Graphs Variable Lists
2D Graphs
2D Scatterplots
X: All continuous and categorical predictors
Y: All continuous and categorical dependent variables
Note: If multiple scatterplot is selected as the graph type, one multiple plot will be created for each Y variable.
2D Means w/Error Plots
Dependent variable: All continuous dependent variables and continuous predictors
Grouping variable: All categorical dependent variables and categorical predictors
2D Box Plots
Dependent variable: All continuous dependent variables and continuous predictors
Grouping variable: All categorical dependent variables and categorical predictors
2D Variability Plots
Dependent variable: All continuous dependent variables and continuous predictors
Grouping variable: All categorical dependent variables and categorical predictors
2D Range Plots
Mid-Point: All continuous dependent variables and continuous predictors
Max: All continuous dependent variables and continuous predictors
Min: All continuous dependent variables and continuous predictors
Note: First, the continuous dependent variables are plotted in blocks of 3 variables. In each block (of three variables each), the first variable is interpreted to contain the Min (minimum) values, the second the Mid-Point values, and the third the respective Max (maximum) values. This pattern is repeated for all continuous dependent variables. If the number of dependent variables selected is not a multiple of 3, then the last continuous dependent variable will be repeated to complete the respective block. For example, if you selected V1-V5 as continuous dependent variables, 2 plots will be created: The first will use V1 as Min, V2 as Mid-Point and V3 as Max; the second will use V4 as Min, V5 as Mid-Point and V5 as the Max (i.e., V5 is repeated). The above procedure is repeated for the continuous predictors as well.
2D Scatter Icon Plots
X: All continuous predictors
Y: All continuous predictors (where X<>Y)
Icons: All continuous dependent variables
Weights: Counts variable
2D Bar/Column Plots
Variables: All dependent variables and predictors
Note: If multiple plot is selected as the graph type, one multiple plot will be created for all variables.
2D Line Plots (Variables)
Variables: All dependent variables and predictors
Note: If multiple plot is selected as the graph type, one multiple plot will be created for all variables.
2D Line Plots (Case Profiles)
Variables: All dependent variables and predictors
Note: If multiple plot is selected as the graph type, one multiple plot will be created for all variables.
2D Sequential/Stacked Plots
Variables: All continuous dependent variables and continuous predictors
Note: One multiple graph is created for all variables.
2D Missing/Range Data Plots
Variables: All dependent variables and predictors
Note: One multiple graph is created for all variables.
Raw Data Plot
Variables: All continuous dependent variables and continuous predictors
Note: One multiple graph is created for all variables.
Bivariate Histograms
X: All continuous and categorical predictors
Y: All continuous and categorical dependent variables
3D Range Plots
Mid-Point: All continuous dependent variables and continuous predictors
Max: All continuous dependent variables and continuous predictors
Min: All continuous dependent variables and continuous predictors
Note: First, the continuous dependent variables are plotted in blocks of 3 variables. In each block (of three variables each), the first variable is interpreted to contain the Min (minimum) values, the second the Mid-Point values, and the third the respective Max (maximum) values. This pattern is repeated for all continuous dependent variables. If the number of dependent variables selected is not a multiple of 3, then the last continuous dependent variable will be repeated to complete the respective block. For example, if you selected V1-V5 as continuous dependent variables, 2 plots will be created: The first will use V1 as Min, V2 as Mid-Point and V3 as Max; the second will use V4 as Min, V5 as Mid-Point and V5 as the Max (i.e., V5 is repeated). The above procedure is repeated for the continuous predictors as well.
3D Box Plot
Dependent variable: All continuous dependent variables and continuous predictors
Grouping variable: All categorical dependent variables and categorical predictors
Scatterplots
X: First continuous predictor
Y: Remaining continuous predictors
Z: All continuous dependent variables
3D Surface Plots
X: First continuous predictor
Y: Remaining continuous predictors
Z: All continuous dependent variables
3D Contour Plots
X: First continuous predictor
Y: Remaining continuous predictors
Z: All continuous dependent variables
3D Ternary Plots
X: First continuous predictor
Y: Second continuous predictor
Z: Remaining continuous predictors
V: All continuous dependent variables
3D Categorized XYZ Plots
X: First continuous predictor
Y: Remaining continuous predictors
Z: All continuous dependent variables
Category: All categorical predictors
Categorized 3D Ternary Plots
X: First continuous predictor
Y: Second continuous predictor
Z: Remaining continuous predictors
V: All continuous dependent variables
Category: All categorical predictors
Categorized Histograms
Variables: All continuous and categorical dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized 2D Scatterplots
X: All continuous predictors
Y: All continuous dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized Means with Error Bars Plots
Dependent variable: All continuous and categorical dependent variables
Grouping variable: First N-2 categorical predictors (none when N<=2)
X-Category: Second to last categorical predictor
Y-Category: Last categorical predictor
Categorized Box Plots
Dependent variable: All continuous and categorical dependent variables
Grouping variable: First N-2 categorical predictors (none when N<=2)
X-Category: Second to last categorical predictor
Y-Category: Last categorical predictor
Categorized Normal Probability Plots
Variables: All continuous and categorical dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized Quantile-Quantile Plots
Variables: All continuous and categorical dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized Probability-Probability Plots
Variables: All continuous and categorical dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized 2D Line Plots (Variables)
Variables: All continuous and categorical dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized Pie Charts
Variables: All continuous and categorical dependent variables
X-Category: First categorical predictor
Y-Category: Remaining categorical predictors
Categorized 3D Ternary Plots
X: First continuous predictor
Y: Second continuous predictor
Z: Remaining continuous predictors
V: All continuous dependent variables
Category: All categorical predictors