summary.microNetComp | R Documentation |
The main results returned by netCompare
are
printed in a well-arranged format.
## S3 method for class 'microNetComp'
summary(
object,
groupNames = NULL,
showCentr = "all",
numbNodes = 10L,
showGlobal = TRUE,
showGlobalLCC = TRUE,
showJacc = TRUE,
showRand = TRUE,
showGCD = TRUE,
pAdjust = TRUE,
digits = 3L,
digitsPval = 6L,
...
)
## S3 method for class 'summary.microNetComp'
print(x, ...)
object |
object of class |
groupNames |
character vector with two elements giving the group names
for the two networks. If |
showCentr |
character vector indicating which centrality measures should be included in the summary. Possible values are "all", "degree", "betweenness", "closeness", "eigenvector" and "none". |
numbNodes |
integer indicating for how many nodes the centrality values shall be printed. Defaults to 10 meaning that the first 10 taxa with highest absolute group difference of the specific centrality measure are shown. |
showGlobal |
logical. If |
showGlobalLCC |
logical. If |
showJacc |
logical. If |
showRand |
logical. If |
showGCD |
logical. If |
pAdjust |
logical. The permutation p-values (if existent) are adjusted
if |
digits |
integer giving the number of decimal places to which the results are rounded. Defaults to 3L. |
digitsPval |
integer giving the number of decimal places to which the p-values are rounded. Defaults to 6L. |
... |
not used. |
x |
object of class |
netCompare
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