我之前问过一个非常相似的问题,但我得到的答案似乎不适用于这种情况。我的代码的目的主要是获取一个文件,对其进行操作并将操作后的文件保存在旧文件上。不幸的是,有很多文件,所以我合并了一个 for 循环,但它在循环运行一次后就停止了。我认为我的 return 函数在正确的位置,并且我的 for 语句在以前稍微不同的脚本版本中工作。这是我的代码:
AddLatLon<- function(num, condition){
#Set working directiory
# num is the number of files needing extraction e.g (3:5) , c(2,7)
connect <- file("./EOBS DATA/sources.txt", "r")
locdata <- readLines(connect)
close(connect)
info <- locdata[24:length(locdata)] # removes non data before the data begins
Infodata <- read.table(text = info, sep=',',fill=TRUE,colClasses='character',header ==TRUE )
InfoTable <- read.csv("./EOBS DATA/sources.csv")
InfoTable$STAID <- as.numeric(InfoTable$STAID)
for(i in c(num)){
filename <-paste("./EOBS DATA/",condition, "_csv_data/", condition,i, ".csv", sep = "")
#if(i <10){
#filename <- paste("./EOBS DATA/ECA_blend_", condition, "/" ,CONDITION, "_STAID00000", i, ".txt", sep = "")
#}
#if(i >=10 & i < 100){
#filename <- paste("./EOBS DATA/ECA_blend_", condition, "/" ,CONDITION, "_STAID0000", i, ".txt", sep = "")
#}
#if(i>= 100 & i <1000){
#filename <- paste("./EOBS DATA/ECA_blend_", condition, "/" ,CONDITION, "_STAID000", i, ".txt", sep = "")
#}
#if(i>= 1000){
#filename <- paste("./EOBS DATA/ECA_blend_", condition, "/" ,CONDITION, "_STAID00", i, ".txt", sep = "")
#}
if(file.exists(filename) == FALSE) {
next
}
#con <- file(filename, "r")
#data <- readLines(con)
#close(con)
#q <- data[21:length(data)] # removes non data before the data begins
#Impactdata <- read.table(text = q, sep=',',fill=TRUE,colClasses='character',header = TRUE )
x <- read.csv(filename)
point <- match(i, InfoTable$STAID)
Lat <- InfoTable[point,5]
Lon <- InfoTable[point,6]
Lat <- as.character(Lat)
Lon <- as.character(Lon)
x$Lat <- Lat
x$Lon <- Lon
x$X <- NULL
x$DATE<- as.Date(as.character(x$DATE), format='%Y%m%d')
Savename <- paste("./EOBS DATA/",condition, "_csv_data/", condition,i, ".csv", sep = "")
if(condition == "rr"){
condition <- "Precipitation"
}
if(condition == "tn"){
condition <- "Minimum Temperature"
}
if(condition == "tx"){
condition <- "Maximum Temperature"
}
names(x)<- c("Station_ID", "Source_ID", "Date(yyyy-mm-dd)", condition, "Quality_code(0='valid'; 1='suspect')", "Latitude", "Longitude")
write.csv(x, Savename)
}
return(head(x))
}