Displaying 3 results from an estimated 3 matches for "weihgt".
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2008 Apr 25
1
Summarize data for MCA (FactoMineR)
...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"...
2013 Jan 28
6
Thank you your help.
...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.?
2012 Apr 15
6
CRAN (and crantastic) updates this week
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):