Hello All, I have a matrix with initial values as below and I need to optimize the variables that are greater than 0.
TAU fij fij2 [1,] 14.33375 0.0000000 0.01449572 [2,] 14.33375 0.0000000 0.00000000 [3,] 14.33375 0.0000000 0.00000000 [4,] 14.33375 0.0000000 0.02206446 [5,] 14.33375 0.0000000 0.00000000 [6,] 14.33375 0.0000000 0.00000000 [7,] 14.33375 0.0000000 0.00000000 [8,] 14.33375 0.8279846 0.00000000 [9,] 14.33375 0.0000000 0.03695833 [10,] 14.33375 0.0000000 0.00000000 Or structure(c(14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 14.3337481730129, 0, 0, 0, 0, 0, 0, 0, 0.827984553120177, 0, 0, 0.0144957197835888, 0, 0, 0.0220644627842788, 0, 0, 0, 0, 0.0369583294835073, 0), .Dim = c(10L, 3L), .Dimnames = list(NULL, c("TAU", "fij", "fij2"))) Is it possible to provide lowerbound and upperbound as 0 for variables (< 0 in the initial matrix) and nloptr will consider them "unchanged" during optimization? Rstudio crashes when I try to do that. Is this a bug or I should approach it differently? NM ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.