Index

A  C  D  E  F  G  H  I  K  L  M  N  O  P  Q  R  S  T  U  V  W 

A

accessor functions, 3.1.9
aggregate function, 1.4.1, 1.4.1, 3.1.5
aggregating data, 3.1.5
aggregation functions, 3.1.9
apriori algorithm, 4.2.2
arima function, 3.1.9
as.Date function, 3.1.9
as.difftime function, 3.1.9, 3.1.9
as.integer function, 3.1.9
as.ore class, 3.1.9
as.ore function, 1.4.2.4
as.ore.character function, 1.4.2.4, 3.1.9
as.ore.date function, 3.1.9
association models, 4.2.2
attaching a schema, 2.2.1.4
attribute importance models, 4.2.3

C

class inheritance, 1.4.1
coercing class types, 1.4.2.4
columns
deriving, 3.1.6
partitioning on, 6.5.5.2
combining data, 3.1.4
Comprehensive R Archive Network
See CRAN packages
connecting an R session, 2.1
connection types, 2.1.1.1
connections, specifying, 2.1.1.1
CRAN packages, 1.2, 3.1.1, 3.3, 6.3, 6.4
creating a table, 2.2.4
creating proxy objects, 2.2.1.1

D

data
distribution analysis of, 3.2.10
exploring, 3.2
indexing, 3.1.3
joining, 3.1.4
partitioning, 3.1.8
preparing, 1.2, 3.1.1
ranking, 3.2.7
sampling, 3.1.7
scoring, 1.2
selecting, 3.1.2
sorting, 3.2.8
summarizing, 3.1.5, 3.2.9
transforming, 3.1.6
data types
coercing to another type, 3.1.9
datastores
about, 2.2.5.2
deleting, 2.2.5.6
getting information about, 2.2.5.4
in embedded R execution, 2.2.5.7, 6.6.4
restoring objects from, 2.2.5.5
saving objects in, 2.2.5, 2.2.5.3
date and time objects, 3.1.9
Decision Tree algorithm, 4.2.4
decision tree models, 4.2.4
demo function, 1.7.2
demos, 1.7
detaching a schema, 2.2.1.4
diff function, 3.1.9, 3.1.9
do.call function, 3.1.7, 3.1.7
dropping a table, 2.2.4

E

easy connect string, specifying, 2.1.2, 2.1.2
embedded R execution, 1.2
about, 6.1
APIs for, 6.1.2
parallel execution, 6.3, 6.5.1.5
R interface for, 6.5
security, 6.2, 6.6.1
SQL interface for, 6.6
example scripts, 1.7
exploratory data analysis
data set for examples, 3.2.2
exponential smoothing models, 3.2.6

F

filtering data, 2.2.3
forecast package, 3.2.6
formatting data, 3.1.6

G

generalized linear models, 4.1.4, 4.2.5
glm function, 4.1.4
global options, 1.6, 2.2.2.2
ore.na.extract, 1.6
ore.parallel, 1.6
ore.sep, 1.6
ore.trace, 1.6
ore.warn.order, 1.6

H

Hadoop cluster, 2.1.1.1
HIVE connection type, 2.1.1.1

I

indexing data, 3.1.3
install.packages function, 3.3
IRLS algorithm, 4.1.4
is.null function, 2.2.2.1
is.ore.connected function, 2.1.1.1

K

keys
ordering with, 2.2.2.3
k-Means models, 4.2.6
kyphosis data set, 4.1.4

L

lapply function, 3.1.7
least squares regression, 4.1.3
library function, 3.3
linear regression model, 4.1.3
load function, 2.2.5.1
local host, specifying, 2.1.2
longley data set, 4.1.2

M

map/reduce operations, 4.1.4
max function, 3.1.9
min function, 3.1.9
Minimum Description Length algorithm, 4.2.3
models, 4.1.5
association, 4.2.2
attribute importance, 4.2.3
decision tree, 4.2.4
generalized linear, 4.1.4, 4.2.5
k-Means, 4.2.6
linear regression, 4.1.3
Naive Bayes, 4.2.7
Non-Negative Matrix Factorization, 4.2.8
Oracle Data Mining, 4.2
Orthogonal Partitioning Cluster, 4.2.9
parametric, 4.2.5
predictive, 5
Support Vector Machine, 4.2.10

N

Naive Bayes models, 4.2.7
naming conventions, 1.4.2.3
NARROW data set, 3.2.2
neural network models, 4, 4.1.5
NMF models, 4.2.8

