I need a package that can compute missing values of n-dimensional vectors for n > 2. This is a kind of interpolation, complicated in dimensions higher than 2. The idea is that I have a set of fully specified vectors (i.e., with no missing values) and I get a new vector that has one or more missing attributes; I need to fill in the missing values with values that are, based on the 'training set', representative. EMV appeared to be the solution but it has been taken off CRAN and I can't seem to install the archived version by hand on my Windoz machine. Does anyone know of an alternative to EMV? Thanks, Chris Elsaesser, PhD 703.371.7301 (m) Principal Engineer 703.983.4116 (o) Information Discovery & Understanding The MITRE Corporation McLean, VA
alternative to EMV?
2 messages · Elsaesser, Chris, David Winsemius
If I understand your question and if I understood Dr Harrell's description of the Hmisc/Design packages capabilities, this should all be available. I have been blessed with a dataset so large and with so relatively few missing values that I have not yet needed to put his methods into practice, but you should consider his function transcan in Hmisc.
On Mar 12, 2009, at 8:44 AM, Elsaesser, Chris wrote:
I need a package that can compute missing values of n-dimensional vectors for n > 2. This is a kind of interpolation, complicated in dimensions higher than 2. The idea is that I have a set of fully specified vectors (i.e., with no missing values) and I get a new vector that has one or more missing attributes; I need to fill in the missing values with values that are, based on the 'training set', representative. EMV appeared to be the solution but it has been taken off CRAN and I can't seem to install the archived version by hand on my Windoz machine. Does anyone know of an alternative to EMV? Thanks, Chris Elsaesser, PhD 703.371.7301 (m) Principal Engineer 703.983.4116 (o) Information Discovery & Understanding The MITRE Corporation McLean, VA
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