pcnetmeta (version 2.0)

nma.networkplot: Network Plot of Treatment Comparisons

Description

nma.networkplot plots a visual network presenting comparisons of treatments in various studies.

Usage

nma.networkplot(s.id, t.id, title = "", trtname, alphabetic = TRUE,
                weight = TRUE, adjust.thick = 5, node.size = 3,
                node.col = "blue", edge.col = "black", text.cex = 1,
                adjust.figsizex = 1.1, adjust.figsizey = 1.1)

Arguments

s.id

a numeric or character vector indicating study ID.

t.id

a numeric or character vector indicating treatment ID.

title

a character string indicating plot title.

trtname

a vector of character string indicating the treatment names for the corresponding treatment IDs according their order in t.id. If not specified, t.id is used as treatment names.

alphabetic

a logical value indicating whether to sort the treatment alphabetically in the network plot. The default is TRUE.

weight

a logical value indicating whether to draw the edges proportionally to the number of comparisons between the two treatments. The default is TRUE.

adjust.thick

a positive integer indicating the maximum thickness of the edge when weight is TRUE. The default is 5.

node.size

a positive integer indicating the sizes of treatment nodes. The default is 3.

node.col

a character string indicating the color of treatment nodes. The default is "blue".

edge.col

a character string indicating the color of edges between treatments nodes. The default is "black".

text.cex

a positive integer indicating the sizes of treatment names written around the corresponding nodes. The default is 1.

adjust.figsizex

a positive number used to adjust the plot width. The default is 1.1.

adjust.figsizey

a positive number used to adjust the plot height. The default is 1.1.

Value

• A network plot is generated by this function. Each node in the plot represents a treatment, and the edges indicate the direct comparisons between the two treatments in various studies.

Examples

data(smoke)
nma.networkplot(s.id = smoke$sid, t.id = smoke$tid, weight = TRUE,
  title = "Smoke Cessation Data", adjust.figsizex = 1.1,
  trtname = c("NC", "SH", "IC", "GC"))
# NC: No contact; SH: Self-help
# IC: individual counselling; GC: group counselling

data(diabetes)
nma.networkplot(s.id = diabetes$sid, t.id = diabetes$tid, weight = TRUE,
  title = "Diabetes Data", trtname = c("Diuretic", "Placebo",
  "b-blocker", "CCB", "ACE inhibitor", "ARB"))