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First, log ratio base 2 transformation was used to transform the data.
Because the cortisol levels were not normally distributed, the aligned rank transformation method was used to transform the data prior to conducting ANOVA [ 42].
If not normal we attempted to transform the data using Box-Cox transformations.
One way to obtain equal variance from gene to gene is to transform the data, usually with a logarithmic transformation.
One way of dealing with this kind of problem would be to transform the data, e. g., by a log or log-log transformation.
The second is data-model workflows that transform the data workflow results to model inputs.
Then, it will run sorting algorithm to transform the data into time-series data.
Cognos Framework Manager was used to transform the data into cubes.
However, it is possible to transform the data so that at least an approximately normal distribution is attained.
The received signal vector is sampled and the DFT algorithm is used to transform the data into the frequency domain.
This is empirical evidence on the use of DFMs when we do not transform the data to stationarity.
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