Chapter 3. Tutorial

Table of Contents

Introduction
About this tutorial
About analysis flow
Basic operation
Launching R AnalyticFlow
Create a node
Execute a node
Execute from console
Draw an analysis flow
Run a flow
Edge operation
Save a flow
Next steps
Self-learning example
Sample analyses

Introduction

About this tutorial

In this tutorial you will learn how to conduct data analysis using R AnalyticFlow. In this section you will learn the basic concept of R AnalyticFlow. Then in the next section you will learn basic operations of the software through illustrative examples.

About analysis flow

In R AnalyticFlow you conduct data analysis by drawing an analysis flow. Let us draw an analysis flow represented by the following short R script:

data(iris)
plot(iris[, 1:4], col = as.integer(iris$Species) + 1)
boxplot(Petal.Length ~ Species, data = iris, col = 3, main = "Petal.Length")

You do not have to care about the details of this script. Summing up, it performs the following process in order:

  1. Loading data

  2. Drawing a scatterplot

  3. Drawing a boxplot

An analysis flow is a graphical representation of such a process. This example can be described as follows:

A graphic symbol (disk icon / triangle) is called a node, and an arrow between nodes is called an edge. The combination of nodes and edges represents the order that processes are executed.

In R AnalyticFlow you draw such an analysis flow and conduct data analysis by executing processes according to the flow. Analysis flow makes it easier to overview processes of data analysis, which helps smooth sharing of knowledge.