MVTests (version 1.1)

OneSampleHT2: 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. default alpha=0.05.

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

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.

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

# NOT RUN {
data(iris)

mean0<-c(6,3,1,0.25)
result <- OneSampleHT2(data=iris[1:50,-5],mu0=mean0,alpha=0.05)
summary(result)
# }