Utils: Utility functions: Some useful miscellaneous functions: plot...

Description Usage Arguments Author(s)

Description

Utility functions: Some useful miscellaneous functions: plot plot.MECTree plot the tree part of MECTree object; heat.tree plot a sort of heat map decision trees

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
reOnly(f)

LongiLagSplit(dat, id, rhs.vars, resp.vars, order.vars = "time",
  lag = 1)

LongiLagSplit.boot(dat, id, rhs.vars, resp.vars, order.vars = "time",
  lag = 1)

LongiLagSplit.visit(dat, id, rhs.vars, resp.vars, order.vars = "time",
  visit = 1)

LongiLagSplit.visit.boot(dat, id, rhs.vars, resp.vars,
  order.vars = "time", visit = 1, parallel = TRUE)

Performance.measures(pred, obs, threshold = NULL, prevalence = NULL)

opt.thresh(pred, obs)

sparseFactor(dummy, thresh = 0.00016)

VimPlot(x, top = min(20, length(x$importance)), ...)

varImpPlot.RF(x, sort = TRUE, n.var = min(30, nrow(x$importance)),
  type = NULL, class = NULL, scale = TRUE, main = "", xlab = "",
  ...)

createBootSamples(y, times = 10, replace = TRUE, prob = NULL)

multiClassSummary(data, class.names = NULL, eps = 1e-15)

normalize(x)

denormalize(normalized, min, max)

getResults.ci(tab, alpha = 0.05)

F.measure.single(pred, labels)

Arguments

dat

data.frame

id

group id

resp.vars, rhs.vars

response and vector of predictor names

order.vars

variables to order longitudinal data

lag

lag in train test split

pred, obs

predicted probabilities and true class

threshold

threshold

...

Further arguments passed to or from other methods.

y, f, nl.n

numeric or character vector depending on usage

cut.off, propo

cut-off and proportions

no.last

number of tail observations that goes into test set

allow.new.levels

logical

formula

formula

Author(s)

Che Ngufor Ngufor.Che@mayo.edu


nguforche/Vira documentation built on June 2, 2019, 9:08 p.m.