Five BASIC programs to select random samples from populations or to randomize treatments are presented. Program 1 is used to obtain randomization of any number of treatments in an equal number of positions or test units for any number of replicates. Program 2 produces latin squares of any size for t
Randomization algorithms in BASIC for experimental design
β Scribed by John A. Byers
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 914 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0010-4825
No coin nor oath required. For personal study only.
β¦ Synopsis
Six BASIC programs for randomization of treatments with respect to space and time are presented. Program 1 is used to obtain randomization of several treatments in an equal number of positions for any number of replicates such that identical treatments are not replicated successively in the same position. Program 2 randomly assigns different treatments as specified in a grid of any size either (a) without constraints or (b) so that similar treatments do not occur next to each other either horizontally or vertically, or (c) horizontally, vertically, or diagonally. Program 3 assigns from five to 100 different treatments in equal proportions to a grid of specified size with treatments separated as in Program 2 (c) above. Program 4 randomly assigns any number of different treatments in equal proportions to a Latin square-like grid containing row and column cells with a multiple number of the treatments such that no identical treatments are replicated successively in the same row, column, or both row and column. Program 5 produces Latin squares of letters with unique numbered subscripts randomized. Program 6 makes Greco-Latin squares with an odd number of letters per side. These programs will aid in randomization of treatments within positions and replicates when a degree of uniformity or spacing of treatments is desired in order to increase the power of statistical tests. Examples of program output are discussed for tests with bark beetle pheromone components. BASIC Algorithms Randomization Sampling Experimental design Scolytidae Pheromone
π SIMILAR VOLUMES
## Abstract We present an __O__(__n__ log^4^__n__)βtime randomized algorithm for gossiping in radio networks with unknown topology. This is the first algorithm for gossiping in this model whose running time is only a polylogarithmic factor away from the optimum. The fastest previously known (determ