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R 170 pages

Admin
Anova
Apply a function over a data structure
Array
as function
Attribute of an object
Binomial Distribution
Book
Bootstrap
Break
c (combine) function
Character type
Choose (binomial coefficient)
Class
(function|closure)
Cluster Generation
Coerce methods (Object Class conversion)
Colon (:) OperatoSequence generator
Colorspace (Manipulation)
Columns
Complex Number
Condition
Connection (Stream)
Constant
Correlation
K-fold cross-validation (with Leave-one-out)
Csv
Data Generation
Data Manipulation
Default Data Set
Data Type
Data frame Object
Data Table
Database (JDBC, )
Date
Debug
Density
(dependent|paired sample) t-test
Dev Note
Dimension (Dim)
Dplyr (Data Frame Operations)
Dput
(Dummy Code|Categorical Variable) in Regression
Dump
Environment variable
Environment (Scope)
Excel (xlsx )
Export
Factor (Category, Enumerated Type)
Feature selection - Model Generation (Best Subset and Stepwise)
Fitting Function
Flow (Control Structure)
For
Formula ( ~ tilde)
File System (File, Directory)
Function
Generalized linear model (glm)
Data Generator
Getting Started
Glm Function
Grammar
Help
Hierarchical Clustering
Histogram
History
(Indicator|Identity) Function (I)
If / ifElse
independent t-test
Inf (Infinity Constant)
ORE - Install 1.3.1
Install and Configuration (RProfile)
Integer
Interaction Analysis
Java
Join Data Frame (Merge)
K-means clustering
Knit (Report generation)
K-Nearest Neighbors (KNN) Analysis
Levene's test
Library
Linear Discriminant Analysis (LDA)
List
(Fitting) Linear Model (lm)
LOcal regrESSion (LOESS)
Log Message (Output stream)
Logical Type
Logistic Regression
Loop Structure
Markdown
Matrix
Mean
MKL (Math Kernel Library)
Feature Selection - Model selection with Direct validation (Validation Set or Cross validation)
Feature Selection - Indirect Model Selection
Microsoft - R Open (MRO, formerly Revolution R Open) and Microsoft R Server (MRS, formerly Revolution R Enterprise)
Multiple Linear Regression
NA (Not Available)
Names
Namespace
NaN
Next
Non-linear Effect Analysis
Normal Distribution
(Numeric|Double) Vector
Object Scope (Scoping Rule)
(Object|Variable|Symbol)
(Mathematical|Logical) Operators
Option (Global Options)
ORE - Snippet
ORE (Oracle R Enterprise)
OS Command
Package
Principal Component Analysis
Pipe Operator
Plot (Graphic System)
Plotly
Polynomial
Date Time (POSIXct)
Predict
Print
Psych Package
raw
Read.Table
Readlines
Regression
rep (repetition of element)
Repeat
Require
Reserved (Variable|Words)
Return Function
Shrinkage Method (Ridge Regression and Lasso)
R Markdown (Rmd)
Rows
Sample
Scale
Scatterplot
Script (.R file)
Standard Deviation (sd)
Sequence
Simple Linear Regression
Object Memory Size
Smoothing spline
Software
Source
SparkR
Special Character
Special Character
Spline
Step Function Model
Stepwise
Str (Structure)
Strict
String
Subset Operators (Extract or Replace Parts of an Object)
Subset
Summary
Switch
Table
Tidyverse
Tilde Operator
Time
TopN Analysis
Treemap
(Datatype|Type|Storage Mode) of an object (typeof, mode)
The Uniform Distribution - (d|p|q|r)unif
Variable
Variance
Vector
While
With Function
writeLines

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R - Data Manipulation

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subset function,
subset operators
the package package=dplyr

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R - Subset Operators (Extract or Replace Parts of an Object)

In the Data Manipulation category, you have the subset operators: [ [[ $ This operators acts on: vectors, matrices, arrays lists data.frame to extract or replace parts. See also:...

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