Note: The Fit Group menu appears if you have specified multiple Y or X variables. Menu options enable you to arrange reports or order them by RSquare. See Fit Group Options in Fitting Linear Models.
When you select a platform option, objects can be added to the plot, and a report is added to the report window.
|
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 Each Pair Stepwise, Newman-Keuls 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:
– 0% (Minimum)
– 10%
– 25%
– 50% (Median)
– 75%
– 90%
– 100% (Maximum)
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.
Note: If the X factor has two levels, the menu option changes to Means/Anova/Pooled t and produces a Pooled t test report assuming equal variances.
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 information about these elements, see Mean Lines, Error Bars, and Standard Deviation Lines.
t test
(Available only if the X factor has two levels.) Produces a t test report assuming that the variances are not equal. See The t Test Report.
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 Fitting Linear Models.
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:
– recalculates confidence limits
– adjusts the mean diamonds on the plot (if they are showing)
– modifies the upper and lower confidence level values in reports
– changes the critical number and comparison circles for all Compare Means reports
– 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:
Plot Actual by Quantile
Generates a quantile plot with the response variable on the vertical axis and quantiles on the horizontal axis. The plot shows quantiles computed within each level of the categorical X factor.
Plot Quantile by Actual
Reverses the x- and y-axes.
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 participant.
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:
Save Residuals
Saves values computed as the response variable minus the mean of the response variable within each level of the factor variable.
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.
Save Normal Quantiles
Saves normal quantile values computed within each level of the categorical factor variable.
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 Local Data Filter, Redo Menus, and Save Script Menus in Using JMP for more information about the following options:
Local Data Filter
Shows or hides the local data filter that enables you to filter the data used in a specific report.
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.