【发布时间】:2021-07-20 19:36:54
【问题描述】:
我正在尝试合并两个长格式的纵向数据。
df1:
patientid visit mental-health
703-FD 1 depressed
703-FD 2 depressed
703-FD 3 depressed
707-NM 1 non-depressed
707-NM 2 non-depressed
707-NM 3 depressed
df2:
patientid visit HIV_disclosure
703-FD 1 yes
703-FD 2 yes
703-FD 3 yes
707-NM 1 no
707-NM 2 no
707-NM 3 yes
我试过的代码:
data_combined <- full_join(x=df1, y=df2, by="patientid"):
patientid visit.x mental-health visit.y HIV disclosure
703-FD 1 depressed 1 yes
703-FD 1 depressed 2 yes
703-FD 1 depressed 3 yes
703-FD 2 depressed 1 yes
703-FD 2 depressed 2 yes
703-FD 2 depressed 3 yes
703-FD 3 depressed 1 yes
703-FD 3 depressed 2 yes
703-FD 3 depressed 3 yes
707-NM 1 non-depressed 1 no
707-NM 1 non-depressed 2 no
707-NM 1 non-depressed 3 yes
707-NM 2 non-depressed 1 no
707-NM 2 non-depressed 2 no
707-NM 2 non-depressed 3 yes
707-NM 3 depressed 1 no
707-NM 3 depressed 2 no
707-NM 3 depressed 3 yes
如何编辑上面的代码以同时通过 patientid 和 visit 变量合并?
我试过了:
library (dplyr)
data_combined <- full_join(x=df1, y=df2, by="patientid", "visit")
所需的加入/合并数据框:
patientid visit mental-health HIV disclosure
703-FD 1 depressed yes
703-FD 2 depressed yes
703-FD 3 depressed yes
707-NM 1 non-depressed no
707-NM 2 non-depressed no
707-NM 3 depressed yes
我确定这是一个简单的代码,但我已经为此苦苦挣扎了一段时间;请帮忙。
【问题讨论】:
-
data_combined <- full_join(x=df1, y=df2, by=c("patientid", "visit"))。见stackoverflow.com/questions/1299871/… -
您可以将数据作为结构或数据框发布吗?
标签: r join merge longitudinal