gausstest | R Documentation |
One and two sample Gauss test for equal mean of normal random variates with known variance.
Gauss.test(x,y=NULL,mean=0,sd=1,alternative = c("two.sided", "less", "greater"))
x |
a numeric vector providing the first dataset |
y |
optional second dataset |
mean |
the mean to compare with |
sd |
the known standard deviation |
alternative |
the alternative to be used in the test |
The Gauss test is in every Text-Book, but not in R, because it is nearly never used. However it is included here for educational purposes.
A classical "htest"
object
data.name |
The name of the dataset as specified |
method |
a name for the test used |
parameter |
the mean and variance provided to the test |
alternative |
an empty string |
p.value |
The p.value computed for this test |
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
t.test
x <- rnorm(100)
y <- rnorm(100)
Gauss.test(x,y)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.