abalone | Abalone data set |
aggregate-methods | Functions to perform a calculation on multiple values and... |
aic | AIC methods for Madlib regression objects |
arith-methods | Arithmetic Operators for 'db.obj' objects |
arraydb.to.arrayr | Convert strings extracted from database into arrays |
array.len | Get the length of the array in an array column |
as.db.data.frame-methods | Convert other objects into a 'db.data.frame' object |
as.environment | Evaluate expressions within the context of a database table... |
as.factor-methods | Convert one column of a 'db.obj' object into a categorical... |
by-methods | Apply a Function to a 'db.data.frame' Split by column(s) |
cbind2 | Combine two 'db.obj' Objects by Columns |
clean.madlib.temp | Delete all the result tables created during calculations of... |
coef | Extract model coefficients for Madlib regression objects |
compare-methods | Comparison Operators for 'db.obj' objects |
connection-info | Utilities for extracting related information about a database... |
conn.eql | Check whether two connections are the same |
conn.id | Find out the connection ID of a 'db.obj' object |
content | Print the content of a 'db.obj' object |
crossprod | Compute the matrix product of 'X^T' and 'Y'. |
db.connect | Create a connection to a database |
db.data.frame | Create a 'db.data.frame' object pointing to a table/view in... |
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... |
db.obj-class | Abstract Class '"db.obj"' |
db.objects | List all the existing tables/views in a database with their... |
db.q | Execute a SQL query |
db.Rcrossprod-class | Class '"db.Rcrossprod"' |
db.Rquery-class | Class '"db.Rquery"' and its sub-class 'db.Rview-class' |
db.search.path | Display or set the search path (i.e. default schemas) for a... |
db.table-class | Class '"db.table"' |
db.view-class | Class '"db.view"' |
delete-methods | Safely delete a 'db.obj' object or a table/view in the... |
dim-methods | Dimension of a table |
eql-methods | Test if two objects point to the same table |
extract-replace-methods | Extract or replace a part of 'db.obj' objects |
func-methods | Mathematical functions that take 'db.obj' objects as the... |
generic.bagging | This function runs boostrap aggregating for a given training... |
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 | Conditional Element Selection |
is.db.data.frame | Check if an object is of type 'db.data.frame' |
is.factor-methods | Detect whether a 'db.obj' object is a categorical object |
is.na-methods | Query if the entries in a table are NULL |
key | Get or set the primary key for a table |
logical-methods | Logical operations for 'db.obj' objects |
madlib.arima | Wrapper for MADlib's ARIMA model fitting function |
madlib.elnet | MADlib's elastic net regularization for generalized linear... |
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-methods | Computing a join on two tables |
na.action | Functions for filtering 'NA' values in data |
names-methods | The Names of an object |
null.data | A Data Set with lots of 'NA' values |
perplexity.lda.madlib | Perplexity of LDA predictions |
pivotalr | Graphical interface for PivotalR based upon shiny |
pkg-package | An R font-end to PostgreSQL and Greenplum database, and... |
plot.dt.madlib | Plot the result of madlib.rpart |
predict | Generate the 'db.Rquery' object that can calculate the... |
predict.arima.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... |
predict.lda.madlib | Prediction function for MADlib's LDA models |
predict.rf.madlib | Compute the predictions of the model produced by... |
preview | Read the actual data stored in a table of database. |
print.arima.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... |
print.lm.madlib | Display results of linear regression |
print.logregr.madlib | Display results of logistic regression |
print-methods | Display the connection information associated with a 'db'... |
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 |
residuals | Residuals methods for Madlib regression objects |
row_actions | Compute the sum or mean of all columns in one row of a table |
sample-methods | Methods for sampling rows of data from a table/view randomly |
scale-methods | Scaling and centering of tables |
sort-methods | Sort a table or view by a set of columns |
subset-methods | Extract a subset of a table or view |
summary.arima.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 |
type-cast | Cast columns of 'db.obj' objects to other types |
unique-methods | The Unique of an object |
vcov | vcov methods for Madlib regression objects |
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