JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Multivariate Methods
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Multidimensional Scaling
• Launch the Multidimensional Scaling Platform
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Launch the Multidimensional Scaling Platform
Launch the Multidimensional Scaling Platform by selecting
Analyze > Multivariate Methods > Multidimensional Scaling.
Figure 8.4
Multidimensional Scaling Launch Window
Y, Columns
The columns to be analyzed. These must have a Numeric data type.
By
A column or columns whose levels define separate analyses. For each level of the specified column, the corresponding rows are analyzed using the other variables that you have specified. The results are presented in separate reports. If more than one By variable is assigned, a separate report is produced for each possible combination of the levels of the By variables.
Note:
When using a distance matrix, the By variable requires a full matrix for each level of the By variable.
Data Format
MDS supports two data formats:
Distance Matrix
A full symmetric or lower triangular matrix where the number of rows equals the number of columns).The diagonal entries can either be zeros or missing.
Attribute List
A set of columns that contain measures of a quality or characteristic of an object. The objects are typically named in a column. The object column is not used in the analysis but rather is used as a label for the data points on the MDS plot.
Transformation
Supported transformations are Ratio, Interval, and Ordinal.
None
No transformation used.
Ratio
Data has an ordering from smallest to largest, the differences between values have meaning, and the scale has a true zero. Used to scale the MDS plot.
Interval
Data has an ordering from smallest to largest and the differences between values have meaning. Used to scale and shift the MDS plot.
Ordinal
Data has an ordering from smallest to largest. Used for ordinal data.
Set Dimensions
The number of dimensions for the visual representation of the proximities among your objects. Typically, two or three dimensions are used. With greater than three dimensions, the visualization becomes complex.
Note:
The dimension selected can be between 1 to n - 1 where n = the number of objects, otherwise the dimension is set to 2.
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Help created on 7/12/2018