ARTool for Windows Publisher's description
from AIM Research Group
ARTool takes a comma-delimited (*.csv) file as input.
ARTool takes a comma-delimited (*.csv) file as input. This file must represent a long-format data table (one Y response per row, in the last column). The first row should be column names. The first column should be the experimental unit, e.g., Subject (i.e., s01, s02, s03, etc.). This column is not currently used in the mathematical calculations, but is useful for clarity when reading the output, and for retaining in repeated measures designs where the same experimental unit is listed on multiple rows. The last column must be the sole numeric response (Y) from the original data. Every column in between S and Y represents one factor (Xn) from the experiment. All possible main effects and interactions are given a new column in the output.
The alignment process used is that for a completely randomized design. This can result in reduced power for other designs like split-plots, as described in Higgins et al. (1990). But this is the simplest and most easlily generalized algorithm to implement. As it may only reduce power, any significant results can be trusted. For more on this issue, see Higgins et al. (1990) and Higgins & Tashtoush (1994).
The output of ARTool is a new comma-delimited (*.csv) file with a custom extension, e.g., *.art.csv, appended to its name. This file will have, for each effect, an "aligned" column showing the aligned data (Yaligned) and an "ART" column (Yart), showing the averaged ranks applied to the corresponding aligned column. As the original table's columns are retained, the output data table will have (2+N) + 2*(2N-1) columns. A verification step is automatically performed by ARTool to ensure that each aligned column sums to zero. Users of ARTool can perform a further sanity check by running a full-factorial ANOVA on the aligned columns. All effects other than the one for which the column was created should be close to, if not exactly, F=0.00 and p=1.00.
The long-format *.csv file produced by ARTool can be opened directly by Microsoft Excel. From there, the data can be copied-and-pasted into one's favorite statistics package. At that point, a traditional ANOVA can be run on the ART columns using the full-factorial model, and interpreting the effects only for their relevant columns. Alternatively, the long-format table can be directly used by most statistical packages in a mixed-effects model analysis of variance using the REstricted (or REsidual) Maximum Likelihood method (REML). In this case, the experimental unit, e.g., Subject, should be made a random effect, leaving the other factors as fixed effects. In SAS, the well-known command for this is PROC MIXED (see Littell et al. 1998).
System Requirements:В· Microsoft .NET 2.0 Framework or later
Program Release Status: New Release
Program Install Support: Install and Uninstall