Hello,
I recommend you save them all in a list. It's a much better idea than to
have length(names(wb)) objects in the globalenv.
Something like the following would read them all in one go.
xls_list <- lapply(seq_along(names(wb))[-1], function(i){
read.xlsx(wb, sheet = i)
})
names(xls_list) <- gsub(" ", "_", names(wb)[-1])
Then, you can process the list members with the *apply() functions, as in
result_list <- lapply(xls_list, some_function, arg2, arg3)
The first function argument is the sheet, arg2, etc, would be other
function arguments.
Hope this helps,
Rui Barradas
Às 13:07 de 29/03/2019, Assa Yeroslaviz escreveu:
I am trying to automate the way i read my tables. I have an Excel sheet I'm
reading using openxlsx package. The sheet contains over 30 sheets, i would
like to save each of them as separate objects.
my workflow for now is as such:
wb <- loadWorkbook(xlsxFile = "Output/Up_Down_Regulated_Gene_Lists.xlsx")
NAMES <- gsub(pattern = " ", replacement = "_", x = names(wb))
[1] "KO1_vs._WT_up" "KO2_vs._WT_down" "KO3_vs._WT_up"
"KO1_vs._WT_down" "KO2_vs._WT_up" ...
for (i in 2:length(names(wb)) ){
tmp <- read.xlsx(wb, sheet = i)
... Here I would like to have each sheet read in and sacved as a separate
data.frame.
}
Is there a way to read for each sheet the name from names(wb) and convert
it to a name for the object?
something like this
The object KO1_vs._WT_up will save the first sheet with the same name
The object KO2_vs._WT_down will save the second sheet.
etc.
Any ideas?
thanks
Assa
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