Displaying 5 results from an estimated 5 matches for "imputationmethod".
2009 Sep 09
1
Package that does not work until I re write the exactly the same code
...rizLongData"
# attr(,"package")
# [1] "kml"
getMethod("kml","ClusterizLongData")
# Method Definition:
#
# function (Object, nbClusters = 2:6, nbRedrawing = 20, saveFreq = 100,
# maxIt = 200, trajMinSize = 2, print.cal = FALSE, print.traj = FALSE,
# imputationMethod = "copyMean", distance, power = 2, centerMethod =
meanNA,
# startingCond = "allMethods", distanceStartingCond = "euclidean",
# ...)
#{
# nbIdFull <- nrow(Object["traj"])
# ...... [[[The full code is available below]]]
# }
# <environment: namesp...
2004 Jul 21
1
function ms
Dear R users,
I am using the MICE package. Specifically, at some point in my code I have
imp2=mice(PoptotalMICE,imputationMethod="logreg2")
And R returns...
iter imp variable
1 1 MICEYError in logitreg(xobs, yobs, intercept=F) :
couldn't find function "ms"
I have been looking for this ms function on the web, hoping it was just a matter of downloading a package. I didn't find an...
2012 Oct 19
0
impute multilevel data in MICE
...0
> for(i in 1:5)pred[i,]=c(rep(0,5),rep(2,8),0,0,-2,1,2)
> imp=mice(bhrm,meth=c(rep("2l.norm",5),rep("",8),rep("2lonly.norm",2),"","",""),pred=pred,maxit=10,print=F)
Error in .imputation.level2(y = y, ry = ry, x = x, type = type, imputationMethod = "norm", :
define for 2lonly imputation one and only grouping variable with type=-2
> imp=mice(bhrm,meth=c(rep("2l.norm",5),rep("",8),rep("2lonly.pmm",2),"","",""),pred=pred,maxit=10,print=F)
Error in .imputation.level2(y...
2009 Apr 24
1
Multiple Imputation in mice/norm
I'm trying to use either mice or norm to perform multiple imputation to fill
in some missing values in my data. The data has some missing values because
of a chemical detection limit (so they are left censored). I'd like to use
MI because I have several variables that are highly correlated. In SAS's
proc MI, there is an option with which you can limit the imputed values that
are
2011 Apr 01
0
package MICE, squeeze function, calling several variables at once
...all(is.na(x)))]remove(dfPtemp, dfQtemp)
NewPrimal <- data.frame(c(dfPZ, dfQ, dfP, dfDV), row.names = NULL, check.rows = F, check.names = F) remove(dfPZ, dfQ, dfP, dfDV)
library(mice)# setting up the default settings for the imputationini <- mice(NewPrimal, seed = 52275, imputationMethod = "norm", maxit=0, pred = quickpred(NewPrimal, mincor = 0.25, minpuc = 0.95, include = c("blnNewYearsDay", "blnValentinesDay", "blnStPatricksDay", &qu...