I am aware of
table(is.na(df$var))
but is there an efficient way of create a table that shows the number of
missing values in each variable of a data frame?
Right now I am forced to create a new variable, varna-is.na(df$var), for
each variable of the data frame, bind them to a new data frame
On 2/25/2008 8:59 AM, Angelo Passalacqua wrote:
I am aware of
table(is.na(df$var))
but is there an efficient way of create a table that shows the number of
missing values in each variable of a data frame?
Right now I am forced to create a new variable, varna-is.na(df$var), for
each
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