read.spss后如何访问R data.frame列描述 [英] How to access R data.frame column descriptions after read.spss

问题描述

我已经使用库外部read.spss函数导入了SPSS .sav文件。

I have imported an SPSS .sav file using the library foreign read.spss function.

dataset = read.spss("data.sav", to.data.frame=TRUE)

我想访问列说明但无法解决如何以编程方式访问它们的问题。我可以在RStudio的数据查看器中的粗体列名称下面的标题中看到这些内容。

I want to access the column descriptions but can't work out how to access them programmatically. I can see these in the data viewer in RStudio, in the header just below the bold column names.

此处的图片： http://i.stack.imgur.com/PgIO5.png

推荐答案

最好使用read_sav 函数导入数据project.org/web/packages/haven/index.html rel = noreferrer> haven 包（Hadley Wickham的另一个很棒的包）。

You may be better off importing the data using the read_sav function from the haven package (another great package from Hadley Wickham).

dd <- read_sav("SomeFile.sav")

head(dd)[,1:10]

methods(as_factor)
table(dd$District)
class(dd$District)
class(dd$Date)
lapply(dd, class)   # some variables have labels and others don't
lapply(dd, class) %>% head

带有标签的变量具有显示其变量标签（ label）和它们的值标签（标签）

The 'labelled' variables have attributes to show their variable label ('label') and their value labels ('labels')

dd$Region
attributes(dd$Region)

您可以阅读变量标签：

You can read a variable label:

attr(dd$Region, 'label')

您可以更改变量标签：

You can change a variable label:

attr(dd$Region, 'label') <- 'a new label for Region'
attr(dd$Region, 'label')

与价值标签相同

same for value labels

attr(dd$Region, 'labels')

到chan ge名称，您需要更改属性的名称

to change the names, you need to change the 'names' of the attribute

names(attr(dd$Region, 'labels')) <- c("NE","Nyanza","West")
attr(dd$Region, 'labels')

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