How to Extract Data from a Multiple Column Table with Multiple Statistics

Introduction

This article describes how to go from a multiple column table with more than one statistic...

 

...to returning only the cells you need.

 

Requirements

Please note these steps require a Displayr license.

A multiple-column table with multiple statistics.

 

Method 1 - Point and click

1. Click on Calculation > Custom Code.

2. Click on the page to insert a calculation box on the page.

3. While the cursor is blinking (active) in the R CODE box, click on a part of a table that you'd like to extract.

See Bespoke Analyses for examples and a demo of the feature.

4. OPTIONAL: Add a percentage sign or adjust the number of decimal places via Appearance > Appearance.

 

Method 2 - By name

1. Select your table.

2. Copy the name from General > General > Name.

3. Select Calculation > Custom Code.

4. Go to the R CODE editor.

5. Add a line in the format of table_name[row_name, column_name, statistic_name]

Using our example, the code to return just the percentage from the second row of the Male column is:

table.age.by.gender["25 to 29","Male","Column %"]

To instead return percentages from the first three rows of the Male column is:

table.age.by.gender[c("18 to 24","25 to 29","30 to 34"),"Male","Column %"]

Leaving one of these arguments empty will return all the rows, columns, or statistics respectively from the table.

Below the column argument has been removed from above (table.age.gender[c("18 to 24","25 to 29","30 to 34"),,"Column %"]) so it returns both columns:

6. OPTIONAL: Add a percentage sign or adjust the number of decimal places via Appearance > Appearance.

 

Method 3 - By index

1. Select your table.

2. Copy the name from General > General > Name.

3. Select Calculation > Custom Code.

4. Go to the R CODE editor.

5. Add a line in the format of table_name[row_index, column_index, statistic_index]

Using our example, the code to return the percentage from the second row of the first column is: table.age.by.gender[2,1,1]

To instead return percentages from the first three rows of the first column is: table.age.by.gender[c(1,2,3),1,1]

Alternatively, you can use index ranges: table.age.by.gender[1:3,1,1]

You can even reverse this to remove the other rows instead: table.age.by.gender[c(-4:-10,1,1)]

You can additionally remove the last row by using the NROW argument:

table.age.by.gender[-NROW(table.age.by.gender),,]

6. OPTIONAL: Add a percentage sign or adjust the number of decimal places via Appearance > Appearance.

 

See also

How to Extract Data from a Single Column Summary Table

How to Extract Data from a Multiple Column Table

How to Extract Data from a Multiple Column Table with Nested Data