两个相关问题boxplot:
- 有哪些选择
na.action？文档没有列出它们。
- 将来我将如何回答这些类型的问题？
总的来说，我发现内置的帮助非常好。你是对的，虽然帮助页面boxplot提及na.action没有说明选项是什么。
在这种情况下，?na.action然后——接下来——?na.omit解释可能性（这些都是非常普遍的，也适用于除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’.
本文内容由网友自发贡献，版权归原作者所有，本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容，请联系:hwhale#tublm.com(使用前将#替换为@)
