RMA: Repeated Measurements Analysis
In andresfpc/AMUN: Analisis Multivariado Universidad Nacional de Colombia (AMUN)

Description Usage Arguments Value Author(s) References Examples

Most of the time data collated in repeated measurements consists of groups of repetition of the same response at different times under varying experimental conditions. It tests the equal mean response by using the T square of Hotelling and uses simultaneous test and confidence intervals. The multinormal model of 2p variables is assumed.

RMA(dat)

dat

a matrix with n measurements which are written in the columns, and in the rows the repeated measurements are written.

`pValue`	P value in single analysis of Repeated measurements
`tCalc`	Computed t statistic

Jesus Gonzalez <jmgonzalezf@unal.edu.co>, Andres Palacios <anfpalacioscl@unal.edu.co>, Campo Elias Pardo <cepardot@unal.edu.co>

Morrison, D. F. (2005), Multivariate statistical methods, Series in Probability and Statistics, 4 edn, McGraw-Hill, New York.

dat <- matrix(c( 2.50, 2.92,
                 3.32, 3.49,
                 3.00, 3.15,
                 3.21, 3.13,
                 2.65, 2.74,
                 2.33, 2.26), ncol = 2, byrow = TRUE)
                 
RMA(dat = dat)