Question

下面是我创建一个空数据框的方法，我打算从数据源一次填充1行。

numTweets=31
finalDataFrame = as.data.frame( matrix(NA, numTweets-1, 23), stringsAsFactors=FALSE)        
names(finalDataFrame) = c( "TweetID", "TweetTime", "Text", "Source",
                        "UserID", "Username", "Screenname", "FollowerCount", "FriendCount",
                        "Location", "Latitude", "Longitude", "ReplyTweetID", "ReplyUserID", 
                        "ReplyScreenname", "RetweetID", "RetweetCreated", "RetweetUsername",
                        "RetweetScreename", "RetweetLocation", "RetweetFollowers", "RetweetFriends",
                        "RetweetSource" )

我插入的一行示例也在下面

print( thisRow, row.names=FALSE )
TweetID                      TweetTime                                                                                                                                     Text
 877010425019158529 Tue Jun 20 03:49:14 +0000 2017 @OmniDestiny I would recommend trying to find the facebook group for evergreen because i think their school facebook page got shut down.
                                                             Source             UserID Username Screenname FollowerCount FriendCount     Location Latitude Longitude       ReplyTweetID ReplyUserID ReplyScreenname RetweetID
 <a href="http://twitter.com" rel="nofollow">Twitter Web Client</a> 843603187298779137   Albert   HellhoyZ             4          72 Bellevue, WA        0         0 876742560328417281  4726147296     OmniDestiny        NA
 RetweetCreated RetweetUsername RetweetScreename RetweetLocation RetweetFollowers RetweetFriends RetweetSource
             NA              NA               NA              NA               NA             NA            NA

所以，这一行看起来非常精细，我创建的数据框用于存储它看起来很好。但是，当我尝试将其复制到...时

## Z minus 1 since we started our loop at 2
finalDataFrame[z-1, ] = thisRow

许多价值观变得奇怪。例如，thisRow完全显示ReplyTweetID值（int64值）为876742560328417281，但是当我在finalDataFrame中的R中查看它时....

finalDataFrame[1, "ReplyTweetID" ]
[1] 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000046816189162956993
>

我不确定是什么能引起这种剧烈的变化。有任何想法吗？

编辑：我很确定它必须是因为值是int64，并且Matrix不喜欢它。但是，有没有办法为此准备Matrix？当我首先制作“thisRow”时，我可以选择toString（IDVALUEHERE），但这似乎不应该是必要的。

R - 复制到Row时的舍入错误

0 个答案: