Hi guys,
I need an advice from those prominent with missing data in R.
I'm currently trying to apply some packages for imputation in R such as ; mi and mice.
In mi package , i have tried to implement this code:
missing.pattern.plot(CHAIN, gray.scale = TRUE)
However, the error message prompted:
Error: could not find function "missing.pattern.plot"
Then my second attempt in package mice, i could not call the data: nhanes.
Fyi, i installed both R version 3.1.0 and 3.1.3 respectively in my laptop.
I'm using these document for my reference.
1)MICE: Multivariate Imputation by Chained Equations in R
2)Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box
Thank you in advance
Did you install the package and all dependent packages? And did you call require("mi") before calling the function "missing.pattern.plot"?
Check out the package version by using sessionInfo().
Seems that this function is deprecated in the newest version of the "mi" package.
Also see the example in the vignette
http://cran.r-project.org/web/packages/mi/vignettes/mi_vignette.pdf
In the "Amelia" package there is a function called missmap(.) generating missingness maps as well.
http://cran.r-project.org/web/packages/mi/mi.pdf
Thank you vey much Pepijin De vries. i already installed both mi and mice packages in my laptop. I did called but it still failed.
Christine Adrion, thank for the recommended examples..vignette looks remarkable, i would try to apply with my currennt data set
Hello guys,
I guess my reply comes late. Indeed its an issue with the new version of mi. However, I suggest using the function image() instead of missing.pattern.plot(). It should normally work.
Best Wishes,
Ruben
I am looking for a R code for Multiple imputation method for missing data analysis, can anybody help me?
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