我通过API从在线数据库(REDcap)获取数据,数据以逗号分隔的字符串形式传递,
RAW.API <- structure("id,event_arm,name,dob,pushed_text,pushed_calc,complete\n\"01\",\"event_1_arm_1\",\"John\",\"1979-05-01\",\"\",\"\",2\n\"01\",\"event_2_arm_1\",\"John\",\"2012-09-02\",\"abc\",\"123\",1\n\"01\",\"event_3_arm_1\",\"John\",\"2012-09-10\",\"\",\"\",2\n\"02\",\"event_1_arm_1\",\"Mary\",\"1951-09-10\",\"def\",\"456\",2\n\"02\",\"event_2_arm_1\",\"Mary\",\"1978-09-12\",\"\",\"\",2\n", "`Content-Type`" = structure(c("text/html", "utf-8"), .Names = c("", "charset")))
我有这个脚本可以很好地将其解析为数据框,
(df <- read.table(file = textConnection(RAW.API), header = TRUE,
sep = ",", na.strings = "", stringsAsFactors = FALSE))
id event_arm name dob pushed_text pushed_calc complete
1 1 event_1_arm_1 John 1979-05-01 <NA> NA 2
2 1 event_2_arm_1 John 2012-09-02 abc 123 1
3 1 event_3_arm_1 John 2012-09-10 <NA> NA 2
4 2 event_1_arm_1 Mary 1951-09-10 def 456 2
5 2 event_2_arm_1 Mary 1978-09-12 <NA> NA 2
然后我做了一些计算并将它们写入pushed_text
和pushed_calc
,然后我需要将数据格式化回它所带来的凌乱的逗号分隔结构。
我想象这样的事情,
API.back <- `some magic command`(df, ...)
identical(RAW.API, API.back)
[1] TRUE
某些命令可以将我的数据格式从我创建的数据框df
格式化回原始API对象所带来的结构RAW.API
。
非常感谢任何帮助。
答案 0 :(得分:3)
这似乎有效:
some_magic <- function(df) {
## Replace NA with "", converting column types as needed
df[] <- lapply(df, function(X) {
if(any(is.na(X))) {X[is.na(X)] <- ""; X} else {X}
})
## Print integers in first column as 2-digit character strings
## (DO NOTE: Hardwiring the number of printed digits here is probably
## inadvisable, though needed to _exactly_ reconstitute RAW.API.)
df[[1]] <- sprintf("%02.0f", df[[1]])
## Separately build header and table body, then suture them together
l1 <- paste(names(df), collapse=",")
l2 <- capture.output(write.table(df, sep=",", col.names=FALSE,
row.names=FALSE))
out <- paste0(c(l1, l2, ""), collapse="\n")
## Reattach attributes
att <- list("`Content-Type`" = structure(c("text/html", "utf-8"),
.Names = c("", "charset")))
attributes(out) <- att
out
}
identical(some_magic(df), RAW.API)
# [1] TRUE