Visualize a regression result by a d3 network visualization.

Use either a force directed graph or a Sankey graph to show relationships between predictors and outcome variables. correlateMyOutcomes should correspond to the outcome variables ...

regressionNetworkViz(
  mylm,
  sigthresh = 0.05,
  whichviz = "Sankey",
  outfile = "temp.html",
  mygroup = 0,
  logvals = TRUE,
  verbose = FALSE,
  correlateMyOutcomes = NA,
  corthresh = 0.9,
  zoom = FALSE,
  doFDR = TRUE
)

Arguments

mylm

lm model output from bigLMStats
sigthresh

significance threshold
whichviz

which visualization method
outfile

significance threshold
mygroup

color each entry by group membership
logvals

bool
verbose

bool
correlateMyOutcomes

not sure, see code
corthresh

correlation threshold
zoom

zooming factor
doFDR

bool

Value

html file is output

Author

Avants BB

Examples


if (FALSE) {
colnames(brainpreds)<-paste('Vox',c(1:ncol(brainpreds)),sep='')
colnames( mylm$beta.pval )<-colnames(brainpreds)
demognames<-rownames(mylm$beta.pval)
myout = regressionNetworkViz( mylm , sigthresh=0.05, outfile='temp2.html')
}