UPCOMING WEBINAR: Faster (and better) survey analysis There are various ways to hide rows or columns based the sample size. For specialty tables (i.e. Paste or Enter Table) or visualizations, see How to Hide Rows or Columns with Small Sample Sizes. For built-in drag and drop tables, see How to Hide Rows and Columns with Small Sample Sizes in a Table. This article describes how to do this using R to create a new R table. For example, you can go from a table showing all the data:
To a table that only shows data for rows/columns with sufficient data (I'm using a Sample Size threshold of 20 for the table below):
Requirements
- A table showing at least two statistics in the Statistics > Cells dropdown, one of which being either Row Sample Size or Column Sample Size
- General knowledge of How to Work with Data in R and How to Work with Conditional R Formulas.
Method - Hide rows
In this example, we'll hide all rows with a Row Sample Size of less than 20 - in the first column. If you have different bases for the different columns, you can specify a different column to use.
- Click Calculation
> Custom Code from the toolbar, and click on the page to place the custom object.
- Paste the code below into the R Code editor. Change
table.Preferred.cola.by.Quarterly.dates.6 to the name of your table, and edit the threshold of 20 and final statistic to show (currently Column %) as needed.
#identify table
x=table.Preferred.cola.by.Quarterly.dates.6
#identify rows with sample sizes above 20 in the first column
#change 20 if needed
keeprows=x[,1,"Row Sample Size"] > 20
#return table without those rows
#return the Column % or change that to the other stat in your table
x[keeprows,,"Column %"] - Click Calculate.
- OPTIONAL: Add % signs and reduce the number of decimals shown from the Appearance > Appearance options in the object inspector.
Method - Hide Columns
Similar to above, if you'd like to remove columns based on Column Sample Size of 20 you can use the code below:
#identify table
x=table.Preferred.cola.by.Quarterly.dates.6
#identify cols with sample sizes above 20 in the first row
#change 20 if needed
keepcols=x[1,,"Column Sample Size"] > 20
#return table without those cols
#return the Column % or change that to the other stat in your table
x[,keepcols,"Column %"]
Next
How to Hide Rows or Columns With Small Sample Sizes
How to Blank or Cap R Table Cells Based on a Different Statistic Using R
How to Hide an Output with a Small Sample Size Using an R Error
How to Hide an Output with a Small Sample Size Using a Calculation