Information Decomposition of Two-Phase Experiments
Get the Variance Matrices for Two-Phase experiment
Identity Matrix
Construct the Matrix from Information Decomposition
Information Decomposition of Two-phase Experiments
Invert the Information Matrix
Identity Matrix Minus Averaging Matrix
Averaging Matrix
Construct Block Design Matrix
Make Contrast Matrix
Construct Orthogonal Projector Matrices
Construct the Overall Treatment or Block design Matrix
Construct a Projection Matrix
Summarize an Theoretical Analysis of Variance Model of Single-Phase Ex...
Summarize an Theoretical Analysis of Variance Model of Two-Phase Exper...
Get the Fixed Components' coefficients and Efficiency Factors of Singl...
Get the Fixed Components' coefficients and Efficiency Factors of Two-P...
Get the Treatment Coefficients
Convert the R output to Latex Table
Trace of the Matrix
Construct a unity vector
Calculate the Treatment Replication number
Adjust the Effects' Names
Adjust the Missing Levels
Get Variance Components' Coefficients and Mean Squares for Single-Phas...
Get Variance Components' Coefficients and Mean Squares for Single-Phas...
Construct the Matrix from Information Decomposition and Compute the Ef...
Get the Variance Matrices for Single-Phase experiment
The main purpose of this package is to generate the structure of the analysis of variance (ANOVA) table of the two-phase experiments. The user only need to input the design and the relationships of the random and fixed factors using the Wilkinson-Rogers' syntax, this package can then quickly generate the structure of the ANOVA table with the coefficients of the variance components for the expected mean squares. Thus, the balanced incomplete block design and provides the efficiency factors of the fixed effects can also be studied and compared much easily.
Useful links