One-Sample Median Test

hanaml.median.test.1samp is a R wrapper for SAP HANA PAL One-Sample Median Test.

hanaml.median.test.1samp(
  data,
  col = NULL,
  mu = NULL,
  test.type = NULL,
  confidence.interval = NULL,
  thread.ratio = NULL
)

Arguments

data	DataFrame DataFrame containting the data.
col	character, optional Name of the data column that needs to be tested. If it is not given, the input dataframe must only have one column.
mu	double, optional Hypothesized median of the population underlying the sample. Defaults to 0.
test.type	character, optional The alternative hypothesis type. "two.sides" "less" "greater" Defaults to "two.sides".
confidence.interval	double, optional Confidence level for alternative hypothesis confidence interval. Defaults to 0.95.
thread.ratio	double, optional Controls the proportion of available threads that can be used by this function. The value range is from 0 to 1, where 0 indicates a single thread, and 1 indicates all available threads. Values between 0 and 1 will use up to that percentage of available threads.Values outside this range are ignored. Defaults to 0.

Value

Dataframe
Dataframe containing the statistics results from the one-sample test.

Details

This algorithm performs a one-sample nonparametric test to check whether the median of the data is different from the user-specified one.

Examples

Input DataFrame data:

 > data$Collect()
    X1
 1  85
 2  65
 3  20
 ...
 18 40
 19 64
 20  8
 

Call the function:

 > result <- hanaml.median.test.1samp(data)
 

Output:

 > result$Collect()
                              STAT_NAME   STAT_VALUE
 1                         total number 2.000000e+01
 2               number smaller than m0 0.000000e+00
 3                number larger than m0 2.000000e+01
 4                     estimated median 6.150000e+01
 5 CI for estimated median, lower bound 2.700000e+01
 6 CI for estimated median, upper bound 8.300000e+01
 7                    sign test p-value 2.151786e-05