history | R Documentation |
A history is a data.frame
whose rows correspond to
EvidenceSet
objects and whose columns correspond
to the states of a Pnode
. Each row is a
probability distribution, and they show the changes to the
probabilities over time.
The function history
returns the
history for a single node in a given
StudentRecord
. The function histNames
returns the names of the nodes for which the record has history
information.
history(sr, name)
histNames(sr)
sr |
A |
name |
The name of the node whose history is requested. |
When the student record is first initialized, the function
baselineHist
is called to setup “*BASELINE*”
values for each of the history nodes identified by the
BNEngine
. These are data.frame
objects
giving the prior marginal distributions for each of the identified
variables.
After the student model is updated in response to evidence (see
handleEvidence
, the updateHist
function is
called to add a new row to each of the data frames.
The histNames
function returns the names of the history nodes
being tracked by a student model. The history
function returns
the history for a node.
The function histNames
returns a list of node names. These are
suitable for the name
argument of the history
function.
The function history
returns a data frame with rows
corresponding to evidence sets and columns corresponding to states of
the variables. Each row is a marginal probability distribution.
These are designed to work with the functions
woeHist
and woeBal
in
the CPTtools-package
.
Russell Almond
StudentRecord
for student records.
baselineHist
and updateHist
for history
construction.
BNEngine
for specifying the history nodes.
woeHist
and woeBal
for
applications.
library(PNetica)
##Start with manifest
sess <- RNetica::NeticaSession()
RNetica::startSession(sess)
## BNWarehouse is the PNetica Net Warehouse.
## This provides an example network manifest.
config.dir <- file.path(library(help="Peanut")$path, "auxdata")
netman1 <- read.csv(file.path(config.dir,"Mini-PP-Nets.csv"),
row.names=1, stringsAsFactors=FALSE)
net.dir <- file.path(library(help="PNetica")$path, "testnets")
Nethouse <- PNetica::BNWarehouse(manifest=netman1,session=sess,key="Name",
address=net.dir)
dsr <- StudentRecord("*DEFAULT*",app="ecd://epls.coe.fsu.edu/P4Test",
context="*Baseline*")
sm(dsr) <- WarehouseSupply(Nethouse,"miniPP_CM")
PnetCompile(sm(dsr))
## dsr <- updateStats(eng,dsr)
statmat <- read.csv(file.path(config.dir,"Mini-PP-Statistics.csv"),
stringsAsFactors=FALSE)
rownames(statmat) <- statmat$Name
statlist <- sapply(statmat$Name,function (st)
Statistic(statmat[st,"Fun"],statmat[st,"Node"],st))
names(statlist) <- statmat$Name
dsr@stats <- lapply(statlist,
function (stat) calcStat(stat,sm(dsr)))
names(dsr@stats) <- names(statlist)
stat(dsr,"Physics_EAP")
stat(dsr,"Physics_Margin")
## dsr <- baselineHist(eng,dsr)
dsr@hist <- lapply(c("Physics"),
function (nd)
EABN:::uphist(sm(dsr),nd,NULL,"*Baseline*"))
names(dsr@hist) <- "Physics"
stopifnot(histNames(dsr)=="Physics")
history(dsr,"Physics")
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