User manual SAS DISCOVERING JMP RELEASE 9

DON'T FORGET : ALWAYS READ THE USER GUIDE BEFORE BUYING !!!

If this document matches the user guide, instructions manual or user manual, feature sets, schematics you are looking for, download it now. Diplodocs provides you a fast and easy access to the user manual SAS DISCOVERING JMP. We hope that this SAS DISCOVERING JMP user guide will be useful to you.


SAS DISCOVERING JMP RELEASE 9: Download the complete user guide (1772 Ko)

Manual abstract: user guide SAS DISCOVERING JMPRELEASE 9

Detailed instructions for use are in the User's Guide.

[. . . ] Release 9 Discovering JMP "The real voyage of discovery consists not in seeking new landscapes, but in having new eyes. " Marcel Proust JMP, A Business Unit of SAS SAS Campus Drive Cary, NC 27513 The correct bibliographic citation for this manual is as follows: SAS Institute Inc. JMP® 9 Discovering JMP Copyright © 2010, SAS Institute Inc. , Cary, NC, USA ISBN 978-1-60764-600-6 All rights reserved. For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a Web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. [. . . ] Also, the corresponding rows in the data table are selected. Figure 3. 7 Clicking Bars Click on this bar to select the corresponding data in the other chart. Comparing Multiple Variables Use multiple-variable graphs to visualize the relationships and patterns between two or more variables. This section covers the following graphs: Table 3. 1 Multiple-Variable Graphs "Scatterplots, " p. Use scatterplot matrices to compare several pairs of continuous variables. Use side-by-side box plots to compare one continuous and one categorical variable. 62 Visualizing Your Data Comparing Multiple Variables Table 3. 1 Multiple-Variable Graphs Chapter 3 "Overlay Plots, " p. 71 Use overlay plots to compare one or more variables on the Y-axis to another variable on the X-axis. Overlay plots are especially useful if the X variable is a time variable, because you can compare how two or more variables change across time. Use variability charts to compare one or more Y variables to one or more X variables. Variability charts show differences in means and variability across several variables. Bubble plots are specialized scatterplots that use color and bubble sizes to represent up to five variables at once. If one of your variables is a time variable, you can animate the plot to see your other variables change through time. "Variability Chart, " p. 82 Scatterplots The scatterplot is the simplest of all the multiple-variable graphs. Use scatterplots to determine the relationship between two continuous variables and to discover whether two continuous variables are correlated. When you have two variables that are highly correlated, one might influence the other. Or, both might be influenced by other variables in a similar way. Figure 3. 8 Example of a Scatterplot Scenario This example uses the Companies. jmp data table, which contains sales figures and the number of employees of a group of companies. Chapter 3 Visualizing Your Data Comparing Multiple Variables 63 A financial analyst wants to explore the following questions: · · · What is the relationship between sales and the number of employees?Can you predict average sales from the number of employees? To answer these questions, use a scatterplot of Sales ($M) versus # Employ. Click OK. 64 Visualizing Your Data Comparing Multiple Variables Chapter 3 Figure 3. 10 Scatterplot of Sales ($M) versus # Employ Interpreting the Scatterplot One company has a large number of employees and high sales, represented by the single point at the top right of the plot. The distance between this data point and all the rest makes it difficult to visualize the relationship between the rest of the companies. Remove the point from the plot and recreate the plot by following these steps: 1. Hiding a point removes it from any graphs but statistical calculations continue to use the point. Excluding a point removes it from any statistical calculations but does not remove it from graphs. When you both hide and exclude a point, you remove it from all calculations and from all graphs. To recreate the plot without the outlier, select Script > Redo Analysis from the red triangle menu for Bivariate. [. . . ] To also hide the point in the scatterplot, select the point, and then select Rows > Hide/Unhide. 136 Special Features Changing Preferences Chapter 6 Figure 6. 5 Updated Regression Line and Analysis Results Changing Preferences You can change preferences in JMP using the Preferences window. To open the Preferences window, select File > Preferences. Chapter 6 Special Features Changing Preferences 137 Figure 6. 6 Preferences Window On the left side of the Preferences window is a list of Preference groups. On the right side of the window are all of the preferences that you can change for the selected category. Example: Changing Preferences Every platform report window has options that you can turn on or off. However, your changes to these options are not remembered the next time you use the platform. [. . . ]

DISCLAIMER TO DOWNLOAD THE USER GUIDE SAS DISCOVERING JMP




Click on "Download the user Manual" at the end of this Contract if you accept its terms, the downloading of the manual SAS DISCOVERING JMP will begin.

 

Copyright © 2015 - manualRetreiver - All Rights Reserved.
Designated trademarks and brands are the property of their respective owners.