Two-Sample Equal Variance t-Test

Two-Sample Equal Variance t-Test

ttest(x, y, alpha = 1/20, alternative = "two.sided", ...)

Arguments

x	a non-empty numeric vector.
y	a non-empty numeric vector.
alpha	value to test hypothesis.
alternative	hypothesis (can take on one of three values).
...	further arguments to be passed to or from methods.

Value

the answers!

Examples

T1 <- ttest(x = rnorm(300.5, 1), y = rnorm(30, 1, 1), alternative = "less")
T1
#> 
#> My Monday Night Modified 2 Sample Equal Variance t-test 
#> 
#> Alternative hypothesis: less 
#> Reject the null hypothesis: FALSE 
#> 
#>    t-stat      d.f. tail.area 
#>   -0.4373  328.0000    0.3311 
print(T1)
#> 
#> My Monday Night Modified 2 Sample Equal Variance t-test 
#> 
#> Alternative hypothesis: less 
#> Reject the null hypothesis: FALSE 
#> 
#>    t-stat      d.f. tail.area 
#>   -0.4373  328.0000    0.3311 
plot(T1)
Mx1x2 <- matrix(rnorm(60, 0, 1), nrow = 30)
class(Mx1x2)
#> [1] "matrix"
TM <- ttest(x = Mx1x2)
TM
#> 
#> My Monday Night Modified 2 Sample Equal Variance t-test 
#> 
#> Alternative hypothesis: two.sided 
#> Reject the null hypothesis: FALSE 
#> 
#>    t-stat      d.f. tail.area 
#>   -0.0569   58.0000    0.9548 
plot(TM)
ttest(x = Mx1x2) # Test that a matrix will work
#> 
#> My Monday Night Modified 2 Sample Equal Variance t-test 
#> 
#> Alternative hypothesis: two.sided 
#> Reject the null hypothesis: FALSE 
#> 
#>    t-stat      d.f. tail.area 
#>   -0.0569   58.0000    0.9548 
mylist <- list(xl = rnorm(30), yl = rnorm(30))
class(mylist)
#> [1] "list"
ttest(x = mylist, alternative = "greater")
#> 
#> My Monday Night Modified 2 Sample Equal Variance t-test 
#> 
#> Alternative hypothesis: two.sided 
#> Reject the null hypothesis: FALSE 
#> 
#>    t-stat      d.f. tail.area 
#>   -0.5129   58.0000    0.6100 
plot(ttest(mylist))