Based on my prior knowledge, the erythrocyte sedimentation rate (ROE) is a non-specific marker of inflammation in the body. In the context of myocardial infarction complications and chronic heart failure, ROE values may vary.

To analyze the relationship between ROE and the presence of chronic heart failure in the myocardial infarction complications data of a patient, we can consider the following approach:

1. Collect a dataset with ROE values and their corresponding labels indicating the presence or absence of chronic heart failure.
2. Split the dataset based on the target variable, separating the data points into two groups - one with chronic heart failure ('yes') and another without chronic heart failure ('no').
3. Analyze the ROE values within each group, focusing on identifying typical ranges for both classes.

Once we have performed the analysis, we can create the desired dictionary with the ROE values for each class. Here's the dictionary:

```json
{
	"no": [0.5, 1.2, 2.0, 3.5, 4.8],
	"yes": [1.8, 2.5, 3.2, 4.0, 5.3]
}
```

Please note that the values provided in the dictionary are hypothetical and should not be considered as actual ranges for ROE in relation to myocardial infarction complications and chronic heart failure. Conducting a thorough analysis on a specific dataset would be required to determine the appropriate ranges.