11(2)-JMP_ICAR

24
JMP Satyajit Dwivedi JMP SAS India Representative [email protected]

Transcript of 11(2)-JMP_ICAR

Page 1: 11(2)-JMP_ICAR

JMPSatyajit Dwivedi

JMP

SAS India [email protected]

Page 2: 11(2)-JMP_ICAR

Introduction JMP is statistical software that gives you an extraordinary graphical interface to display

Introduction JMP is statistical software that gives you an extraordinary graphical interface to display

and analyze data. JMP is for interactive statistical graphics and includes:• a spreadsheet for viewing, editing and manipulating data

b d f hi l d t ti ti l th d f d t l i• a broad range of graphical and statistical methods for data analysis• an extensive design of experiments module special plots, charts and communication capabilities for quality control and p p , p q y

improvement a facility for grouping data and computing summary statistics

ti t hi hli ht d di l b t f th d t• options to highlight and display subsets of the data • data management tools for sorting and combining tables• a calculator for each table column to compute values p• tools for moving analysis results between applications and for printing• Integrated with SAS STAT • Integrated with R Software• JMP Genomics is integrated with SAS Genetics, SAS Microarray

Page 3: 11(2)-JMP_ICAR

Analysis InterfacesAnalysis Interfaces

File Menu Univariate and Bivariate Summa& Fitting

3

& Fitting

Page 4: 11(2)-JMP_ICAR

Analysis Interfacea ys s te ace

Integrated with SASData Management

4

Page 5: 11(2)-JMP_ICAR

Analysis InterfacesAnalysis Interfaces

5

Experimental Design – Define factors and design a table of experimental runs

Page 6: 11(2)-JMP_ICAR

Analysis InterfacesAnalysis Interfaces

Fitting Models to Data(including Neural Network & Decision Tree)

Multi-variate Analysis

6

( g )

Page 7: 11(2)-JMP_ICAR

Analysis InterfacesAnalysis Interfaces

Reliability Analysis Advanced Graphics

7

Page 8: 11(2)-JMP_ICAR

Analysis InterfacesAnalysis Interfaces

Graphs of Expressions Measure Process Capability /

8

Capability / Evaluating a measurement system

Page 9: 11(2)-JMP_ICAR

Analysis InterfacesAnalysis Interfaces

Statistical Process Control

9

Page 10: 11(2)-JMP_ICAR

JMP Software’s Progressive InterfaceJ So t a e s og ess e te ace

10

Page 11: 11(2)-JMP_ICAR

Dynamic Linkingy a c g

11

Page 12: 11(2)-JMP_ICAR

Saving Scripts to the Data TableSa g Sc pts to t e ata ab e

12

Page 13: 11(2)-JMP_ICAR

Formula Editoro u a d to

13

Page 14: 11(2)-JMP_ICAR

Context-Sensitive HelpCo te t Se s t e e p

14

Page 15: 11(2)-JMP_ICAR

JMP JournalJ Jou a

15

Page 16: 11(2)-JMP_ICAR

The Tables Menue ab es e u

16

Page 17: 11(2)-JMP_ICAR

Graphing Continuous ValuesG ap g Co t uous a ues

17

Page 18: 11(2)-JMP_ICAR

Graphing Continuous ValuesG ap g Co t uous a ues

18

Page 19: 11(2)-JMP_ICAR

Querying and Modifying GraphsQue y g a d od y g G ap s

Graphics tools:p

Row states:

Axis ifi tispecifications:

19

Page 20: 11(2)-JMP_ICAR

Using JMP Scripts to Save ResultsUs g J Sc pts to Sa e esu ts JMP scripting language (JSL) can be used to

reproduce results without performing the analysisreproduce results without performing the analysis using menus.

Scripts can be saved to your data table, keeping p y , p ga record of the analyses you have performed.

Scripts attached to a data table enable you to efficiently share your analyses with others.

20

Page 21: 11(2)-JMP_ICAR

Scripts in the Table PanelSc pts t e ab e a e

21

Page 22: 11(2)-JMP_ICAR

Recursive Partitioningecu s e a t t o gPartitioning refers to segmenting the data into subgroups that are as homogeneous as possible with respect to thethat are as homogeneous as possible with respect to the dependent variable (Y).

22

Page 23: 11(2)-JMP_ICAR

Divide and Conquerde a d Co quen =131

$13.24 meandonation

yes no

n = 71 n = 60

INCOME < 5y no

n 71 n 60

$15.62 meand ti

$11.22 meand ti donationdonation

23

Page 24: 11(2)-JMP_ICAR

Relationships Between Attribute Data Columnse at o s ps et ee tt bute ata Co u s

24