Thank you. This possibly will work.
Tuhin Chakraborty
PhD
Geology & Geophysics
Indian Institute Of Technology, Kharagpur
Kharagpur-721302
On Sun, May 16, 2021 at 1:58 PM Rui Barradas wrote:
> Hello,
>
> You can also create an extra column with the column names corresponding
> to the column col.
Hi.
You also could try functions melt/cast from reshape2 package.
https://seananderson.ca/2013/10/19/reshape/
Cheers
Petr
> -Original Message-
> From: R-help On Behalf Of Kai Yang via R-
> help
> Sent: Saturday, May 15, 2021 2:55 AM
> To: r-help@r-project.org; Rolf Turner
> Subject: R
Hello,
You can also create an extra column with the column names corresponding
to the column col. I believe this extra column is not needed and with a
big data set it's even a waste of time and memory space but the code
below creates it.
res <- which(found, arr.ind = TRUE)
res <- as.data.fr
Hello,
The data makes clearer.
Do you want to know where are the values that cannot be coerced to numeric?
The auxiliary function f outputs a logical vector, sapply applies it
column by column and which(., arr.ind) gives the TRUE values as (row,
col) pairs.
txt <- "
LI(PPM) SC(PPM) TI(PPM) V
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