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The clinical performance of a new method (Kit DPC) for measurement of serum ferritin levels was studied in comparison with a standard reference method (Kit IMMULITE). The precision of the new method was measured by use of a normal range in 168 normal adults and 91 elderly patients with various diseases. The results showed that within-run, between-day and total CVs were 2.6%, 2.9% and 3.1%, respectively. The correlation coefficient between Kit DPC and Kit IMMULITE was 0.919 (P less than 0.01) for normal adults and 0.960 (P less than 0.01) for elderly patients. In order to estimate the accuracy of the new method, several samples of different concentrations and various disease states were analysed. The analytical recovery was 90-110%. The accuracy of the Kit DPC was also studied by use of 594 serum samples in comparison with a reference method. The results revealed a good correlation between Kit DPC and Kit IMMULITE (r = 0.973, P less than 0.01). These results indicate that the Kit DPC is a sensitive, rapid and highly accurate method for estimation of serum ferritin levels.Q:
What does "select_by" mean in Scala?
I'm a bit confused about the usage of select_by in Scala. I've seen it used in DataFrames as:
import org.apache.spark.sql.functions.{col, select_by}
val df = Seq(("A",1), ("B",2)).toDF("A","B")
select_by(col("A"), col("B")).count
df.select_by(col("A")).count
The main difference is the second one gives me a DummyRDD, while the first one doesn't.
What does select_by actually do? It seems it's similar to RDD.map in Python.
A:
SelectBy 0b46394aab
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