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This is work absence because of an interruption of work.8 The way that we construct our sample and variables is crucial for the way that we interpret the reasons for interruptions for men and women.
SPSS software (version 15.0, SPSS, Chicago, IL, USA) was used to analyse the sample and variables, and for exploratory factor analysis (EFA).
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As different resilience measurement approaches are rarely used in a single study, little information exists regarding how different methodologies may affect results (whilst holding constant the sample and variable measures).
From these results, the samples and variables can be plotted on a two-dimensional PCA projection (a biplot), not only to group the samples according to their differences, but also to determine relationships between samples and variables.
A random forest (RF) classifier is an ensemble classifier that produces multiple decision trees, using a randomly selected subset of training samples and variables.
As the prefix ' bi-' suggests, both the samples and variables of a data matrix is represented in a biplot.
Every tree in the forest is built using a random subset of samples and variables, hence the name RF.
By representing the variables on a calibrated axes [ 2], sample values can be read-off the axes to reveal relationships between samples and variables.
Already in 1978 Kruskal and Wish [ 6] suggested a regression method for adding linear relationships between the samples and variables in a two dimensional display.
The integration of different datasets and the simultaneous representation of samples and variables together give us a better understanding of biological knowledge.
Therefore the integration of different datasets and the simultaneous representation of samples and variables together give us a better understanding of biological knowledge.
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