Anagrams Dataset

The "anagrams" dataset contains timings for solving anagrams under different conditions. An anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once. In this dataset, timings are recorded for solving anagrams, likely to analyze factors such as difficulty level, time taken under different conditions, or other experimental variables.

Each entry in the dataset likely includes information such as:

• The anagram itself
• The time taken to solve the anagram
• Conditions under which the anagram was solved

Columns

• subidr: Subject identifier or ID.

• attnr: Attention condition, possibly indicating whether the subject was in a "divided" or "focused" attention condition.

• num1, num2, num3: These columns likely represent numerical values or measurements recorded for each subject under different conditions or trials.

Each row in the dataset appears to correspond to a single observation or trial, with the values representing various measurements or responses collected from each subject.