View source: R/ch.MCbatchOverlapFlex.r
ch.MCbatchOverlapFlex | R Documentation |
This function runs ch.distOverlap for all the combinations of distributions identified in df.combns.
ch.MCbatchOverlapFlex(
values,
items,
itemSet,
df.combns,
numRuns = 1000,
outFile = NULL,
combFun = ch.maxAveComb,
...
)
values |
a vector of the values in the distributions. |
items |
a vector that identifies the item that each value is linked to. |
itemSet |
a vector of items that you want to run the bootstraps for. |
df.combns |
a vector of combinations that identifies the items (by index number of itemSet) whose values should be combined and compared against every other combination in this vector. |
numRuns |
the number of runs to do in the bootstrap. DEFAULT = 1000. |
outFile |
the name of a text file that will be output as the bootstrap runs. This is filled incrementally just in case the program dies. DEFAULT = NULL - will not write a file |
combFun |
If there are multiple items contributing to a single distribution, this function describes how the values will be combined across items in both the X and Y distributions. The function must combine elements of a list that might be of different different lengths. The default just flattens the list into one large vector. DEFAULT = ch.maxAveComb (with probMax = 0.5) |
a dataframe with the overlap statistics for each set of distributions compared. See ch.distOverlap
ch.batchOverlapFlex (data$responses, data$items,itemSet,df.combns,numRuns=1000, outFile ="out.txt" )
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