The arcsine data transformation can include input from vectors, and data frames as long as the independent variable and dependent variable values are numeric and in the correct range- no negative numbers, in a linear model, etc. Examples of the transformation in action. This does, however, result in a limitation that the input value needs to be in the range of zero to one. ![]() ![]() This stretching in the transformed data is even more significant when the independent variable or dependent variable value is close to one or zero. This simple example illustrates the results of this combination arcsine transform formula in that it expands 0.5 to 0.7853982. This inverse action expands the variable range while squishing it towards the center making the extremes easier to see. ![]() In this case, we are using the inverse sine or arcsin. The arcsine transform function is similar to the logit transformation or log transformation in that it makes some statistical elements, such as logistic regression easier to see.
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