AIC.logregr.madlib      AIC methods for Madlib regression objects
Aggregate functions     Functions to perform a calculation on multiple
                        values and return a single value
Arith methods           Arithmetic Operators for 'db.obj' objects
Compare methods         Comparison Operators for 'db.obj' objects
Extraction methods      Extract or replace a part of 'db.obj' objects
Logical methods         Logical operations for 'db.obj' objects
Math Functions          Mathematical functions that take 'db.obj'
                        objects as the argument
PivotalR                Graphical interface for PivotalR based upon
                        shiny
PivotalR-package        An R font-end to PostgreSQL and Greenplum
                        database, and wrapper for in-database parallel
                        and distributed machine learning open-source
                        library MADlib
Type Cast functions     Cast columns of 'db.obj' objects to other types
abalone                 Abalone data set
array.len               Get the length of the array in an array column
arraydb.to.arrayr       Convert strings extracted from database into
                        arrays
as.db.data.frame        Convert other objects into a 'db.data.frame'
                        object
as.environment          Evaluate expressions within the context of a
                        database table or view
as.list,db.obj-method   Combine two 'db.obj' Objects by Columns
by,db.obj-method        Apply a Function to a 'db.data.frame' Split by
                        column(s)
clean.madlib.temp       Delete all the result tables created during
                        calculations of MADlib
coef.logregr.madlib     Extract model coefficients for Madlib
                        regression objects
conn.eql                Check whether two connections are the same
conn.id                 Find out the connection ID of a 'db.obj' object
connection info         Utilities for extracting related information
                        about a database connection
content                 Print the content of a 'db.obj' object
crossprod               Compute the matrix product of 'X^T' and 'Y'.
db.Rcrossprod-class     Class '"db.Rcrossprod"'
db.Rquery-class         Class '"db.Rquery"' and its sub-class
                        'db.Rview-class'
db.connect              Create a connection to a database
db.data.frame           Create a 'db.data.frame' object pointing to a
                        table/view in the database
db.data.frame-class     Class '"db.data.frame"'
db.disconnect           Disconnect a connection to a database
db.existsObject         Test whether an object exists in the database
db.list                 List all the currently active connections with
                        their information
db.obj-class            Abstract Class '"db.obj"'
db.objects              List all the existing tables/views in a
                        database with their schema names
db.q                    Execute a SQL query
db.search.path          Display or set the search path (i.e. default
                        schemas) for a connected session to a database.
                        The use can easily switch to a schema that he
                        has the privilege to write.
db.table-class          Class '"db.table"'
db.view-class           Class '"db.view"'
delete                  Safely delete a 'db.obj' object or a table/view
                        in the database
dim,db.table-method     Dimension of a table
eql                     Test if two objects point to the same table
generic.bagging         This function runs boostrap aggregating for a
                        given training function.
generic.cv              Generic cross-validation for supervised
                        learning algorithms
getTree.rf.madlib       MADlib wrapper function for Random Forest
groups                  Summary information for Logistic Regression
                        output
ifelse,db.obj-method    Conditional Element Selection
is.db.data.frame        Check if an object is of type 'db.data.frame'
is.factor,db.obj-method
                        Detect whether a 'db.obj' object is a
                        categorical object
is.na,db.obj-method     Query if the entries in a table are NULL
key                     Get or set the primary key for a table
lk                      Read the actual data stored in a table of
                        database.
madlib.arima            Wrapper for MADlib's ARIMA model fitting
                        function
madlib.elnet            MADlib's elastic net regularization for
                        generalized linear models
madlib.glm              Generalized Linear Regression by MADlib in
                        databases
madlib.kmeans           Wrapper for MADlib's Kmeans clustering function
madlib.lda              Wrapper for MADlib's Latent Dirichilet
                        Allocation
madlib.lm               Linear regression with grouping support,
                        heteroskedasticity
madlib.randomForest     MADlib wrapper function for Random Forest
madlib.rpart            MADlib wrapper function for Decision Tree
madlib.summary          Data summary function
madlib.svm              Support Vector Machine with regression and
                        novelty detection
margins                 Compute the marginal effects of regression
                        models
merge,db.obj,db.obj-method
                        Computing a join on two tables
na.omit,db.obj-method   Functions for filtering 'NA' values in data
names,db.obj-method     The Names of an object
null.data               A Data Set with lots of 'NA' values
perplexity.lda.madlib   Perplexity of LDA predictions
plot.dt.madlib          Plot the result of madlib.rpart
predict.arima.css.madlib
                        Forecast from MADlib's ARIMA fits
predict.bagging.model   Make predictions using the result of
                        'generic.bagging'
predict.dt.madlib       Compute the predictions of the model produced
                        by madlib.rpart
predict.elnet.madlib    Predict using the regression result of elastic
                        net regularization
predict.lda.madlib      Prediction function for MADlib's LDA models
predict.lm.madlib       Generate the 'db.Rquery' object that can
                        calculate the predictions
predict.rf.madlib       Compute the predictions of the model produced
                        by madlib.randomForest
print,db.data.frame-method
                        Display the connection information associated
                        with a 'db' object
print.arima.css.madlib
                        Display results of ARIMA fitting of
                        'madlib.arima'
print.dt.madlib         Print the result of madlib.rpart
print.elnet.madlib      Display the results from madlib.elnet function
                        in a pretty format
print.lm.madlib         Display results of linear regression
print.logregr.madlib    Display results of logistic regression
print.none.obj          Function used in GUI to print absolutely
                        nothing
print.rf.madlib         Print the result of madlib.randomForest
print.summary.madlib    Display the results from summary function in a
                        pretty format
relevel,db.obj-method   Convert one column of a 'db.obj' object into a
                        categorical variable
residuals.logregr.madlib
                        Residuals methods for Madlib regression objects
rowSums,db.obj-method   Compute the sum or mean of all columns in one
                        row of a table
sample,db.obj-method    Methods for sampling rows of data from a
                        table/view randomly
scale,db.obj-method     Scaling and centering of tables
sort,db.obj-method      Sort a table or view by a set of columns
subset,db.obj-method    Extract a subset of a table or view
summary.arima.css.madlib
                        Summary information for MADlib's ARIMA model
summary.elnet.madlib    Summary information for Elastic net
                        regularization output
summary.lm.madlib       Summary information for Linear Regression
                        output
summary.logregr.madlib
                        Summary information for Logistic Regression
                        output
text.dt.madlib          Add labels onto the figure generated by
                        plot.dt.madlib
unique,db.obj-method    The Unique of an object
vcov.logregr.madlib     vcov methods for Madlib regression objects
