Displaying 3 results from an estimated 3 matches for "datamiss".
2011 Jul 18
1
Missing values and geeglm
Dear all
I am struggling with how to deal with missing values using geeglm. I know
that geeglm only works with complete datasets, but I cannot seem to get the
na.omit function to work. For example
assuming DataMiss contains 3 columns, each of which has missing
observations, and an id column with no missing info then identifies the
clusters.
Outcome: 2 level integer
Predictor: numeric variable
Confounder: 3 level integer
If I "manually" remove the missing values then run the model, there is no
pro...
2007 Dec 15
1
modify a data.frame within a function
...n, so I suspect the problem is the call of the single column within the function.
removedata<-function(datafull,var.removed)
{
attach(datafull)
NArandom<-rnorm(n=length(var.removed), mean=0, sd=1)
for (i in 1:length(var.removed))
if(NArandom[i]>0)
var.removed[i]<-"NA"
datamiss<<-datafull
detach(datafull)
}
-- Yuval Sapir, PhDResearcherInstitute of Evolution, Haifa UniversityHaifa, Israel 3190
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2012 Mar 02
1
Vector errors and missing values
...regression error:
Error in pmax(eta, -thresh) : cannot mix 0-length vectors with others
The dataset that I am using has some missing data. R puts NA values in place
of the missing values. I am not sure if this is what is causing my vector
problems or not. I have tried to use the 'data=na.omit(DataMiss)' in my glm
as well as the command: 'na.action=na.exclude', but I am not sure if I am
using the correct syntax because it is not working.
Any help would be most appreciated.
--
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