我有一个奇怪的left_join。 -1.0和1.0之间的数字不匹配。
这是左表的类：
> str(standings)
'data.frame': 30 obs. of 9 variables:
$ team : chr "Cleveland Cavaliers" "Toronto Raptors" "Miami Heat" "Atlanta Hawks" ...
$ w : chr "57" "56" "48" "48" ...
$ l : chr "25" "26" "34" "34" ...
$ w/l% : chr ".695" ".683" ".585" ".585" ...
$ conf : chr "east" "east" "east" "east" ...
$ conf_rank: int 1 2 3 4 5 6 7 8 9 10 ...
$ tm_pts : num 104 103 100 103 106 ...
$ op_pts : num 98.3 98.2 98.4 99.2 102.5 ...
$ pt_diff : num 6 4.5 1.6 3.6 3.2 2.7 1.7 0.6 -1.5 -0.5 ...
这是正确的表格：
> str(prob)
Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 4515 obs. of 6 variables:
$ conf_rank: int 1 1 1 1 1 1 1 1 1 1 ...
$ pt_seq : num -15 -14.9 -14.8 -14.7 -14.6 -14.5 -14.4 -14.3 -14.2 -14.1 ...
$ pop_mean : num 6.79 6.79 6.79 6.79 6.79 ...
$ pop_sd : num 1.88 1.88 1.88 1.88 1.88 ...
$ zscore : num -18.6 -18.5 -18.4 -18.3 -18.2 ...
$ prob : num 2.79e-31 5.17e-31 9.57e-31 1.77e-30 3.25e-30 ...
- attr(*, "spec")=List of 2
..$ cols :List of 6
.. ..$ conf_rank: list()
.. .. ..- attr(*, "class")= chr "collector_integer" "collector"
.. ..$ pt_seq : list()
.. .. ..- attr(*, "class")= chr "collector_double" "collector"
.. ..$ pop_mean : list()
.. .. ..- attr(*, "class")= chr "collector_double" "collector"
.. ..$ pop_sd : list()
.. .. ..- attr(*, "class")= chr "collector_double" "collector"
.. ..$ zscore : list()
.. .. ..- attr(*, "class")= chr "collector_double" "collector"
.. ..$ prob : list()
.. .. ..- attr(*, "class")= chr "collector_double" "collector"
..$ default: list()
.. ..- attr(*, "class")= chr "collector_guess" "collector"
..- attr(*, "class")= chr "col_spec"
以下是standings数据框中与prob上的standings$pt_diff无法加入的4行：
> standings %>% anti_join(prob, by = c("pt_diff" = "pt_seq"))
team w l w/l% conf conf_rank tm_pts op_pts pt_diff
1 Portland Trail Blazers 44 38 .537 west 5 105.1 104.3 0.8
2 Detroit Pistons 44 38 .537 east 8 102.0 101.4 0.6
3 Dallas Mavericks 42 40 .512 west 6 102.3 102.6 -0.3
4 Houston Rockets 41 41 .500 west 8 106.5 106.4 0.1
知道为什么standings$pt_diff中唯一不匹配的数字是-1和1之间的数字？我想我可能会遗漏一些东西，但我不确定。