保存并加载data.frames [英] Saving and loading data.frames
问题描述
我已经使用以下形式的一组twitters数据框:
rdmTweets< - userTimeline( rdatamining,n = 200)
df< - do.call(rbind,lapply(rdmTweets,as.data.frame))
现在我以这种方式保存数据框:
保存(df,file =data)
如何加载保存的数据框以备将来使用?当我使用:
df2< - load(data)
/ pre>
,我应用
dim(df2)
它应该返回数据帧具有的tweets数量,但它只显示1。解决方案正如@mrdwab指出的,
save
保存名称以及数据/结构(实际上可以在单个文件中保存多个不同的R对象)。还有另一对存储功能的行为更多,如您所料。尝试这样:saveRDS(df,file =mytweets.rds)
df2< - readRDS( mytweets.rds)
这些函数一次只能处理单个对象。
I have made a dataframe based on a set of twitters in the following form:
rdmTweets <- userTimeline("rdatamining", n=200) df <- do.call("rbind", lapply(rdmTweets, as.data.frame))
Now I am saving the data frame with save in this way:
save(df, file="data")
How I can load that saved data frame for future use? When I use:
df2 <- load("data")
and I apply
dim(df2)
it should return the quantity of tweets that data frame has, but it only shows 1.解决方案As @mrdwab points out,
save
saves the names as well as the data/structure (and in fact can save a number of different R objects in a single file). There is another pair of storage functions that behave more as you expect. Try this:saveRDS(df, file="mytweets.rds") df2 <- readRDS("mytweets.rds")
These functions can only handle a single object at a time.
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