I have an excel spreadsheet with several sheets. The format is as below:
Date A B C D E F Reference Ref Date Half life
03/01/13 6.29 5.28 8.15 4.93 11.67 6.4 8.88 01/01/99 30.23
04/01/13 6.39 5.39 8.22 5.04 11.75 6.4
07/01/13 6.34 5.32 8.17 4.92 11.82 6.4
08/01/13 6.33 5.3 8.16 4.96 11.68 6.4
09/01/13 6.29 5.29 8.13 4.93 11.73 6.4
10/01/13 6.29 5.32 8.17 4.95 11.61 6.4
11/01/13 6.21 5.27 8.12 4.95 11.57 6.4
14/01/13 6.28 5.28 8.09 4.92 11.65 6.4
15/01/13 6.25 5.26 8.06 4.9 11.59 6.4
16/01/13 6.26 5.3 8.08 4.94 11.7 6.4
17/01/13 6.27 5.27 8.09 4.96 11.57 6.4
18/01/13 6.29 5.27 8.04 4.94 11.57 6.4
21/01/13 6.34 5.33 8.23 4.99 11.68 6.4
22/01/13 6.31 5.34 8.23 4.97 11.63 6.4
23/01/13 6.24 5.26 8.03 4.93 11.58 6.4
24/01/13 6.24 5.27 8.03 4.93 11.56 6.4
25/01/13 6.26 5.3 8.08 4.93 11.6 6.4
I want to read the colmuns Date and A-F only into a data frame and ignore the elements in J1,2,K1,2 and L,1,2 which are used to calculate some values.
I am using read.xls from the package gdata
read.xls("filename.xls", "sheetname", na.strings=c("NA","#DIV/0!"))
However this gives me a data frame containing columns A - L. I could recast this data frame to the desired format but would prefer to choose which columns to read. Can I do this with read.xls in a similar manner that read.table can achieve this (Ways to read only select columns from a file into R? (A happy medium between `read.table` and `scan`?))
You can use library XLConnect
to read .xls files. Function readWorksheet()
lets you set columns and rows you need to import.
library(XLConnect)
wb<-loadWorkbook("wb.xls")
data <- readWorksheet(wb, sheet = "Sheet1",startCol=1,endCol=7)
With the readxl
package using read_xlsx
you can specify the range. Use read_xls or read_excel depending on file type.
library(readxl)
df <- read_xlsx(path = "filename.xlsx", sheet = "sheetname", range = cell_cols("A:G"))
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