O

O-Cluster models, 4.2.9
open source R packages, 3.3, 6.3
Oracle Advanced Analytics, 1.1
ORACLE connection type, 2.1.1.1
Oracle Data Mining models, 4, 4.2
Oracle R Advanced Analytics for Hadoop, 2.1.1.1
Oracle Wallet, 2.1.1.1
ordering ore.frame objects, 1.4.2.2, 2.2.2
ore.attach function, 2.2.1.1, 2.2.1.4
OREbase package, 1.3, 1.4.1
ore.character objects, 3.1.9
ore.connect function, 2.1.1.1, 2.1.1.1
ore.corr function, 3.2.1, 3.2.3
ore.create function, 2.2.4
ore.crosstab function, 3.2.1, 3.2.4
ore.datastore function, 2.2.5.1, 2.2.5.4
ore.datastoreSummary function, 2.2.5.1, 2.2.5.4
ore.date objects, 3.1.9
ore.datetime objects, 3.1.9
ore.delete function, 2.2.5.1, 2.2.5.6
ore.detach function, 2.2.1.4
ore.disconnect function, 2.1.1.1, 2.1.1.2
OREdm package, 2.2.5.1, 4.2
ore.doEval function, 6.5.3
ore.drop function, 2.2.4
OREeda package, 3.2.1, 3.2.1
ore.esm function, 3.2.1, 3.2.6
ore.exists function, 2.2.1.1
ore.frame objects
about, 1.4.2.2
as proxy for a table, 2.2.1.1
column naming conventions, 1.4.2.3
ordering, 1.4.2.2
subclass of data.frame, 1.4.1
ore.freq function, 3.2.1, 3.2.5
ore.get function, 2.2.1.3
ore.glm function, 4.1.1, 4.1.4
OREgraphics package, 1.4.1
ore.groupApply function, 3.1.8, 6.5.5
ore.hour function, 3.1.9
ore.indexApply function, 6.5.7
ore.integer objects, 3.1.9
ore.lazyLoad function, 2.2.5.1
ore.list class, 2.2.3
ore.lm function, 4.1.1, 4.1.3
ore.load function, 2.2.5.1, 2.2.5.5
ore.logical class, 3.1.9
ore.ls function, 2.2.1.1
ore.mday function, 3.1.9
ore.minute function, 3.1.9
OREmodels package, 4.1
ore.month function, 3.1.9
ore.na.extract global option, 1.6
ore.neural function, 4.1.1, 4.1.5
ore.odmAI function, 4.2.3
ore.odmAssocRules function, 4.2.2
ore.odmDT function, 4.2.4
ore.odmGLM function, 4.2.5
ore.odmKM function, 4.2.6
ore.odmNB function, 4.2.7
ore.odmNMF function, 4.2.8
ore.odmOC function, 4.2.9
ore.odmSVM function, 4.2.10
ore.parallel global option, 1.6
ore.predict function, 5
OREpredict package, 5
ore.pull function, 1.4.2.4, 2.2.3, 3.1.9
ore.push function, 1.4.2.4, 2.2.3, 4.1.3
ore.rank function, 3.2.1, 3.2.7
ore.rm function, 2.2.1.1, 2.2.1.1
ore.rollmean function, 3.1.9
ore.rollsd function, 3.1.9
ore.rowApply function, 6.5.6
ore.save function, 2.2.5.1, 2.2.5.1, 2.2.5.2, 2.2.5.3
ore.scriptCreate function, 6.5.8
ore.scriptDrop function, 6.5.8
ore.second function, 3.1.9
ore.sep global option, 1.6, 2.2.2.2
ore.sort function, 3.2.1, 3.2.8
OREstats package, 1.4.1
ore.stepwise function, 4.1.1, 4.1.3
ore.summary function, 3.2.1, 3.2.9
ore.sync function, 2.2.1.1, 2.2.1.1, 2.2.1.2, 2.2.1.4
ore.tableApply function, 6.5.4
ore.trace global option, 1.6
ore.univariate function, 3.2.1, 3.2.10
ore.warn.order global option, 1.6, 2.2.2.2
ore.year function, 3.1.9

P

packages
forecast, 3.2.6
Oracle R Enterprise, 1.3
ORE, 1.7.2
OREbase, 1.4.1
OREdm, 2.2.5.1, 4.2
OREeda, 3.2.1
OREgraphics, 1.4.1
OREmodels, 4.1
OREpredict, 5
OREstats, 1.4.1
rpart, 4.1.4
third-party, 3.3, 6.4
parallel execution, 6.3, 6.5.1.5
parametric models, 4.2.5
persisting objects, 2.2.5.1
preparing data, 1.2
time series, 3.1.9
primary keys
ordering with, 2.2.2.3
proxy objects
for database tables, 2.2.1.1, 2.2.1.1

Q

quantile function, 3.1.9

R

R script repository, 6.6.1
range function, 3.1.9
rbind function, 3.1.7, 3.1.7
regression models, 4
removing proxy objects, 2.2.1.1
row names
ordering with, 2.2.2.4
rpart package, 4.1.4
RQADMIN role, 6.2
rqDataStoreContents function, 6.6.5
rqDataStoreList view, 6.6.5
rqDropDataStore function, 6.6.5
rqEval function, 6.6.2
rqGroupEval function, 6.6.2, 6.6.3
rqRowEval function, 6.6.2
rqTableEval function, 6.6.2

S

sample function, 3.1.7, 3.1.7, 3.1.7, 3.1.8
sample programs, 1.7
sampling
cluster, 3.1.7
in-database data, 3.1.7
quota, 3.1.7
stratified, 3.1.7
save function, 2.2.5.1
saving objects, 2.2.5
schema
attaching, 2.2.1.4
default, 2.2.1.4
detaching, 2.2.1.4
scoring data, 1.2
scripts
embedded R execution of, 6.1
example, 1.7
executing in database, 1.2
search path
adding an environment to, 2.2.1.4
removing a schema from, 2.2.1.4
security for embedded R execution scripts, 6.2, 6.6.1
seq function, 3.1.7, 3.1.9
service name, specifying, 2.1.2
sort function, 3.1.9
SQL functions for embedded R execution, 6.6.2
stepwise least squares regression, 4.1.3
summary function, 4.1.4
supported R operators and functions, A
SVM models, 4.2.10
synchronizing database tables, 2.2.1.1
sys.rqScriptCreate function, 6.6.1
sys.rqScriptDrop function, 6.6.1

T

tables
creating a database, 2.2.4
dropping a database, 2.2.4
making visible in R, 2.2.1.4
proxy objects for, 2.2.1.1
third-party packages, 3.3, 6.3, 6.4
transform function
examples of, 3.1.6
transparency layer, 1.2, 1.4, 2.2
ts function, 3.1.9

U

unique function, 3.1.9
use.keys argument to ore.sync, 2.2.2.1

V

views
making visible in R, 2.2.1.4

W

window functions, 3.1.9