row_unique

An 'a_matrix' of the first design (D1)

a_matrix

The treatments of the second design (D2)

treatments

Number of rows in the given 'a_matrix'

rows

Number of columns in the given 'a_matrix'

cols

The row_unique function checks whether each row contains unique treatments.

The Row-column designs are widely recommended for experimental situations when there are two well-identified factors that are cross-classified representing known sources of variability. These designs are expected to result a gain in accuracy of estimating treatment comparisons in an experiment as they eliminate the effects of the row and column factors. However, these designs are not readily available when the number of treatments is more than the levels of row and column blocking factors. This package named 'iRoCoDe' generates row-column designs with incomplete rows and columns, by amalgamating two incomplete block designs (D1 and D2). The selection of D1 and D2 (the input designs) can be done from the available incomplete block designs, viz., balanced incomplete block designs/ partially balanced incomplete block designs/ t-designs. (Mcsorley, J.P., Phillips, N.C., Wallis, W.D. and Yucas, J.L. (2005).<doi:10.1007/s10623-003-6149-9>).

row_unique: Checks uniqness of elements in the rows of a matrix

Description

Usage

Arguments

Value

Details