Dear R people I ask again 1. Is there a published reference presenting the normal score transformation? Is there a published paper (in any field) using that transformation in the analysis of data? And this is a new question 2. The ?outliers? library has a function called ?rm.outlier?. It offers the option of either removing one outlier (the largest or the smallest) or replacing the identified outlier by the mean or median of the data. Does anyone know of a published paper introducing that particular approach (replacing the outlier by the group?s mean/median)? Cheers Fer
transformation and outliers
2 messages · Fernando Marmolejo Ramos, Peter Dalgaard
Fernando Marmolejo Ramos wrote:
Dear R people I ask again? 1. Is there a published reference presenting the normal score transformation? Is there a published paper (in any field) using that transformation in the analysis of data?
Dunno, but I'd search for "Normal Scores Test", AKA van der Waerden's Test, in books dealing with nonparametric tests. It comes out in a natural way as the score test in a model where you assume that you have normally distributed data with a location shift, but transformed by an unknown monotone transformation.
O__ ---- Peter Dalgaard ?ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907