Rank genes according to the value of a statistic.
Select values based on intensities binning.
stat.confband.text(M, A, crit1=0.025, crit2=crit1, nclass=5)
A |
a vector giving the x-coordinates of the points in the scatter plot. In the microarray context, this could be a vector of average log intensities. ie A |
M |
a vector giving the y-coordinates of the points in the scatter plot. In the microarray context, this could be a vector of log intensity ratios. |
crit1 |
The number of points to be selected. If crit1 < 1, the crit1*100% spots with the smallest M values will be selected. If crit1 >= 1, the crit spots with the smallest M values are selected. |
crit2 |
Similar to "crit1". If crit2 < 1, the crit2*100% spots with the largest M values will be selected. If crit2 >= 1, the crit2 spots with the largest M values are selected. |
nclass |
A single number giving the approximate number of intensity depedent groups to consider. |
A vector of selected spot index.
library(marray) data(swirl) aveA <- apply(maA(swirl), 1, mean.na) aveM <- apply(maM(swirl), 1, mean.na) stat.confband.text(aveM, aveA, crit1=20, crit2=50, nclass=5)
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