Independent sample TTest

hanaml.TTestInd is a R wrapper for SAP HANA PAL T Test.

hanaml.TTestInd(
  data,
  cols = NULL,
  mu = NULL,
  test.type = NULL,
  var.equal = NULL,
  conf.level = NULL
)

Arguments

data

DataFrame
DataFrame containting the data.
cols

character, optional
Names of the two columns for independent T-test.
No default value.
If not specified, then data must only have two columns, otherwise an error shall be issued.
mu

double, optional
Hypothesized mean 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'.
var.equal

logical, optional
Controls whether to assume that the two samples have equal variance.
Defaults to FALSE.
conf.level

double, optional
Confidence level for alternative hypothesis confidence interval.
Defaults to 0.95.

Value

Dataframe
Statistics of the independent sample T-test.

Details

It is a statistic procedure used to determine whether the mean difference between two unrelated groups is equal to a given value.

Examples

Input DataFrame data:

 > data$Collect()
   X1 X2
 1  1 10
 2  2 12
 3  4 11
 4  7 15
 5 NA 10

Call the function:

 > result <- hanaml.TTestInd(data)

Output:

 > result$Collect()
           STAT_NAME   STAT_VALUE
 1           t-value  -5.01377413
 2 degree of freedom   5.64975672
 3           p-value   0.00287491
 4     _PAL_MEAN_X1_   3.50000000
 5     _PAL_MEAN_X2_  11.60000000
 6  confidence level   0.95000000
 7        lowerLimit -12.11327798
 8        upperLimit  -4.08672202