Based on prior knowledge, we can analyze the relationship between the feature "n_r_ecg_p_05" and the presence of chronic heart failure in myocardial infarction complications data.

Since the feature "n_r_ecg_p_05" represents paroxysms of atrial fibrillation on ECG at the time of admission to the hospital, it is possible for this feature to have some relation to chronic heart failure. Atrial fibrillation is a commonly observed arrhythmia in patients with heart failure.

To analyze the relationship more accurately, we need to look at the distribution of the feature "n_r_ecg_p_05" for both the "yes" and "no" classes of chronic heart failure.

Here is the dictionary representing the possible values of the feature "n_r_ecg_p_05" for each target class:

```json
{
	"no": ["no"],
	"yes": ["no", "yes"]
}
```

In this case, the "no" class of chronic heart failure only has the value "no" for the feature "n_r_ecg_p_05". However, the "yes" class of chronic heart failure has the values "no" and "yes" for the feature "n_r_ecg_p_05".

Note: Since the feature description only mentions two categories, "no" and "yes", we have included those specific values in the dictionary. If there are additional values not mentioned in the feature description, they should be included in the dictionary accordingly.