Colleagues,
I'm using readxl and dplyr to extract a specific cell from all worksheets in a
directory.
All of these worksheets have the same physical layout.
Issue 1: Minus sign replaced by an X after data extraction.
library(plyr)
library(readxl)
files <- list.files(pattern="*.xls", full.names = FALSE)
avgs <- lapply(files, read_excel, sheet="Flow Data", range=("c9"))
avg_list <- as.data.frame(avgs)
trans_avgs <- t(avg_list)
write.table(trans_avgs,"avgs.txt")
Here are the first lines of the avgs.txt file.
"X.0.51571428571428557"
"X.0.5349795918367346"
"X.0.4895714285714286"
"X.0.5112448979591836"
The original Excel file contains
-0.516
-0.535
-0.490
-0.511
It appears that readxl is changing the - sign to an X.
Is there any feature in readxl which I can change so that readxl extracts the
minus sign?
Issue 2: Duplicate dates contain additional characters
dates <- lapply(files, read_excel, sheet="Flow Data", range=("h14"))
dates_list <- as.data.frame(dates)
trans_dates <- t(dates_list)
write.table(trans_dates ,"dates.txt")
Here are the first lines of the dates.txt file.
"X43859"
"X43859.1"
"X43859.2"
"X43859.3"
"X43833"
In Excel, this is what is recorded.
1/29/2020
1/29/2020
1/29/2020
1/29/2020
1/3/2020
It appears that readxl is adding additional characters which are signaling
duplicate dates.
Is there any feature in readxl which can I can change to eliminate these
additional characters?
Some advice would be appreciated.
Thomas Subia
Statistician / Senior Quality Engineer
IMG Companies
225 Mountain Vista Parkway
Livermore, CA 94551
T. (925) 273-1106
F. (925) 273-1111
E. tsu...@imgprecision.com
Precision Manufacturing for Emerging Technologies
imgprecision.com
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