search for: weihgt

...uot;), class = "factor"), var2 = structure(c(1L, 1L, 1L, 1L, 2L), .Label = c("B", "D"), class = "factor")), .Names = c("weight", "var1", "var2"), row.names = c(NA, 5L), class = "data.frame") to: y <- structure(list(weihgt = c(5L, 2L), var1 = structure(1:2, .Label = c("A", "C"), class = "factor"), var2 = structure(1:2, .Label = c("B", "D"), class = "factor")), .Names = c("weihgt", "var1", "var2" ), class = "data.frame"...

...served value, strange value and NA. Namely, I am not sure where strange value will be occured. And I can't expect when strange value will be occured. I need the procedure performing like below.? 1. using a method, set the range of variance 2. using for(i) statement, check whether variance(weihgt) is in the range. 3. when variance is out of range, impute weight[i] as NA. Thank you.?

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):