[英]Aggregate (Summarize) multiple Time Series Data by Month in .r
我有數百個每日天氣數據,擴展名為.txt,常用文件夾中以逗號 (",") 作為分隔符。 每個文件具有相同的數據結構,但文件名不同。 下面是一個數據結構的例子:
$ year : int 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 ...
$ month : int 1 1 1 1 1 1 1 1 1 1 ...
$ day : int 1 2 3 4 5 6 7 8 9 10 ...
$ V1 : num 18.4 22.9 19.9 22.9 23.4 9.8 13.9 17.5 20.3 22.7 ...
$ V2 : num 30.8 31.5 31.4 31.3 31.5 29.8 30.1 30.6 30.5 31.1 ...
$ V3 : num 23.4 23.7 23.2 23.3 23.4 22.9 23 23.4 23.1 23.2 ...
$ V4 : num 2.2 0 0 0 0.9 3.6 3.5 3.7 1.2 0 ...
$ V5 : num 0.93 0.86 0.88 0.87 0.87 0.98 1 0.96 0.96 0.91 ...
$ V6 : num 1.6 3.5 5.2 5.5 3.9 4.2 4.2 4.9 4.9 4.4 ...
我需要對每個文件中的其中一個變量(比如說 V4)的總月度進行總結。 而想要的每個文件的output數據結構是這樣的(第一列是年,第二列是月,第三列是V4日值的總和):
Year 1 Month 1 22.1
Year 1 Month 2 82.4
Year 1 Month 3 142.8
Year 1 Month …etc 314
Year 2 Month 1 48.9
Year 2 Month 2 173.6
Year 2 Month 3 76.2
Year 2 Month …etc 517.4
Year 3 Month 1 117.8
Year 3 Month 2 20.1
Year 3 Month 3 169.8
Year 3 Month …etc 191.5
然后我需要將結果導出為所有文件中的 unique.txt 文件,新文件的名稱根據每個文件的原始文件(例如:before_file1.txt 到 result_file1.txt)。 我有一個使用 Purrr 的腳本,但似乎什么也沒發生。 如果您願意用正確的方法幫助我改進腳本,請多多指教。 謝謝
# Load packages
library(tidyverse)
library(dplyr)
library(purrr)
# Setting working directory
workingdirectory <- "D:/Directory"
setwd(workingdirectory)
# Listing the files in the folder with .txt extension
FilesList <- list.files(workingdirectory, pattern = "\\.txt$", full.names = TRUE)
# Looping per files
purrr::map(FilesList, ~{
.x %>%
# Read csv file
read.csv(sep = ",", header = FALSE, stringsAsFactors = FALSE) %>%
# select variables
variables <- c("year", "month", "day", "V4") %>%
# summarize monthly of V4
group_by(month, year) %>%
summarise(monthly = sum(V4)) %>%
})
# Write the data back
write.csv(paste0('Result_', basename(.x)), sep = ",", row.names = FALSE)
我已經編輯了腳本,但是有一個錯誤。 請幫助修復它。 謝謝
Error: unexpected '}' in:
"
}"
>
> # Write the data back
> write.csv(paste0('TM_', basename(.x)), sep = ",", row.names = FALSE)
Error in basename(.x) : object '.x' not found
In addition: Warning message:
In write.csv(paste0("TM_", basename(.x)), sep = ",", row.names = FALSE) :
attempt to set 'sep' ignored
我認為你已經在正確的方向。 我建議的解決方法是在運行 purrr::map function 之前定義 function。
因此,代碼應如下所示:
# Load packages
library(tidyverse)
library(dplyr)
library(purrr)
# Setting working directory
workingdirectory <- "D:/Directory"
setwd(workingdirectory)
# Listing the files in the folder with .txt extension
FilesList <- list.files(workingdirectory, pattern = "\\.txt$", full.names = TRUE)
columnNames <- c("year", "month", "day", "pcp_day")
# define function
processing <- function(x){
x %>% read.csv(sep = "", header = FALSE, stringsAsFactors = FALSE) %>% rename_at(c(1,2,3,7), ~columnNames) %>% filter(month != 2 | day != 29) %>% group_by(month, year) %>% summarise(monthly = sum(pcp_day))
}
# Looping per files and # Write the data back
purrr::map(FilesList, ~processing(.x) %>% write.csv(paste0('Result_', basename(.x)), row.names = FALSE))
如果運行成功,您可以在您工作的工作目錄中找到輸出。
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