rbind.data.frames根据一列R保留唯一行 [英] rbind.data.frames keeping unique rows according to one column R
问题描述
我有两个不同的数据框，分别显示2014年和2015年的问卷调查结果，且均在同一列中。我想将2014年的唯一行（即ID码）添加到2015年的数据框中。
I have two different data frame showing questionnaire-results from 2014 and 2015, both with the same columns. I want to add the unique rows (i,e. ID-codes) from 2014 to the data frame from 2015.
问题是所有行都是唯一的（因为有23列），但我只想添加包含唯一ID码的行（其中一列），即回答问卷调查表2014而不是2015的人。
The problem is that all rows are unique (since there is 23 columns), but I only wish to add the rows containing an unique ID-code (one of the columns), i.e. people that answered the questionnaire 2014 but not 2015.
使用rbind.data.frames成功创建了 2014-2015数据框，但随后我想删除包含ID码的行，这些行既响应2014年，也响应2015年，并保留了2015年的响应。
Using rbind.data.frames succeedes in creating an "2014-2015 dataframe" but then I want to erase the rows containg ID-codes that answered both 2014 and 2015 and keeo those from 2015.
推荐答案
如果我对您的解释正确：
If I interpret you correctly:
df2014<-structure(list(ID = 1:7, V1 = structure(c(1L, 1L, 1L, 2L, 2L,
3L, 1L), .Label = c("A", "B", "C"), class = "factor"), V2 = structure(c(2L,
1L, 2L, 1L, 2L, 3L, 1L), .Label = c("A", "B", "C"), class = "factor"),
V3 = structure(c(1L, 1L, 2L, 3L, 3L, 3L, 1L), .Label = c("A",
"B", "C"), class = "factor")), .Names = c("ID", "V1", "V2",
"V3"), class = "data.frame", row.names = c(NA, -7L))
df2015<-structure(list(ID = 4:10, V1 = structure(c(1L, 1L, 1L, 2L, 2L,
3L, 1L), .Label = c("A", "B", "C"), class = "factor"), V2 = structure(c(2L,
1L, 2L, 1L, 2L, 3L, 1L), .Label = c("A", "B", "C"), class = "factor"),
V3 = structure(c(1L, 1L, 2L, 3L, 3L, 3L, 1L), .Label = c("A",
"B", "C"), class = "factor")), .Names = c("ID", "V1", "V2",
"V3"), class = "data.frame", row.names = c(NA, -7L))
library(dplyr)
rbind(dplyr::filter(df2014, !ID %in% intersect(df2014$ID, df2015$ID)), df2015)
结果数据框
ID V1 V2 V3
1 1 A B A
2 2 A A A
3 3 A B B
4 4 A B A
5 5 A A A
6 6 A B B
7 7 B A C
8 8 B B C
9 9 C C C
10 10 A A A
这篇关于rbind.data.frames根据一列R保留唯一行的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
