netmeta (version 3.6-0)

netdistance.default: Calculate distance matrix for an adjacency matrix

Description

Calculate distance matrix for an adjacency matrix based on distance algorithm by Müller et al. (1987).

Usage

# S3 method for default
netdistance(x, ...)
# S3 method for netmeta
netdistance(x, sort = gs("sort.distance"), ...)
# S3 method for netcomb
netdistance(x, sort = gs("sort.distance"), ...)
# S3 method for netconnection
netdistance(x, ...)
# S3 method for netdistance
print(x, lab.Inf = ".", ...)
netdistance(x, ...)

Arguments

x

Either a netmeta or netcomb object or an adjacency matrix.

...

Additional arguments.

sort

A logical indicating whether to sort within (sub)networks by treatment names.

lab.Inf

A character string to label infinite values.

Author

Gerta Rücker Guido Schwarzer

References

Müller WR, Szymanski K, Knop JV, and Trinajstic N (1987): An algorithm for construction of the molecular distance matrix. Journal of Computational Chemistry, 8, 170--73

See Also

netmeta, netconnection

Examples

data(smokingcessation)

pw1 <- pairwise(list(treat1, treat2, treat3),
  event = list(event1, event2, event3), n = list(n1, n2, n3),
  data = smokingcessation, sm = "OR")
nma1 <- netmeta(pw1, common = FALSE)

netdistance(nma1)

# \donttest{
pw2 <- pairwise(studlab = study, treat = treatment,
  n = n, mean = mean, sd = sd, data = Senn2013,
  varnames = c("MD", "seMD"))
nma2 <- netmeta(pw2)

netdistance(nma2)
netdistance(nma2$A.matrix)
# }