Oneway Platform Options

Note: The Fit Group menu appears if you have specified multiple Y or X variables. Menu options allow you to arrange reports or order them by RSquare. See Fit Group Options in the Fitting Linear Models book for more information.

When you select a platform option, objects might be added to the plot, and a report is added to the report window.

Examples of Options and Elements
Platform Option	Object Added to Plot	Report Added to Report Window
Quantiles	Box plots	Quantiles report
Means/Anova	Mean diamonds	Oneway ANOVA reports
Means and Std Dev	Mean lines, error bars, and standard deviation lines	Means and Std Deviations report
Compare Means	Comparison circles (except Nonparametric Multiple Comparisons option)	Means Comparison reports

The red triangle menu for Oneway Analysis provides the following options. Some options might not appear unless specific conditions are met.

Quantiles

Lists the following quantiles for each group:

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Activates Box Plots from the Display Options menu. See Quantiles.

Means/Anova

Fits means for each group and performs a one-way analysis of variance to test if there are differences among the means. See Means/Anova and Means/Anova/Pooled t.

If the X factor has two levels, the menu option changes to Means/Anova/Pooled t.

Means and Std Dev

Gives summary statistics for each group. The standard errors for the means use individual group standard deviations rather than the pooled estimate of the standard deviation.

The plot now contains mean lines, error bars, and standard deviation lines. For a brief description of these elements, see Display Options. For more details about these elements, see Mean Lines, Error Bars, and Standard Deviation Lines.

t test

Produces a t-test report assuming that the variances are not equal. See The t-test Report.

This option appears only if the X factor has two levels.

Analysis of Means Methods

Provides five commands for performing Analysis of Means (ANOM) procedures. There are commands for comparing means, variances, and ranges. See Analysis of Means Methods.

Compare Means

Provides multiple-comparison methods for comparing sets of group means. See Compare Means.

Nonparametric

Provides nonparametric comparisons of group locations. See Nonparametric Tests.

Unequal Variances

Performs four tests for equality of group variances. Also gives the Welch test, which is an ANOVA test for comparing means when the variances within groups are not equal. See Unequal Variances.

Equivalence Test

Tests that a difference is less than a threshold value. See Equivalence Test.

Robust

Provides two methods for reducing the influence of outliers on your data. See Robust.

Power

Provides calculations of statistical power and other details about a given hypothesis test. See Power.

The Power Details window and reports also appear within the Fit Model platform. For further discussion and examples of power calculations, see Power Calculations in the Fitting Linear Models book.

Set α Level

You can select an option from the most common alpha levels or specify any level with the Other selection. Changing the alpha level results in the following actions:

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recalculates confidence limits

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adjusts the mean diamonds on the plot (if they are showing)

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modifies the upper and lower confidence level values in reports

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changes the critical number and comparison circles for all Compare Means reports

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changes the critical number for all Nonparametric Multiple Comparison reports

Normal Quantile Plot

Provides the following options for plotting the quantiles of the data in each group:

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Plot Actual by Quantile generates a quantile plot with the response variable on the y-axis and quantiles on the x-axis. The plot shows quantiles computed within each level of the categorical X factor.

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Plot Quantile by Actual reverses the x- and y-axes.

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Line of Fit draws straight diagonal reference lines on the plot for each level of the X variable. This option is available only once you have created a plot (Actual by Quantile or Quantile by Actual).

CDF Plot

Plots the cumulative distribution function for all of the groups in the Oneway report. See CDF Plot.

Densities

Compares densities across groups. See Densities.

Matching Column

Specify a matching variable to perform a matching model analysis. Use this option when the data in your Oneway analysis comes from matched (paired) data, such as when observations in different groups come from the same subject.

The plot now contains matching lines that connect the matching points. See Matching Column.

Save

Saves the following quantities as new columns in the current data table:

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Save Residuals saves values computed as the response variable minus the mean of the response variable within each level of the factor variable.

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Save Standardized saves standardized values of the response variable computed within each level of the factor variable. This is the centered response divided by the standard deviation within each level.

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Save Normal Quantiles saves normal quantile values computed within each level of the categorical factor variable.

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Save Predicted saves the predicted mean of the response variable for each level of the factor variable.

Display Options

Adds or removes elements from the plot. See Display Options.

See Redo Menusand Save Script Menusin the Using JMP book for more information about the following options:

Redo

Contains options that enable you to repeat or relaunch the analysis. In platforms that support the feature, the Automatic Recalc option immediately reflects the changes that you make to the data table in the corresponding report window.

Save Script

Contains options that enable you to save a script that reproduces the report to several destinations.

Save By-Group Script

Contains options that enable you to save a script that reproduces the platform report for all levels of a By variable to several destinations. Available only when a By variable is specified in the launch window.