Basic Analysis and Graphing - SAS

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316 Creating Summary Charts Chapter 11 Example of the Chart Platform Table 11.1 Description of the Chart Launch Window (Continued) Additional Roles: Grouping Weight Freq By For one or more Grouping variables, independent results are produced for each level or combination of levels of the grouping variables. These results appear in the same report window, but in separate plots. See “Use Grouping Variables” on page 319. Assigns a variable to give the observations different weights. Assigns a frequency variable. This is useful if you have summarized data. By variables cause plots to be created in separate outline nodes. Options: Overlay Chart Orientation Chart Type Show Points Connect Points Add Error Bars to Mean If this option is selected, all Y variables are plotted in one graph. If this option is not selected, each Y variable is plotted in its own graph. This option is selected by default where available. This option is available for all chart types except Pie Chart. Select Vertical for a vertical chart or Horizontal for a horizontal chart. Vertical is the default option. This option is available for all chart types except Pie Chart. Select the type of chart that you want. Available chart types are Bar Chart, Line Chart, Pie Chart, Needle Chart, and Point Chart. Selecting a chart controls which of the other options are available. You can always change these options after the chart appears. See “Y Options” on page 323. Shows the points in the plot. This option is selected by default where available. This option is available for all chart types except Bar Chart and Pie Chart. Connects the points in the plot. Show Points does not have to be selected to connect points. This option is selected by default where available. This option is available only for Line Chart. Adds error bars when the Mean statistic is selected for at least one Y variable and at least one X variable is assigned. This option is not selected by default. This option is available for Line Chart and Bar Chart, and additional options are added to the Chart launch window. See “Adding Error Bars” on page 319.
Chapter 11 Creating Summary Charts 317 Example of the Chart Platform Table 11.1 Description of the Chart Launch Window (Continued) Percent for quantiles Sets the specific quantile when the Quantiles statistic is selected for at least one Y variable. The default value is 25. Specify a different quantile: 1. Type the value in the Percent for quantiles box. 2. Select a column. 3. Click Statistics. 4. Select Quantiles from the menu of statistics. For more information about the launch window, see Using JMP. After you click OK, the Chart report window appears. See “The Chart Report” on page 320. Plot Statistics for Y Variables You can plot the raw data for Y variables, or you can plot as many statistics as you want on the y-axis. The Statistics menu in the Chart launch window lists the available statistics. To specify the y-axis, highlight one or more numeric columns in the Select Columns list and select from the list of statistics. If all the statistics requested are counting statistics (for example, N) for the same column, that column is used as the category variable. The available statistics in the Chart platform are described in the following table. They are the same as those computed by statistical platforms in the Analyze menu and the Summary command in the Tables menu. Data N The value of each row in the data table when there is no categorical variable. If there is a categorical variable, Data produces a point plot within the variable’s levels. The number of nonmissing values. Also used to compute statistics when there is no column assigned as a weight variable. The Chart platform shows N for each level of a categorical variable. % of Total The percentage of the total number of rows represented by each level of the Categories, X, Levels variable. If summary statistics are requested on a continuous variable, then the % of Total equals the proportion of the sum represented by each level of the Categories, X, Levels variable. N Missing Min Max Sum Wgt Sum The number of missing values in each level of a categorical variable. The least value, excluding missing values, in the level of a categorical variable. The greatest value in the level of a categorical variable. The sum of all values in a column assigned as Weight. Also used instead of N to compute other statistics. Chart shows the sum of the weight variable for each level of a categorical variable. The sum of all values in each level of a categorical variable.
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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Contents Overview of the Fit Y by X
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90 Introduction to the Fit Y by X P
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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186 Performing Contingency Analysis
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218 Performing Simple Logistic Regr
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Contents Overview of the Matched Pa
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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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366 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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Contents Example of a Parallel Plot
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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Contents Example of Tree Maps . . .
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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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Contents Example of a Ternary Plot
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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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