答案 0 :(得分:4)
我不知道任何R Excel API是否足够智能来处理您的列格式,但有一个简单的解决方法。您只需将上述工作表保存为CSV格式即可。对上面显示的数据执行此操作会给我留下以下三条CSV行:
Title,,,,,
name,mike,number,123214,age,28
,score,,ddd,aaa,bbb
您可以尝试以下代码:
df <- read.csv(file="path/to/your/file.csv", header=FALSE)
df <- df[2:nrow(df), ] # drop first row
获取Mike的姓名,号码和年龄:
name <- df[1, 2]
number <- df[1, 4]
age <- df[1, 6]
答案 1 :(得分:1)
您可以在Excel中运行VBA代码,并将任意数量的XLSX文件转换为CSV文件。然后遍历所有CSV文件以将所有CSV文件合并到R中的数据框中。
Sub Convert_Excel_To_CSV()
Dim MyPath As String, FilesInPath As String
Dim MyFiles() As String, Fnum As Long
Dim mybook As Workbook
Dim CalcMode As Long
Dim sh As Worksheet
Dim ErrorYes As Boolean
Dim LPosition As Integer
'Fill in the path\folder where the Excel files are
MyPath = "C:\Users\Ryan\Desktop\Excel_Files\"
FilesInPath = Dir(MyPath & "*.xlsx*")
If FilesInPath = "" Then
MsgBox "No files found"
Exit Sub
End If
Fnum = 0
Do While FilesInPath <> ""
Fnum = Fnum + 1
ReDim Preserve MyFiles(1 To Fnum)
MyFiles(Fnum) = FilesInPath
FilesInPath = Dir()
Loop
With Application
CalcMode = .Calculation
.Calculation = xlCalculationManual
.ScreenUpdating = False
.EnableEvents = False
End With
If Fnum > 0 Then
For Fnum = LBound(MyFiles) To UBound(MyFiles)
Set mybook = Nothing
On Error Resume Next
Set mybook = Workbooks.Open(MyPath & MyFiles(Fnum))
On Error GoTo 0
If Not mybook Is Nothing Then
LPosition = InStr(1, mybook.Name, ".") - 1
mybookname = Left(mybook.Name, LPosition)
mybook.Activate
'All XLSX Files get saved in the directory below:
ActiveWorkbook.SaveAs Filename:="C:\your_path_here\" & mybookname & ".csv" _
, FileFormat:=xlCSVMSDOS, _
CreateBackup:=False
End If
mybook.Close SaveChanges:=False
Next Fnum
End If
If ErrorYes = True Then
MsgBox "There are problems in one or more files, possible problem:" _
& vbNewLine & "protected workbook/sheet or a sheet/range that not exist"
End If
With Application
.ScreenUpdating = True
.EnableEvents = True
.Calculation = CalcMode
End With
End Sub
setwd("C:/your_path")
fnames <- list.files()
csv <- lapply(fnames, read.csv)
result <- do.call(rbind, csv)
******** ******** ******** ******** ******** ******** ******** ********
filedir <- setwd("C:/your_path")
file_names <- dir(filedir)
your_data_frame <- do.call(rbind,lapply(file_names,read.csv))
******** ******** ******** ******** ******** ******** ******** ********
filedir <- setwd("C:/your_path")
file_names <- dir(filedir)
your_data_frame <- do.call(rbind, lapply(file_names, read.csv, skip = 1, header = FALSE))
******** ******** ******** ******** ******** ******** ******** ********
filedir <- setwd("C:/your_path")
file_names <- dir(filedir)
your_data_frame <- do.call(rbind, lapply(file_names, read.csv, header = FALSE))
******** ******** ******** ******** ******** ******** ******** ********
#
temp <- setwd("C:/your_path")
temp = list.files(pattern="*.csv")
myfiles = lapply(temp, read.delim)