The Interquartile Range

Description

hanaml.IQR is a R wrapper for PAL Inter-Quartile Range.

Usage

hanaml.IQR(conn.context, data, key, col = NULL, multiplier = NULL)

Arguments

Value

list of DataFrame

• DataFrame
  Test results, structured as follows:
  - ID column, with same name and type as data 's ID column.
  - IS_OUT_OF_RANGE, type INTEGER, containing the test results from the IQR test that determine whether each data sample is in the range or not: 0 indicates a value is in the range and 1 indicates a value is out of range.
  

• DataFrame
  including Upper-bound and Lower-bound from the IQR test, structured as follows:
  - STAT_NAME, type NVARCHAR(256), statistics name.
  - STAT_VALUE, type DOUBLE, statistics value.

Examples

## Not run: 
Input DataFrame for clustering:
> data$collect()
     ID  VAL
 1   P1  10
 2   P2  11
 3   P3  10
 4   P4   9
 5   P5  10
 6   P6  24
 7   P7  11
 8   P8  12
 9   P9  10
 10 P10   9
 11 P11   1
 12 P12  11
 13 P13  12
 14 P14  13
 15 P15  12
 Create IQR instance:
 > result <- hanaml.IQR(conn, data, key="ID", multiplier = 1.5)

 Perform fit on the given data:
 >result[[1]]$Collect()
     ID    IS_OUT_OF_RANGE
 1   P1        0
 2   P2        0
 3   P3        0
 4   P4        0
 5   P5        0
 6   P6        1
 7   P7        0
 8   P8        0
 9   P9        0
 10 P10        0
 11 P11        1
 12 P12        0
 13 P13        0
 14 P14        0
 15 P15        0
 
## End(Not run)