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Initially, dataset is randomly partitioned into two classes, and the initial means are computed for both the classes.
First, single floor block gaps are filled, and head location means are computed by interpolation from neighboring blocks.
The residuals of all-day annual and monthly means are computed by removing a polynomial fit from their best fitting curves.
Item means are computed for the Necessity and Concerns subscales.
Annualised means are computed for each measure of interest.
The means are computed across countries, forecast periods and forecast variants, but controlling for forecast duration.
Similar(53)
s.e. of means was computed with the lavaan package in R 3.0.3.
First-hit means were computed on this assumption.
For all the other traits, adjusted means were computed.
Least square (LS) means was computed between two replicates of each line for all phenotypic data.
Means were computed for each column for each group and subtracted from the grand mean, resulting in a mean-centered derivation matrix.
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