.DiscreteFDR simply prints the same output as print.DiscreteFDR, but also prints the p-value table.

Examples

# NOT RUN {
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 support
df.formatted <- fisher.pvalues.support(counts = df, input = "noassoc")
raw.pvalues <- df.formatted$raw
pCDFlist <- df.formatted$support

DBH.sd.crit <- DBH(raw.pvalues, pCDFlist, direction = "sd", ret.crit.consts = TRUE)
summary(DBH.sd.crit)

# }