Pimphen Charoen

Thank you for your message and for checking carefully. I’ve checked with my clinician colleague, and the reference ranges below are also appropriate to use. You may note that these values can vary slightly between sources, so you can use these ranges for consistency across the dataset and cite the reference accordingly. Hope this helps!

Best,
Pimphen

Thank you for your message and for checking carefully. I’ve checked with my clinician colleague, and the reference ranges below are also appropriate to use. You may note that these values can vary slightly between sources, so you can use these ranges for consistency across the dataset and cite the reference accordingly. Hope this helps!

Best,
Pimphen

Thank you for your message and for checking carefully. I’ve checked with my clinician colleague, and the reference ranges below are also appropriate to use. You may note that these values can vary slightly between sources, so you can use these ranges for consistency across the dataset and cite the reference accordingly. Hope this helps!

Best,
Pimphen

Well done, you worked it out! One of problems that you will come across quite often in R is the format of an input. You need to know which format is required and if your input is not in the correct format, you have to re-format it accordingly. This might involve commands as.vector, as.factor, as.numeric, as.character, as.matrix, etc. Perhaps the…[Read more]

Good questions! Let me ask you a little bit further (and your peers are also very welcome to discuss!).

You are right. For two dimensions, we can simply visualise this in a scatter plot. Do you think how many dimensions we can do visualisation? and when we have many dimensions, is there a way to do so?

Based on the dendrograms from our iris…[Read more]

Great! Another simple approach to calculate a ‘35’ would be to take an average across attributes, e.g. suppose in the raw data, we have 3 attributes: ID.3 shows 10 20 30, ID.5 shows 2 4 6. Therefore, ID.35 would be 6 12 18. Then you can use this ID.35 to calculate distance matrix again for the next clustering.