我想合并两个data.frames
在一起,基于它们的每个名称series_id
共同的列名称。这里是我的MERGE语句:如何合并两个data.frame在R中,引用一个查找表
merge(test_growth_series_LUT, test_growth_series, by = intersect(series_id, series_id))
我得到的错误是
错误as.vector(Y):对象series_id'未找到
帮助给这个描述,但我看不出为什么它找不到series_id
。示例数据如下。
### S3 method for class 'data.frame':
#merge(x, y, by = intersect(names(x), names(y)),
# by.x = by, by.y = by, all = FALSE, all.x = all, all.y = all,
# sort = TRUE, suffixes = c(".x",".y"), ...)
# Create a long data.frame to store data...
test_growth_series = data.frame ("read_day" = c(0, 3, 9, 0, 3, 9, 0, 2, 8),
"series_id" = c("p1s1", "p1s1", "p1s1", "p1s2", "p1s2", "p1s2", "p3s4", "p3s4", "p3s4"),
"mean_od" = c(0.6, 0.9, 1.3, 0.3, 0.6, 1.0, 0.2, 0.5, 1.2),
"sd_od" = c(0.1, 0.2, 0.2, 0.1, 0.1, 0.3, 0.04, 0.1, 0.3),
"n_in_stat" = c(8, 8, 8, 8, 7, 5, 8, 7, 2)
)
# Create a name LUT
test_growth_series_LUT = data.frame ("series_id" = c("p1s1", "p1s2", "p3s4", "p4s2", "p5s2", "p6s2", "p7s4", "p8s4", "p9s4"),"description" = c("blah1", "blah2", "blah3", "blah4", "blah5", "blah6", "blah7", "blah8", "blah9")
)
> test_growth_series
read_day series_id mean_od sd_od n_in_stat
1 0 p1s1 0.6 0.10 8
2 3 p1s1 0.9 0.20 8
3 9 p1s1 1.3 0.20 8
4 0 p1s2 0.3 0.10 8
5 3 p1s2 0.6 0.10 7
6 9 p1s2 1.0 0.30 5
7 0 p3s4 0.2 0.04 8
8 2 p3s4 0.5 0.10 7
9 8 p3s4 1.2 0.30 2
> test_growth_series_LUT
series_id description
1 p1s1 blah1
2 p1s2 blah2
3 p3s4 blah3
4 p4s2 blah4
5 p5s2 blah5
6 p6s2 blah6
7 p7s4 blah7
8 p8s4 blah8
9 p9s4 blah9
>
this is what I'm trying to achieve:
> new_test_growth_series
read_day series_id mean_od sd_od n_in_stat description
1 0 p1s1 0.6 0.10 8 blah1
2 3 p1s1 0.9 0.20 8 blah1
3 9 p1s1 1.3 0.20 8 blah1
4 0 p1s2 0.3 0.10 8 blah2
5 3 p1s2 0.6 0.10 7 blah2
6 9 p1s2 1.0 0.30 5 blah2
7 0 p3s4 0.2 0.04 8 blah3
8 2 p3s4 0.5 0.10 7 blah3
9 8 p3s4 1.2 0.30 2 blah3
还讨论我觉得你只是读它,望文生义... “通过=相交(名称(X),姓名(Y))” 的意思,“你可以指定要加入的名称(例如,通过=“id”),但默认值是x的名称和y的名称的交集。 – 2010-03-01 05:40:24