Macros for Graphs

1. Added Variable Plots
2. Bland-Altman Plot
3. Boxplot that uses 3*IQR to Determine Outliers
4. Bubble Plots
5. Display Median, Q1, and Q3 on a Dotplot
6. Fitted Line Plot Through the Origin
7. Frequencies and Percents from Intervals Produced by a Histogram
8. Ogive Curves
9. Ridge Trace Plot
10. Table of Frequencies and Percents from a default Histogram

Added Variable Plots
This macro creates added variable plots in a linear regression analysis. These plots are also known as partial regression plots. Written by Mike Delozier Back to Top

• Minitab 15 and 16
• Code
  Sample Data 1
  Documentation
  

Bland-Altman Plot
This macro produces a Bland-Altman plot of paired data. The differences and averages of the data pairs are plotted with the center line and the limits of agreement (LOA). Plotted points beyond the LOA are flagged in red. Written by Eli Walters Back to Top

• Minitab 15 and 16
• Code
  

Boxplot that uses 3*IQR to Determine Outliers
This macro creates a boxplot in which the outliers are based on 3 times the interquartile range (instead of 1.5) and are optionally stored in the worksheet. Written by Andy Haines Back to Top

• Minitab 15 and 16
• Code
  

Bubble Plots
This macro generates a bubble plot. The bubble sizes are scaled so that the maximum bubble size is 15. Optional subcommands allow you to specify symbol colors and to change the maximum scaled bubble size. Written by Kelly Aubuchon Back to Top

• Minitab 15 and 16
• Code
  

Display Median, Q1, and Q3 on a Dotplot
This macro creates a dotplot for each input variable and plots the median, Q1, and Q3. There is an option to plot the mean, and the mean +- 1 standard deviation instead. Written by Nick Bolgiano and Steve Orlich Back to Top

• Minitab 15 and 16
• Code
  

Fitted Line Plot Through the Origin
This macro creates a fitted line plot that goes through the origin. Written by Cathy Akritas Back to Top

• Minitab 15 and 16
• Code
  

Frequencies and Percents from Intervals Produced by a Histogram
This macro displays the intervals, frequencies, and percents from a histogram where the user specifies the intervals. Written by Cathy Akritas Back to Top

• Minitab 15 and 16
• Code
  

Ogive Curves
This macro creates an ogive curve. The default settings create a cumulative relative frequency ogive curve. There is an option to create a relative frequency ogive curve. The input data can be raw data like 2 1 5 5 2 1 5 4 5 2 or summarized in a frequency table. Written by Cathy Akritas Back to Top

• Minitab 15 and 16
• Code
  

Ridge Trace Plot
Produces a ridge trace plot and a plot of RSS VS K for data in 'y' and predictors formed into the M1 matrix. M1 and 'y' should be in "correlation form". These plots are useful data analytic tools for ridge regression. Written by Berton Gunter Back to Top

• Minitab 15 and 16
• Code
  Sample Data 1
  

Table of Frequencies and Percents from a default Histogram
This macro displays the frequency and percent of observations that fall into the default bins created by histogram. Written by Cathy Akritas Back to Top

• Minitab 15 and 16
• Code
  

Disclaimer:

Minitab Inc. provides the Macro Library as a convenience only. Minitab neither endorses, supports, nor verifies the accuracy of any content, information, or functionality of any macro found in the Macro Library. Minitab specifically disclaims any and all responsibility or liability arising from or related to any reliance upon, use, or incorporation of any content, information, or macro found in the Macro Library.