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. FunctionreadWorksheet()
lets you set columns and rows you need to import.Another option is to use is to use
Excel named range
withRODBC
.Here
NamesRangeAF
is your Excel named Range.With the
readxl
package usingread_xlsx
you can specify the range. Use read_xls or read_excel depending on file type.