Use this dialog to set options for generating a standard design.
Extra N replicates of the first level
When selected, the first factor level of the selected factor in the dropdown list will be replicated an extra N times (the number specified in the space provided) to give a total of N+1 replicates for every one of the other treatments. In some experiments a certain treatment (for example a standard control) is important and increasing the replication of this treatment over and above the other treatments is useful.
Added control to factorial treatments in
When selected, one of the treatment factors in the main design (specified in the adjacent dropdown list) is used to index a two factor treatment combination with an added control.
To illustrate an added control to factorial treatments example, consider an experiment looking at three rates of application (1,2,3) for two different chemicals (A,B). For the experiment another control treatment is required for the case where no chemical is applied. This now gives 2×3 + 1 = 7 treatment combinations for the experiment. This can be indexed by three factors: Control vs Treated, and two factors for the factorial combination. So, for this experiment the Control vs Treated could be renamed Control (2 level factor), and the rates and chemicals could be called Rate (3 level factor) and Chemical (2 level factor) respectively. The names need to be provided to store the three way down of data in the original treatment column, and to specify the number of levels (L1 and L2) in the two factors which are in combination. The total number of levels in the original factor in the main design will then be set to L1xL2+1.
Generate plot/unit labels
When selected, this will generate labels for the treatment units based on the following settings.
|Default||Generates a text string which has a digit for each stratum of the design|
|100*block+plotno||Generates numerical values indexing plots within blocks|
|Sequential numbers||Generates a series of numbers from 1 to the number of units|
|Column name for labels||Provides a space to specify the name for the column containing the generated labels.|
This specifies which items of output are to be produced by the design.
|Dummy ANOVA table||A dummy ANOVA table giving the degrees of freedom of the treatment factors and the structure of the strata in the design.|
|Trial ANOVA with random data||A complete ANOVA including tables of means will be performed on a randomly generated variate, with the added restriction that the data is scaled so the residual mean square is 1.|
|Design||A plan of the design is displayed.|