1
有幾個帖子與這個問題有關,但沒有人可以幫助我解決它。 例如 How to split a data frame? How to split a data frame into multiple data frames based on columns如何基於手動編號拆分數據框?
我想是分裂基於不同的列號的數據,對於實施例1,那麼我必須有儘可能多的列的數據幀具有。 2,I必須有一半的數據幀的數據的(如果它是偶數)
一個例子的數據低於
fredTable <- structure(list(Symbol = structure(c(3L, 1L, 4L, 2L, 5L), .Label = c("CASACBM027SBOG",
"FRPACBW027SBOG", "TLAACBM027SBOG", "TOTBKCR", "USNIM"), class = "factor"),
Name = structure(1:5, .Label = c("bankAssets", "bankCash",
"bankCredWk", "bankFFRRPWk", "bankIntMargQtr"), class = "factor"),
Category = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Banks", class = "factor"),
Country = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "USA", class = "factor"),
Lead = structure(c(1L, 1L, 3L, 3L, 2L), .Label = c("Monthly",
"Quarterly", "Weekly"), class = "factor"), Freq = structure(c(2L,
1L, 3L, 3L, 4L), .Label = c("1947-01-01", "1973-01-01", "1973-01-03",
"1984-01-01"), class = "factor"), Start = structure(c(1L,
1L, 1L, 1L, 1L), .Label = "Current", class = "factor"), End = c(TRUE,
TRUE, TRUE, TRUE, FALSE), SeasAdj = c(FALSE, FALSE, FALSE,
FALSE, TRUE), Percent = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Fed", class = "factor"),
Source = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Res", class = "factor"),
Series = structure(c(1L, 1L, 1L, 1L, 2L), .Label = c("Level",
"Ratio"), class = "factor")), .Names = c("Symbol", "Name",
"Category", "Country", "Lead", "Freq", "Start", "End", "SeasAdj",
"Percent", "Source", "Series"), row.names = c("1", "2", "3",
"4", "5"), class = "data.frame")
我想將它拆分至12個的數據幀並將它們命名爲情況1至12 。
所以我的第一數據幀是情形1
case_1
TLAACBM027SBOG
CASACBM027SBOG
TOTBKCR
FRPACBW027SBOG
USNIM
第二數據幀是殼體2
case_2
bankAssets
bankCash
bankCredWk
bankFFRRPWk
bankIntMargQtr
等
在情況下,我的數量設置爲2,我應該具有的名稱作爲cas_1,case_2 6列(對2),直到case_12
我知道分割功能用於分割數據,但我無法弄清楚如何做到這一點
,因爲我不喜歡
第一種情況split(fredTable, 1:ncol(fredTable))
謝謝,請你填寫你的答案。這打印出結果,我想讓他們在具有特定名稱的工作空間中,例如上面提到的,例如對於每個列,情況1至12 –
@koskeshkiramtodahanet我們可以使用'setNames'來完成此操作。請檢查更新 – akrun
我檢查了謝謝,它不是給我12分離的數據框架,但只有一個,也許我不能正確傳達我的問題。我想要有與數據框一樣多的數據框,具有保存在「環境」中的特定名稱的數據框,所以當我調用case_1時,我只能看到該列 –