teststyle = mw (Default)
If there are groupby columns, they comprise the UPI. Otherwise, Z is the UPI.
independent = false (Mann-Whitney Test) (Default)| Column |
Data Type |
Description |
| Z |
FLOAT |
Mann-Whitney Z statistic. |
| MannWhitneyPValue |
FLOAT |
Probability associated with Mann-Whitney statistic. |
| MannWhitneyCallP_0.01 |
CHAR |
Mann-Whitney result: - a=accept null hypothesis
- p=reject null hypothesis
|
independent = true (Kruskal-Wallace Test)| Column |
Data Type |
Description |
| Z |
FLOAT |
Kruskal-Wallis Z statistic. |
| ChiSq |
FLOAT |
Kruskal-Wallis Chi-Squared statistic. |
| DF |
INTEGER |
Degrees of freedom. |
| KruskalWallisPValue |
FLOAT |
Probability associated with Kruskal-Wallis statistic. |
| KruskalWallisPText |
CHAR |
Text description of probability if out of table range. |
| KruskalWallisCallP_0.01 |
CHAR |
Kruskal-Wallis result: - a=accept null hypothesis
- p=reject null hypothesis
|
teststyle = friedman
If there are groupby columns, they comprise the UPI. Otherwise, Kendalls_W is the UPI.
| Column |
Data Type |
Description |
| Kendalls_W |
FLOAT |
Kendall's W statistic. |
| Average_Spearmans_Rho |
FLOAT |
Average Spearman's Rho. |
| DF_1 |
INTEGER |
Degrees of freedom for treatments. |
| DF_2 |
INTEGER |
Degrees of freedom for blocks. |
| F |
FLOAT |
2-way ANOVA F statistic on ranks. |
| FriedmanPValue |
FLOAT |
Probability associated with Friedman statistic. |
| FriedmanPText |
CHAR |
Text description of probability if out of table range. |
| FriedmanCallP_0.05 |
CHAR |
Friedman result:- a=accept null hypothesis
- p=reject null hypothesis (positive)
- n=reject null hypothesis (negative)
|
teststyle = wilcoxon
If there are groupby columns, they comprise the UPI. Otherwise, Z_ is the UPI.
| Column |
Data Type |
Description |
| N |
INTEGER |
Variable count. |
| Z_ |
FLOAT |
Mann-Whitney Z statistic. |
| WilcoxonPValue |
FLOAT |
Probability associated with Wilcoxon statistic. |
| WilcoxonCallP_0.05 |
CHAR |
Wilcoxon result:- a=accept null hypothesis
- p=reject null hypothesis (positive)
- n=reject null hypothesis (negative)
|