Basic Analysis and Graphing - SAS

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48 Performing Univariate Analysis Chapter 2 Options for Continuous Variables • The ends of the box represent the 25th and 75th quantiles, also expressed as the 1st and 3rd quartile, respectively. • The difference between the 1st and 3rd quartiles is called the interquartile range. • The box has lines that extend from each end, sometimes called whiskers. The whiskers extend from the ends of the box to the outermost data point that falls within the distances computed as follows: 1st quartile - 1.5*(interquartile range) 3rd quartile + 1.5*(interquartile range) If the data points do not reach the computed ranges, then the whiskers are determined by the upper and lower data point values (not including outliers). • The bracket outside of the box identifies the shortest half, which is the most dense 50% of the observations (Rousseuw and Leroy 1987). Remove Objects from the Outlier Box Plot To remove the confidence diamond or the shortest half, proceed as follows: 1. Right-click on the outlier box plot and select Customize. 2. Click Box Plot. 3. Deselect the check box next to Confidence Diamond or Shortest Half. For more details about the Customize Graph window, see the Using JMP book. Quantile Box Plot The Quantile Box Plot displays specific quantiles from the Quantiles report. If the distribution is symmetric, the quantiles in the box plot are approximately equidistant from each other. At a glance, you can see whether the distribution is symmetric. For example, if the quantile marks are grouped closely at one end, but have greater spacing at the other end, the distribution is skewed toward the end with more spacing. See Figure 2.9.
Chapter 2 Performing Univariate Analysis 49 Options for Continuous Variables Figure 2.9 Quantile Box Plot 90% quantile 10% quantile Quantiles are values where the pth quantile is larger than p% of the values. For example, 10% of the data lies below the 10th quantile, and 90% of the data lies below the 90th quantile. Stem and Leaf Each line of the plot has a Stem value that is the leading digit of a range of column values. The Leaf values are made from the next-in-line digits of the values. You can see the data point by joining the stem and leaf. In some cases, the numbers on the stem and leaf plot are rounded versions of the actual data in the table. The stem-and-leaf plot actively responds to clicking and the brush tool. Note: The stem-and-leaf plot does not support fractional frequencies. CDF Plot The CDF plot creates a plot of the empirical cumulative distribution function. Use the CDF plot to determine the percent of data that is at or below a given value on the x-axis.
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186 Performing Contingency Analysis
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218 Performing Simple Logistic Regr
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238 Comparing Paired Data Chapter 8
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Contents Example of Bootstrapping .
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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340 Creating Overlay Plots Chapter
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374 Creating Contour Plots Chapter
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384 Creating Bubble Plots Chapter 1
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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472 Creating Tree Maps Chapter 19 T
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474 Creating Tree Maps Chapter 19 A
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486 Creating Scatterplot Matrices C
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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508 References Hosmer, D.W. and Lem
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510 References McLachlan, G.J. and
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512 References Robertson, T., Wrigh
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514 References Wadsworth, H. M., St
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516 Index examples 459, 463-464 lau
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518 Index Horizontal option 268, 32
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520 Index Proportion of Densities o
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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