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Average of all values in the data.
3. Median of all values in the data.
2. Standard deviation of all values in the data.
It deals, moreover, with the problem of missing values in the data set.
Are there missing values in the data, and how common are they?
The gain values in the data sets originate from real measurements.
The values in the data subcarriers are collected in vector and fed to the decoding block.
Additionally, it recognises neither empty values nor zero values in the data; this affects processing.
Missing values in the data set were replaced by their condition mean values.
Centering a predictor merely entails subtracting the mean of the predictor values in the data set from each predictor value.
After analysis, store the highest and lowest degradation values in the data source for each track section.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com