1 package net.tz.spss |
1 package net.tz.spss |
2 |
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3 import net.tz.spss.SpssVariable.DoubleRange |
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4 import com.bedatadriven.spss.{SpssVariable => JVar} |
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5 |
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6 import scala.collection.JavaConverters._ |
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7 import scala.language.postfixOps |
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8 |
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9 case class SpssVariable(name: String, shortName: String, isNumeric: Boolean, |
3 case class SpssVariable(name: String, shortName: String, isNumeric: Boolean, |
10 index: Int, label: String, |
4 index: Int, label: String, |
11 missingRange: Option[DoubleRange] = None, |
5 missingRange: Option[DoubleRange] = None, |
12 missing: List[Double] = Nil, |
6 missing: List[Double] = Nil, |
13 missingStrings: List[String] = Nil, |
7 missingStrings: List[String] = Nil, |
14 labels: Map[Double, String] = Map()) |
8 labels: Map[Double, String] = Map()) |
15 |
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16 object SpssVariable { |
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17 type DoubleRange = (Double, Double) |
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18 |
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19 def apply(v: JVar): SpssVariable = SpssVariable( |
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20 name = v.getVariableName, |
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21 shortName = v.getShortName, |
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22 isNumeric = v.isNumeric, |
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23 index = v.getIndex, |
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24 label = v.getVariableLabel, |
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25 missingRange = if (v.isHasMissingRange) |
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26 Some((v.getMissingMin.doubleValue(), v.getMissingMax.doubleValue())) |
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27 else None, |
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28 missing = v.getMissing.asScala.map(_.doubleValue()).toList, |
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29 missingStrings = v.getMissingStrings.asScala.toList, |
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30 labels = v.getValueLabels.asScala.map { case (k,x) => |
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31 (k.doubleValue(), x) } toMap) |
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32 } |
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