----------------------------------------------------------------- N_ANOVA.PRG 2.5 (C) N_Software - Noud van Kruysbergen 24/02/93 ----------------------------------------------------------------- N_ANOVA allows you to do an AN(alysis) O(f) VA(riance) on your data. Usually you have two or more conditions or groups between which, you hope (or not), is a difference. Statistical analysis of the variance of the results will show the significance of this difference. If you know what I am talking about then maybe you can use this program. If you don't know what I am talking about then just delete N_ANOVA. N_ANOVA can do 1-way, 2-way or 3-way ANOVA. The input file needs a special format: 1-way analysis line 1: number of levels for variable R and a short (max 80 characters) description. line 2: number of subjects/measures (n) for each cell. next n values: results for first level of variable R. next n values: results for second level of variable R, and so on. 2-way analysis line 1: number of levels for variable R and a short (max 80 characters) description. line 2: number of levels for variable C and a short (max 80 characters) description. line 3: number of subjects/measures (n) for each cell. next n values: results for first level of variable R (R1) and first level of variable C (C1). next n values: results for first level of variable R (R1) and first level of variable C (C2), and so on. next n values: results for first level of variable R (R2) and first level of variable C (C1). next n values: results for first level of variable R (R2) and first level of variable C (C2), and so on. 3-way analysis line 1: number of levels for variable R and a short (max 80 characters) description. line 2: number of levels for variable C and a short (max 80 characters) description. line 3: number of levels for variable L and a short (max 80 characters) description. line 4: number of subjects/measures (n) for each cell. next n values: results for R1-C1-L1. next n values: results for R1-C2-L1, and so on. next n values: results for R2-C1-L1. next n values: results for R2-C2-L1, and so on. next n values: results for R1-C1-L2. next n values: results for R1-C2-L2, and so on. next n values: results for R2-C1-L2. next n values: results for R2-C2-L2, and so on, and so on. Click on the '1-way' button or press + to do a 1- way analysis. The data file is asked for (with a DA1) extension, and the results will be shown. These results can be saved as. Click on 'Save' and the output file is asked for (preset to INPUT.VA1). Besides the F-values the SS and MS and variable means are given in the output file. The same procedure holds for doing a 2- or 3-way analysis. If you want to convert a 3-way analysis data file (DA3) to a 2-way analysis data file (DA2) you can select '3->2'. The DA3 file is asked for, and the DA2 file is then automatically created, after an alert has been given that asks yo which dimension of the data has to be neglected. The DA2 file can then again be converted to a DA1 file if you like. N_ANOVA should work on any Atari compatible machine, and the dialogs of N_FLYLIB are used. The dialogs do not appear in a window (yet). We do not take any responsibility for the (mis)use of this program. N_ANOVA is developed with Pure C 1.0. N_ANOVA is strictly Public Domain, and may not be sold, only copied! Click on the 'N_ANOVA 2.5' string to get more informa- tion. Noud van Kruysbergen Nijmegen Institute of Cognition and Information PO Box 9104 6500 HE Nijmegen The Netherlands kruysbergen@nici.kun.nl Example of 3-way ANOVA data file: ----------------------------------------------------------------- 2 environment: free/restricted 3 strain: bright/mixed/dull 2 early blinded/late blinded 6 subjects 27 45 76 22 18 33 31 52 86 37 45 66 55 76 104 62 85 126 55 81 36 40 50 70 77 98 42 76 68 104 132 96 89 104 70 142 61 76 46 39 60 59 61 82 103 71 92 105 140 99 68 122 92 101 88 95 51 92 103 73 100 120 89 120 131 76 142 96 80 150 105 125 N_ANOVA output of this datafile: ---------------------------------------------------------------------------- D:\PURE.C\EXAMPLE.VA3 03/05/94 13:12:17 D:\PURE.C\EXAMPLE.DA3 03/05/94 11:14:13 R: 2 environment: free/restricted C: 3 strain: bright/mixed/dull L: 2 early blinded/late blinded n: 6 subjects Layer 1 Column: 1 2 3 Row 1: 36.83 52.83 84.67 Row 2: 55.33 77.50 105.50 Layer 2 Column: 1 2 3 Row 1: 56.83 85.67 103.67 Row 2: 83.67 106.00 116.33 Mean for Row 1: 70.08 Mean for Row 2: 90.72 Mean for Column 1: 58.17 Mean for Column 2: 80.50 Mean for Column 3: 102.54 Mean for Layer 1: 68.78 Mean for Layer 2: 92.03 SS df MS F Rows: 7667.3472 1 7667.3472 15.9906 Columns: 23630.0278 2 11815.0139 24.6407 Layers: 9730.1250 1 9730.1250 20.2926 R*C: 136.1944 2 68.0972 0.1420 R*L: 8.6806 1 8.6806 0.0181 C*L: 751.7500 2 375.8750 0.7839 R*C*L: 223.6944 2 111.8472 0.2333 Within: 28769.5000 60 479.4917 1.0000 ----------------------------------------------------------------------------