Create a matrix with additional information for pairwise comparisons
Auxiliary function to create a matrix with additional information for pairwise comparisons
netmatrix( x, var, levels, labels = levels, func = "mode", ties.method = "random" )
x |
A |
var |
Variable with additional information. |
levels |
An optional vector of the values that |
labels |
An optional vector with labels for |
func |
A character string with the function name to summarize values within pairwise comparisons; see Details. |
ties.method |
A character string describing how ties are
handled if |
For each pairwise comparison, unique values will be calculated for
the variable var based on the argument func: "mode"
(most common value), "min" (minimum value), "max", "mean",
"median", and "sum". In order to determine the most common value,
the argument ties.method can be used in the case of ties
with "first" meaning that the first / smallest value will be
selected; similar for "last" (last / largest value) and "random"
(random selection).
A matrix with the same row and column names as the adjacency matrix
x$A.matrix.
Guido Schwarzer sc@imbi.uni-freiburg.de
data(smokingcessation)
# Add variable with (fictious) risk of bias values
# with 1 = "low risk" and 2 = "high risk"
#
smokingcessation$rob <- rep(1:2, 12)
p1 <- pairwise(list(treat1, treat2, treat3),
event = list(event1, event2, event3),
n = list(n1, n2, n3),
data = smokingcessation,
sm = "OR")
net1 <- netmeta(p1, comb.fixed = FALSE, ref = "A")
# Generate network graph with information on risk of bias
#
col.rob <- netmatrix(net1, rob, ties.method = "last",
levels = 1:2,
labels = c("green", "yellow"))
#
netgraph(net1, col = col.rob,
plastic = FALSE, thickness = "number.of.studies", multi = FALSE)
n.trts <- net1$n.trts
labs <- paste(net1$trts, " (n=", n.trts, ")", sep = "")
#
netgraph(net1, col = col.rob,
plastic = FALSE, thickness = "number.of.studies", multi = FALSE,
points = TRUE, col.points = "blue",
cex.points = 6 * sqrt(n.trts / max(n.trts)),
labels = labs)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.