summary.DiscreteFDR {DiscreteFDR} | R Documentation |
summary
method for class "DiscreteFDR
"
## S3 method for class 'DiscreteFDR'
summary(object, ...)
## S3 method for class 'summary.DiscreteFDR'
print(x, max = NULL, ...)
object |
an object of class " |
... |
further arguments passed to or from other methods. |
x |
an object of class " |
max |
numeric or |
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.
summary.DiscreteFDR
computes and returns a list that includes all the
data of an input DiscreteFDR
, plus
Table |
a |
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)