LHS:data.table中的RHS与功能

LHS:data.table中的RHS与功能,r,data.table,R,Data.table,为什么函数“:=”不使用“by”聚合唯一行,而LHS:RHS使用“by”聚合唯一行?下面是一个包含20行数据和58个变量的.csv文件。一个简单的复制,粘贴,delim=.csv工作。我仍在努力寻找将样本数据发布到SO的最佳方式。我的代码有两种变体: prodMatrix <- so.sample[, ':=' (Count = .N), by = eval(names(so.sample)[2:28])] 因为:=正在通过引用进行操作。这意味着它不会调用数据集的内存副本,但会就地更

为什么函数“:=”不使用“by”聚合唯一行,而LHS:RHS使用“by”聚合唯一行?下面是一个包含20行数据和58个变量的.csv文件。一个简单的复制,粘贴,delim=.csv工作。我仍在努力寻找将样本数据发布到SO的最佳方式。我的代码有两种变体:

prodMatrix <- so.sample[, ':=' (Count = .N), by = eval(names(so.sample)[2:28])]  

因为
:=
正在通过引用进行操作。这意味着它不会调用数据集的内存副本,但会就地更新数据集。
对数据集进行聚合是其原始未聚合表单的副本。
你可以在vignette中了解更多


这是data.table中的一个设计概念,
:=
用于通过引用进行更新,其他形式-
)、
列表()
或直接表达式用于查询数据。查询数据不是按引用操作。by reference操作无法聚合行,它只能计算聚合并将其放入dataset中。查询能够聚合数据集,因为查询结果在内存中不是与原始数据相同的对象。表。

为什么在“:=”周围加引号?。使用函数形式时需要加上反勾号:=。所以我保留了后面的记号,所以我试着用它们来代替。我不明白你的问题。您是否在问为什么
:=
的行为与文档中的行为相同?关于反勾号,请参阅此处:=的函数形式应产生与LHS:RHS形式相同的结果。然而,在这种情况下,它们不应该这样做,我想知道为什么。@jangorecki,所以for:=操作都不应该进行复制或聚合。这个小插曲我已经读了好几遍了。LHS:RHS和功能表的操作应相同,正确。唯一的区别是函数形式允许您发表一些评论,而且我的理解可能更容易理解。@user3067851添加了澄清,这可能会有所帮助
prodMatrix <- so.sample[, (Count = .N), by = eval(names(so.sample)[2:28])]  
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