Network graph for objects of class netimpact
This function generates a graph of the evidence network.
## S3 method for class 'netimpact' netgraph( x, col.ignore = "red", number.of.studies = TRUE, main, sub, multiarm = any(x$x$narms > 2), col.multiarm = NULL, alpha.transparency = 0.5, col.ignore.multiarm = "transparent", col = "slateblue", ... )
x |
An object of class |
col.ignore |
A character string indicating color for
comparisons removed from network, either |
number.of.studies |
A logical indicating whether number of studies should be added to network graph. |
main |
Main title. |
sub |
Subtitle. |
multiarm |
A logical indicating whether multi-arm studies should be marked in plot. |
col.multiarm |
Either a function from R package colorspace or grDevice to define colors for multi-arm studies or a character vector with colors to highlight multi-arm studies. |
alpha.transparency |
The alpha transparency of colors used to highlight multi-arm studies (0 means transparent and 1 means opaque). |
col.ignore.multiarm |
A character string indicating color to
mark multi-arm studies removed from network, either
|
col |
A single color (or vector of colors) for lines
connecting treatments (edges) if argument |
... |
Additional arguments passed on to
|
Guido Schwarzer sc@imbi.uni-freiburg.de, Gerta Rücker ruecker@imbi.uni-freiburg.de
data(parkinson)
# Only consider first four studies (to reduce runtime of example)
#
p1 <- pairwise(list(Treatment1, Treatment2, Treatment3),
n = list(n1, n2, n3),
mean = list(y1, y2, y3),
sd = list(sd1, sd2, sd3),
data = subset(parkinson, Study < 5),
studlab = Study)
net1 <- netmeta(p1)
ni <- netimpact(net1, verbose = TRUE)
netgraph(ni, plastic = FALSE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.