TwoSamplesMeans {SAP} | R Documentation |
Hypothesis tests for two means
Description
Tests for means of two independent or paired groups.
Usage
TwoSamplesMeans(
x,
y,
var.equal = FALSE,
H1 = "two.sided",
xvar = NULL,
yvar = NULL,
paired = FALSE
)
Arguments
x |
a numeric vector for the data of the first group. |
y |
a numeric vector for the data of the second group. |
var.equal |
a logical variable indicating whether to treat the two variances as being equal |
H1 |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), |
xvar |
a numeric value for the variance of the first group |
yvar |
a numeric value for the variance of the second group |
paired |
a logical indicating value whether you want |
Details
TwoSamplesMeans
function performs hypothesis
tests on means of independent or paired two
groups. Moreover, this function can decide whether it
will use a parametric or non-parametric test.
Value
a list with 3 elements:
statistic |
the value of the test statistic |
df |
If it is available, the degree of freedom for the test statistic |
p.value |
the p-value for the test |
test |
a character string indicating which method was used |
Author(s)
Hasan BULUT <hasan.bulut@omu.edu.tr>
Examples
x<-c(10, 25, 35, 40, 70, 60, 50, 70, 65, 25)
y<-c(30, 20, 60, 70, 50, 90, 80, 65, 75, 60)
TwoSamplesMeans(x = x,y = y,H1 = "two.sided")