This function creates scatterplot matrices for the different probabilistic indices (PI) P_t , P_{tt'} and P_{tt't''} computed for different variables.
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X |
Matrix or vector with observations. Each column is a variable, each row an individual. |
g |
Vector of group labels for observations in |
type |
Type of probabilistic index, see details. |
goi |
Groups of Interest, see details. |
mc |
Set the amount of cores to use for parallel calculation (only available for Linux). |
order |
Boolean, calculate PI only for natural order or for all combinations. |
alg |
Internal function, which implementation should be used to calculate the PI. |
col |
Vector of colors of the scatterplot. |
highlight |
Vector with positions, which are marked in special color. |
hlCol |
Color of highlighted spots. |
pch |
Dot type of the plot. |
zoom |
Logical, shall the plots be zoomed to interesting areas? |
... |
Additional plotting arguments. |
This function creates the scatterplot matrices for the PI, in case that they haven't
been calculated previoulsy. This means that all arguments of the estPI
are valid here, since
this function is called first and the results will then be passed to the plot function of the estPI
object.
See also plot.estPI
for further details on the specific plot parameters.
Daniel Fischer
Fischer, D., Oja, H., Schleutker, J., Sen, P.K., Wahlfors, T. (2013): Generalized Mann-Whitney Type Tests for Microarray Experiments, Scandinavian Journal of Statistic, to appear.
Fischer, D., Oja, H. (2013): Mann-Whitney Type Tests for Microarray Experiments: The R Package gMWT, submitted article.
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