FLOOR ( rank*k/(n+1) ) where rank is the value’s rank, k is the number of groups specified with the GROUPS= option, and n is the number of observations having nonmissing values of the ranking variable. The formula used to calculate the quantile rank of a value is.quantiles, and graphs of standard statistical distributions (to be. (Cut, Copy, Paste, etc.) for editing the contents of the script. We use the cut() function (1.4.10) in concert with the quantile() function (2.1.5) to make the bins, then calculate the observed and expected counts, the chi-square statistic, and finally the associated p-value. r In R, we write a simple function to calculate the statistic and a p-value, based on vectors of observed and predicted probabilities.(2010).Quantile regression for left-truncated semi-competing risks data. Publications : Journal Articles (Statistical Methods-oriented) 1.
