| OneSampleHT2 {MVTests} | R Documentation |
One Sample Hotelling T^2 Test
Description
OneSampleHT2 computes one sample Hotelling T^2 statistics and gives
confidence intervals
Usage
OneSampleHT2(data, mu0, alpha = 0.05)
Arguments
data |
a data frame. |
mu0 |
mean vector that is used to test whether population mean parameter is equal to it. |
alpha |
Significance Level that will be used for confidence intervals.
|
Details
This function computes one sample Hotelling T^2 statistics that is used to
test whether population mean vector is equal to a vector given by a user.
When H0 is rejected, this function computes confidence intervals
for all variables.
Value
a list with 7 elements:
HT2 |
The value of Hotelling T^2 Test Statistic |
F |
The value of F Statistic |
df |
The F statistic's degree of freedom |
p.value |
p value |
CI |
The lower and upper limits of confidence intervals obtained for all variables |
alpha |
The alpha value using in confidence intervals |
Descriptive |
Descriptive Statistics |
Author(s)
Hasan BULUT <hasan.bulut@omu.edu.tr>
References
Rencher, A. C. (2003). Methods of multivariate analysis (Vol. 492). John Wiley & Sons.
Tatlidil, H. (1996). Uygulamali Cok Degiskenli Istatistiksel Yontemler. Cem Web.
Examples
data(iris)
mean0<-c(6,3,1,0.25)
result <- OneSampleHT2(data=iris[1:50,-5],mu0=mean0,alpha=0.05)
summary(result)