Two questions related to boxplot
:
- What are the options for
na.action
? The documentation doesn't list them. - How would I go about answering these types of question in the future?
Two questions related to boxplot
:
na.action
? The documentation doesn't list them.In general, I find the built-in help to be pretty good. You're right though that the help page for boxplot
mentions na.action
without stating what the options are.
In this instance, ?na.action
and -- following on from there -- ?na.omit
explain the possibilities (these are quite general and also apply to things other than boxplot
.)
Handle Missing Values in Objects
Description:
These generic functions are useful for dealing with ‘NA’s in e.g.,
data frames. ‘na.fail’ returns the object if it does not contain
any missing values, and signals an error otherwise. ‘na.omit’
returns the object with incomplete cases removed. ‘na.pass’
returns the object unchanged.
Usage:
na.fail(object, ...)
na.omit(object, ...)
na.exclude(object, ...)
na.pass(object, ...)
Arguments:
object: an R object, typically a data frame
...: further arguments special methods could require.
Details:
At present these will handle vectors, matrices and data frames
comprising vectors and matrices (only).
If ‘na.omit’ removes cases, the row numbers of the cases form the
‘"na.action"’ attribute of the result, of class ‘"omit"’.
‘na.exclude’ differs from ‘na.omit’ only in the class of the
‘"na.action"’ attribute of the result, which is ‘"exclude"’. This
gives different behaviour in functions making use of ‘naresid’ and
‘napredict’: when ‘na.exclude’ is used the residuals and
predictions are padded to the correct length by inserting ‘NA’s
for cases omitted by ‘na.exclude’.
This option helps the R software to ignore missing values during computations and any graph plotting:
na.rm=TRUE
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?na.action
is that it is hard to understand. – Triennium