我正在尝试使用R生成嵌套的JSON文件，并且在设置它时遇到了困难。我承认对JSON非常陌生，因此从概念上讲我落后了。我将不胜感激任何帮助-包括在其他地方（R以外）提供的建议，可以使此任务更轻松。
我正在使用3个数据集-全部通过键连接。本质上，我的目标是创建一个包含患者对象的JSON文件，该对象具有嵌套的遭遇和嵌套的索赔行。
这是R中的设置：
patients <- data.frame ( PatientID = c('PID01','PID02'), PatientName = c('John Doe','Jane Doe'), PatientGroup = c('Group A','Group B') ) encounters <- data.frame ( EncounterID = c('Enc01','Enc02','Enc03','Enc04','Enc05'), PatientID = c('PID01','PID01','PID02','PID02','PID02'), EncounterType = c('Outpatient','Outpatient','Inpatient','Outpatient','SNF') ) encounterLines <- data.frame ( EncounterID = c(rep('Enc01',5),rep('Enc04',2)), RevCodes = c('001','100','200','300','400','001','100'), ClaimLine = c(seq(1:5),seq(1:2)) ) ---------------------------------------- PatientID PatientName PatientGroup ----------- ------------- -------------- PID01 John Doe Group A PID02 Jane Doe Group B ---------------------------------------- ----------------------------------------- EncounterID PatientID EncounterType ------------- ----------- --------------- Enc01 PID01 Outpatient Enc02 PID01 Outpatient Enc03 PID02 Inpatient Enc04 PID02 Outpatient Enc05 PID02 SNF ----------------------------------------- ------------------------------------ EncounterID RevCodes ClaimLine ------------- ---------- ----------- Enc01 001 1 Enc01 100 2 Enc01 200 3 Enc01 300 4 Enc01 400 5 Enc04 001 1 Enc04 100 2 ------------------------------------我正在寻找的JSON输出如下。我尝试使用
jsonlite，但似乎无法获得任何实际的牵引力：
[ { "PatientID": "PID01", "PatientName": "John Doe", "PatientGroup": "Group A", "Encounters": [ { "EncounterID": "Enc01", "EncounterType": "Outpatient", "ClaimLines": [ { "ClaimLine": 1, "RevenueCode": "001" }, { "ClaimLine": 2, "RevenueCode": "100" }, { "ClaimLine": 3, "RevenueCode": "200" }, { "ClaimLine": 4, "RevenueCode": "300" }, { "ClaimLine": 5, "RevenueCode": "400" } ] }, { "EncounterID": "Enc02", "EncounterType": "Outpatient" } ] }, { "PatientID": "PID02", "PatientName": "Jane Doe", "PatientGroup": "Group B", "Encounters": [ { "EncounterID": "Enc03", "EncounterType": "Inpatient" }, { "EncounterID": "Enc04", "EncounterType": "Outpatient", "ClaimLines": [ { "ClaimLine": 1, "RevenueCode": "001" }, { "ClaimLine": 2, "RevenueCode": "100" } ] }, { "EncounterID": "Enc05", "EncounterType": "SNF" } ] } ]任何/所有帮助将不胜感激。如前所述，我不反对在R之外使用工具。
谢谢！
我正在尝试使用R生成嵌套的JSON文件，并且在设置它时遇到了困难。我承认对JSON非常陌生，因此从概念上讲我落后了。我将不胜感激，包括...
这似乎很接近
library(tidyverse)
library(jsonlite)
json <- reduce(list(
patients %>% mutate_if(is.factor, as.character),
encounters %>% mutate_if(is.factor, as.character),
encounterLines %>%
mutate_if(is.factor, as.character) %>%
group_by(EncounterID) %>%
nest() %>%
rename(ClaimLines = data) %>%
mutate(ClaimLines = map(ClaimLines, transpose))),
left_join) %>%
nest(Encounters = c(EncounterID, EncounterType, ClaimLines)) %>%
transpose() %>%
toJSON(pretty = TRUE)
#[
# {
# "PatientID": ["PID01"],
# "PatientName": ["John Doe"],
# "PatientGroup": ["Group A"],
# "Encounters": [
# {
# "EncounterID": "Enc01",
# "EncounterType": "Outpatient",
# "ClaimLines": [
# {
# "RevCodes": ["001"],
# "ClaimLine": [1]
# },
# {
# "RevCodes": ["100"],
# "ClaimLine": [2]
# },
# {
# "RevCodes": ["200"],
# "ClaimLine": [3]
# },
# {
# "RevCodes": ["300"],
# "ClaimLine": [4]
# },
# {
# "RevCodes": ["400"],
# "ClaimLine": [5]
# }
# ]
# },
# {
# "EncounterID": "Enc02",
# "EncounterType": "Outpatient",
# "ClaimLines": {}
# }
# ]
# },
# {
# "PatientID": ["PID02"],
# "PatientName": ["Jane Doe"],
# "PatientGroup": ["Group B"],
# "Encounters": [
# {
# "EncounterID": "Enc03",
# "EncounterType": "Inpatient",
# "ClaimLines": {}
# },
# {
# "EncounterID": "Enc04",
# "EncounterType": "Outpatient",
# "ClaimLines": [
# {
# "RevCodes": ["001"],
# "ClaimLine": [1]
# },
# {
# "RevCodes": ["100"],
# "ClaimLine": [2]
# }
# ]
# },
# {
# "EncounterID": "Enc05",
# "EncounterType": "SNF",
# "ClaimLines": {}
# }
# ]
# }
#]
#
几个data.table加入，你也可以到达那里