This is the principal function in the package. The function takes data, a transformation function name, dimension names, and optional preselection parameter as input, and runs the maximum likelihood optimization on the data, performs the transformation, and returns the transformed data together with a list of transformation paramters for each dimension. The optimization is set to maximize the likelihood of the parameters given the data, such that the transformed data is normally distributed. An optional parameter n2f=[T,F] allows an automated preselection of an approximately bivariate normal population via the norm2Filter function. The transformation parameters are then optimized for this preselected region, and finally applied globally to the entire range of data. The optional argument parameters.only=[T,F] specifies whether to return the parameters or the transformed data.
Print a summary of the contents of a flowTransResult object, including the type of transformation, the transformed data frame, and the transformed dimensions and transformation parameters.
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