[R] missForest to impute missing values

[saskay]

Hi,
I have a 1,785,421 rows x200 variables dataset with some missing values.
Approximately 55% of 1,785,421x200 are missing cells.
In this
ftp://ftp.stat.berkeley.edu/pub/users/breiman/Using_random_forests_v4.0.pdf
document , it is claimed that random forests can impute with great accuracy
even with *80% * of the data missing.

Now when it says 80% missing, does it mean that 80% of x rows x y variables
missing cells can be imputed?.

Also can missForest or randomForest's impute function cope with same level
i.e.,impute 80% missing data.

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