On 6/02/20 11:01 am, Thomas Subia wrote:
Jeff,
You wrote: " Pay attention to whether the read_csv call is configured to expect
first line as header."
Here is the code I'm using to extract one cell from a series of Excel files
having the same physical format.
library(plyr)
library(readxl)
files <- list.files(pattern="*.xls", full.names = TRUE)
# Extract part average from cell c6 for all Excel files
avgs <- lapply(files, read_excel, sheet="Flow Data", range=("c9"))
# Write data to text file
write.table(avgs ,"avgs.txt",sep="\t")
I'm not sure where read_csv applies here.
Jeff probably did not read your email as carefully as he might have, and
made the unwarranted assumption that you'd be doing something sensible
like using *.csv data files rather than mucking about with the
notoriously perilous arcana of Excel.
I *don't* muck about with Excel myself, unless absolutely forced to, so
I can't make any specific suggestions, but I *can* make a general
suggestion. When things go wrong, break the procedure down into simple
atomic steps.
* initially deal with just *one* of your *.xls files
* read it in: xxx <- read_excel(<whatever>)
* *don't* write it out to a text file yet, *look* at the <expletive
deleted> thing in R first; print it (just type "xxx" or "head(xxx)" if
it's large)
* perhaps convert it to a data frame (it will be a "tibble" and tibbles
confuse the issue): yyy <- as.data.frame(xxx)
* investigate whether supplying some more arguments to read_excel()
solves your problem
* perhaps try read.xlsx from the xlsx package and see if any insights
are revealed.
* if you're still stumped, make available to the list one of the
problematic *.xls files (note that you *cannot* attach such a file to
your email; it will get stripped; you'll need to provide a URL from
which the file can be obtained). Given such a file someone on the list
may be able to help you.
cheers,
Rolf Turner
--
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
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