小编maj*_*sus的帖子

应该很简单，但是我却被这个操作卡住了。我有兴趣提取块边缘数据：23,502 x 3。并指示节点的名称。简而言之，我需要通过名称知道每对节点的权重。

代码：

# A tbl_graph: 11539 nodes and 23502 edges\n#\n# An undirected simple graph with 2493 components\n#\n# Node Data: 11,539 x 3 (active)\n  name            neighbors groups\n  <chr>               <dbl>  <int>\n1 CHANSATITPORN N         1   1540\n2 POBKEEREE V             1   1540\n3 SAINIS G                4    361\n4 HARITOS G               4    361\n5 KRIEMADIS T             4    361\n6 PAPASOLOMOU I           3    361\n# \xe2\x80\xa6 with 11,533 more rows\n#\n# Edge Data: 23,502 x 3\n   from    to weight\n  <int> <int>  <dbl>\n1     1     2      1\n2     3     4      2\n3     3 …

我正在尝试复制以下代码（thomasp85/gganimate）。我有两个问题：

1. 我不想显示第一个的标签（变量：partidos）geom_point；
2. 我希望动画结束后，geom_point会显示最后几秒钟的标签（变量：partidos）。

    dput(polls_)
structure(list(week = structure(c(1551571200, 1551571200, 1551571200, 
1551571200, 1551571200, 1550966400, 1550966400, 1550966400, 1550966400, 
1550966400, 1550361600, 1550361600, 1550361600, 1550361600, 1550361600, 
1549756800, 1549756800, 1549756800, 1549756800, 1549756800, 1549152000, 
1549152000, 1549152000, 1549152000, 1549152000, 1548547200, 1548547200, 
1548547200, 1548547200, 1548547200, 1547942400, 1547942400, 1547942400, 
1547942400, 1547942400, 1547337600, 1547337600, 1547337600, 1547337600, 
1547337600, 1546732800, 1546732800, 1546732800, 1546732800, 1546732800, 
1546128000, 1546128000, 1546128000, 1546128000, 1546128000, 1545523200, 
1545523200, 1545523200, 1545523200, 1545523200, 1544918400, 1544918400, 
1544918400, 1544918400, 1544918400, 1544313600, 1544313600, 1544313600, 
1544313600, 1544313600, 1543708800, 1543708800, 1543708800, …

我收到了这条警告信息.我使用这些数据:

https://github.com/kbenoit/quanteda/tree/master/data/data_char_inaugural.RData

RStudio版本:版本1.0.136 - ©2009-2016 RStudio,Inc.

 library(quanteda)
 uk2010immigCorpus <- corpus(data_char_ukimmig2010, docvars = data.frame(party = names(data_char_ukimmig2010)),metacorpus = list(notes = "Immigration-related sections of 2010 UK party manifestos"))
 mydfm <- dfm(uk2010immigCorpus, remove = c("will", stopwords("english")),removePunct = TRUE)


 Error in validObject(.Object) : invalid class “dfmSparse” object: superclass "replValueSp" not defined in the environment of the object's class

QUANTEDA有什么问题？

谢谢!majesus